Good afternoon everybody. Please take your seats. Welcome to the pitch by Deel. This afternoon, you'll have the opportunity to hear from 35 innovative, amazing young companies, each handpicked from over a thousand applications just in Israel. These companies represent the future of building, selling, and living. My name is Daria Fuches and I'm going to be taking you through this journey this afternoon. I'm a managing director at JP Morgan and I lead the innovation economy business in Israel and I have the pleasure to support and advise high-growth tech companies every day, which is why I'm very excited to hear from all these amazing companies today. The innovation and drive in Israel is unmatched as you all know and I'm so proud to be part of this ecosystem that not only survives but thrives.
So the pitch is an incredibly special initiative. Behind it is really a big vision and a deep conviction in the next generation of entrepreneurs. Some of you might know but Deel started as a Y Combinator company. So they were in the same situation as a lot of these companies. And the Deel founders know what it's like. They know what it's like to have sleepless nights, to have doubts, and to work really hard. So today is an opportunity for those 35 companies to have the stage and have the exposure in front of all of you. Today's event is part of a world tour. This has already been in Paris, Berlin, London, and New York, and they were great successes. Next is Singapore and Dubai and then the grand finale. The rules are simple. They're a bit cruel. So, each founder will have two minutes, exactly two minutes. And at stake are 10 $50,000 checks. Yes, those big big checks. You'll see them at the end of the day.
I think we wanted to show the sponsors for a second. The next slide. So, this event couldn't take place without the amazing group of sponsors. So, let's give them each a round of applause. And with that, I'd like to welcome Tom Al-Khadif from the Tel Aviv Stock Exchange.
There's a lot of lights. Good afternoon, everyone. We are extremely excited to host this very important event here at the Tel Aviv Stock Exchange. Before we begin, I would like to take a moment and connect you to the place you're all sitting in right now. We refer to this place as the heart of the Israeli economy and for a good reason. On a regular basis, anyone who is a part of the Israeli capital market cross paths with this place. CEOs, CFOs, investors, both retail and institutional. Banks, underwriters, all of them are in touch with us in a certain capacity. It's not a secret that Israel is a global hub for technology and innovation. Israeli companies are becoming increasingly global. They hire global, they sell global, and they compete on a global scale.
A significant part of our attention is dedicated to solidify this inherited connection between the local capital market and the world in a process that we like to call the globalization of the Israeli capital market. As many of you know, the Israeli capital market has been going through a globalization process in recent years. We switched our trading week to align with global markets and now we trade Monday through Friday. We launched an AI translation service to all Tel Aviv 125 companies and we actively support global banks and issuers throughout their IPO process, dual listings and other cross-border activities. In fact, in 2025 alone, we've seen an impressive growth of 70% in global investor participation in the market. On top of that, we identified that the growth is not only in quantity of investors but also in the quality of them.
Behind me is a list of some of the global investors that are currently invested in the Tel Aviv Stock Exchange. Well, that's not the right one. Either way, this is the right one. Thank you. You can see these are some of the biggest, most prestigious names in the financial world. Additionally, the Israeli capital market has gone through tremendous growth in recent years. In fact, we see a significant growth in almost any indicator we look at, from trading volumes which almost tripled, to market caps that turned Tel Aviv 125 to the billion-dollar club, and of course the performance that we all care for. The Tel Aviv flagship indices beat all other global indices in the world both in 2024 and 2025.
Now, despite these impressive numbers that keep growing as we speak, the market still has plenty of room for growth. Compared to global markets, we still see plenty of upside when it comes to retail and global investor participation in the market. Our efforts have been and still are to support companies throughout the life cycle, from the pre-IPO stage throughout the global or local IPO, follow-on offerings, dual listings, and maintaining relationships with global players. Now more than ever, with rising interest of global Israeli companies in the Israeli capital market and the raising thresholds for entry for tech companies to the US market, we find our position important and beneficial for all stakeholders involved. I want to thank you for your time and wish good luck to all the participants today. Now I'm honored to invite to stage Mr. Philippe Bouaziz, the Executive Chairman and Chief Strategy Officer at Deel.
Thank you. Thank you so much and thank you for hosting us in the Tel Aviv Stock Exchange. But everybody needs to see me so I need to move pictures. He wants me to stand on the light. This is tough sometimes, you know, I need to see as well. So founders, Tel Aviv Stock Exchange, you all want to be listed here, right? Unless you prefer NASDAQ, but these days Tel Aviv Stock Exchange is not so bad. So, thank you so much. Thank you all sponsors and thank you to the Tel Aviv Stock Exchange. I'm very happy to be back home in Israel and to see this event as usual packed. You know, we've been used to be there with also Sona and it's so cool to see this vibrant startup ecosystem.
It's like close to 2,000 startups that started application or applied and register for this event. So in case people think there is no startup in Israel, well I can assure you that there is a lot and the people that are going to pitch today, you know, are really cream of the cream of what is done today in Israel. And we're very happy that we've been able to give the chance to this company, proving again what it means to be resilient in Israel. We do business, we do startup, we create tons of IP, we are leading the world and this is who we are.
So to my friends, founders, I remember I was in this room looking at my co-founders at Deel, Alex, my son, and Shuo, you know, pitching this three minutes. It was three minutes at Y Combinator, way too long for us Israelis, right? And I remember, you know, how much enthusiastic we were. Everything possible, everything open, let's push, let's build. And I've been so happy to see that this spirit is still here and there will be some fight today, you know, 40 companies pitching, only 10 will win. And so the exercise of the pitch, you know, is very important because you can make a nice deck, you can make a lot of things, but a founder needs to have clarity on what is long-term strategy. It can change, we can change every day, but at least at the moment where he will explain what is his project. It's so important to see that people understand what they are working on and what's their ambition. And it's also the opportunity to see, you know, all about charisma, their enthusiasm, and the passion they have. So this is all what we judges are going to work on today. It will be tough. I did a few, it's really tough, you know, to say this one, not that one, but that's super cool. Anyways, very happy to see this home packed and I hope you will enjoy. I did enjoy a lot, you know, to look at all these decks. I hope you will like the selection, I think very various. Thanks again for being there. Thank you.
Thank you Philippe. So I think before we get started, in addition to the judges, if you can show the next page, these are the judges, our esteemed group of judges from all walks of the ecosystem, VCs, executives. At the end of the pitches they're going to go to the green room and deliberate. So thank you all for being here. If you go to the next slide, in addition to the judges, one more slide. Here there's a QR code. The whole audience is invited to scan this and you can upvote on Product Hunt as we go. So encourage you all to participate with that. And without any further ado, we're going to start. I think it would be a miss to be in Israel and not start with security and trust. One of our strengths in Israel. So from blockchain exploits draining wallets in seconds to supply chain breaches that ripple through continents, the threat surface has never been wider and never more unforgiving. Compliance frameworks are multiplying, regulations are tightening, and yet many organizations are still playing defense with yesterday's playbook. These companies are rewriting the rules of digital resilience from proactive threat detection to legal-grade certification. Please welcome these five companies.
Hello everyone. Good afternoon. Thank you for the organizer. First of all, my name is from Above Security. We redefine how organizations deal with insider risk. Historically, a good insider risk program belonged only for the three-letter agencies, massive enterprises. And still, although they had massive amounts of analysts and budgets, it took a lot of time to actually understand what happened after an incident. They had an incident, then they started an investigation, and then they had a story, part of it. So they were reactive. Imagine what happened for organizations without the ability to have a massive amount of budget to understand what's happening inside. What Above Security does? We have a fleet of AI insider risk analysts working 24/7 and understand the intent and the context about each one of your employees. When something becomes risky, we intervene in real time and prevent it for your safety. Another thing in different domains: shadow IT, exfiltration, flight risk, and corporate use communication. We raised $50 million from prominent venture capitals including Ballistic, Merlin, and Norwest. We are here to make insider risk, good insider risk, available for every enterprise. Thank you.
Hello everyone. My name is Jonathan Gurvitz and I am the CEO of Bond. Please raise your hand if your navigation app showed you the wrong location recently. Great. This is called a GNSS or a GPS interference. When it happens to us, it's annoying. But when it happens to a drone, it can be brutal. Drones like this crash every day around the world. And it's not only because of military-grade weapons. Even I have a $55 jammer from AliExpress that can do the exact same thing. Now, GNSS interference goes all around the world. In the United States alone, there was an increase of 830% in jammer seizures at borders. And these jammers are illegal, dangerous, and nowhere to be located by the authorities. Now GNSS interference happens everywhere and no one can see it in drones, robot taxis, and aircrafts. Bond makes the invisible visible by providing a real-time GNSS interference map down to the street resolution without any hardware required. We provide help for drones to navigate themselves under those interferences instead of crashing down. We help law enforcement localize these jammers and lock up the criminals using them. And we provide a GPS weather map for operators so they know what areas to avoid. We exist only eight weeks and we already secured three pilots with a leading drone company, the Israeli Farmers Association, and the Ministry of Agriculture, which reports $34 million in losses each planting season in Israel alone. For each drone that crashes, losses can reach up to $50,000. The drone company we work with already reports a 50% decrease in drone crashes ever since they started using Bond. 2% of the global GDP relies on GNSS-based systems. Yet no one monitors it in real time. In the IDF, I was in charge of the GNSS interference while my co-founder Tomer was the one trying to avoid them as a drone expert. Together we are the perfect team to solve this problem. Thank you.
Hello everyone. A 55-year-old widow from Munich was about to transfer her life savings to a person she met online. He told her he loves her, but fact is he was a slave worker from Cambodia from a scam farm. Now, she bought crypto for the first time in her life on an exchange and hit the send button. Luckily, that exchange was a client of ours and we managed to identify the transaction in real time and block it. We also found out that it was a money mule with a bank account at a French neobank. That account was closed that same day. It is not a story that is unusual because $40 billion were stolen in hacks and scams in 2025. And fintechs and banks like Deel and JP Morgan that are stepping into the crypto scene, they figure out that it's a balance sheet issue. I had a call yesterday with the chief compliance officer of Deel, Anthony, and he told me about his challenges in that field. So that's where Cyber steps in. Cyber is the institutional-grade threat prevention layer for digital assets. We already prevented, I repeat, prevented $800 million for our clients in potential client losses. We have processed half a trillion dollars in client funds and we provide one platform that has three engines: security, fraud, and compliance. Back the team that has already proven it can stop the next $1 billion scam. Thank you.
Hi everyone. Hi, I'm Nuri from Superlegal. Nice to meet everyone. Superlegal is the world's first AI law firm for small and medium businesses. We provide businesses, small and medium, with affordable, easy, simple, cost-effective solution to review, negotiate their ongoing contracts. Okay, so contracting is a huge problem for SMBs. They handle contracts every day, but they don't have the expertise to handle it. When you think about it, the de-risk for an SMB is huge compared to an enterprise. If they make a mistake, they can lose their business. They can't close their quarter or the deal might go away. Ironically, small businesses currently don't have a good solution for this problem. They are too small for hiring an in-house counsel and they are too niche for a good law firm. So, they spend their money and time either doing the work on their own with their low-level executives or paying a law firm and getting mediocre service. AI is fixing all of that. It's really changing the way this industry operates. It opens the door for SMBs to get the service that they need, which means they can handle the ongoing flow of contracts, the growing number of contracts more efficiently. To solve this problem, Superlegal built an AI law firm from the ground up. We have proprietary AI that helps power our solution. We received a special license to practice law as a technology company. We also built a lot of client-facing software to give them a digital experience. And we built the legal operations infrastructure to combine AI verified by human attorneys to give them a solution that they can really trust. All of this translates to very clear value proposition for SMBs. We're more affordable, we're faster, we're tailored for their needs, and we have lawyers in the loop. We have over $2 million of ARR, 70% gross margin, and we sell very quickly at 21 days. We're very excited about changing the world of SMBs with legal, which is affordable. Thank you so much.
Hello everyone. I'm Richard, CTO of Rhino, and I'm here to ask you a question today. Let's figure out if you can find out which image behind me is AI generated. It's very hard to know. Actually, I forgot which one, by the way. But that's okay because today AI has killed visual proof. Today with AI, it's almost impossible to know if an evidence is real or not. We can fake insurance claims. We can fake a construction site. We can even fake a delivery from Walmart. And that's a big problem because today the economy still pays based on pictures. Today we've seen big frauds in the US with a $45 billion loss in frauds because of fake images and documents. And Rhino is here to solve that. Rhino turns every operation on the ground into a digital proof. Rhino lets you certify photos, videos, phone calls, and even video calls. All of this in one place. Every certificate you generate with Rhino has a legal value. Now let's talk about traction. We launched Rhino with my co-founder but we couldn't see him on the deck. I don't know why. Three months ago and we have huge traction. We already achieved $37K in MRR and are fully bootstrapped. So now if you want to join the trust layer of the internet and stop the scams, take my number. Thank you guys.
AI didn't just knock on our doors and knock them wide open. We are in an era where code writes itself, infrastructure self-heals, and creative assets generate on command. The winners won't be those who simply use AI. They'll be the ones who build the picks and shovels for this gold rush. These companies are forging the tools that will define how the next generation builds, deploys, and creates. Please welcome these next seven companies.
Start. For the first time in software history, building is not the hardest problem to solve. Deciding what to build is. Nowadays, shipping is cheap. AI made everyone builders. Product judgment, this is still rare, still a constraint. Enterprises are used to spending millions of dollars building things nobody really needs. AI now accelerates outputs, meaning that the waste is not incremental, it's exponential. At the same time, we're entering a new era from humans building for humans to machines building with machines, artifacts flowing across systems autonomously. But the product development life cycle hasn't caught up. That's exactly where Bagel AI fits in. Bagel AI is your product decision partner. A system that tells you what you need to build and why. Based on real, continuous evidence, we unify millions of data points across your systems, feedback, usage, your book of business, your development, and we built your agentic product brain for your company. It learns, it remembers, it improves, and it turns noise into high-impact decisions. So now your team doesn't just move faster, it moves in the right direction, shipping what actually matters. And it works. For the past year alone, we did 4x in ARR. We're trusted by the most innovative and successful companies in the industry like Tali, 8x8, Insider, even the platforms themselves where feedback is born like Gong and Freshworks use Bagel. We're a team of serial founders that felt these pains and this is just the first bite of the bagel. Going forward we are reinventing the entire product development life cycle. So if you care about building the right thing, let's share a bagel.
Hey everyone, I'm Saki. I'm the co-founder and CEO of Fly Code. Fly Code is helping merchants to accept more payments and make more money. And let's face it, who doesn't want to make more money? We are also a Y Combinator company like Deel. You probably all got a version of this email: Your payment failed. Now you need to fix it. We also got it. One of our website services failed. A customer actually told us the card was valid, but we never got the email. And it's not just us. It's happening every day for every subscription, for every AI, for every app, for every B2B tool out there. Payments are failing every day. And the tools today from the platforms are really basic. Try every three days. Send a few emails and basically pray to save the payments. It's a huge market. More than a trillion a year. More than $1 billion of failed payments are failing every single day. This is what we do. Fly Code is failed payments on autopilot. We handle every workflow of your payment. We do the retries, we send the emails, we do adaptive cards, we handle the full life cycle of the subscription for you and we are doing it globally for customers. And it's working. We are growing fast. We are seven digits in ARR, 3x from last year. We are partners of Stripe. Visa launching with Mastercard next month. Integrated heavily in Shopify to support every subscription business in the world. I'm Saki from Fly Code. Money in the bank. Thanks a lot.
Hi, I'm Anair, founder of Generate. If you've been living on LinkedIn like myself, you must think that by now sales has become a playground. Co-pilots, agents, SDRs, and Claude does the rest. But in reality, enterprise sales has only become harder and harder and harder. The reason is that sales is an agreement between two people who are not aligned. And in order for them to get aligned, they need to have the full context. Relevance, causality, impact. AI, it's nice. It's a statistical satisfier. It doesn't close deals. So, you need something different. And that's what we do. Military-level recon for enterprise sales. We have our own model. We have our own data and we created this layer for enterprise people in a $1.4 trillion economy. Even a marginal impact is $50 billion of business. And we've been able to work together as customers with Checkpoint, Amdocs, Sopos, Brex, and others. We're already at $400,000 ARR and we're scaling quickly to $3 million by next year. Our customers enjoy a personal recon officer with their own signals, alerts, and priorities. They don't need to activate very complicated AI agents or scroll through a lot of manual work. They're fully briefed before meetings. And we already have a customer who closed a seven-digit deal after two years of banging their head against the wall. We are active on day one and we scale as we grow. We call it a perfect first date and an even better marriage. We're a team of military, recon, AI, enterprise sales, and management. We work together. We're all co-founders and we love each other. If you're in the real world, work with Generate AI. Thank you.
Hi everybody. I'm O Vidal and I've been a producer for nearly 25 years. So I can tell you firsthand that making a production involves hundreds of moving parts including actors, locations, stunts, wardrobe, visual effects. All of this must come together to tell a coherent story. Yet all of this is still managed today manually using spreadsheets, documents, and disconnected tools. The global film and TV industry spends over $200 billion a year. Yet production is still slow and inefficient. Imagine is an AI-powered operating system for film and TV production structured to bring automation to the entire production process. What used to take days with Imagine can be done in minutes. You can upload the script and get a full production-ready plan almost instantly. But there is still a critical gap. AI can generate content but it cannot run productions. With Imagine, this is exactly what we solve. We've already supported over 300 productions saving thousands of work days. We started by helping teams manage their productions more efficiently. But what we are really building is the infrastructure behind those productions because we sit at the core of the production process. We are uniquely positioned to enable not just how to manage production but also how content is created. This isn't something that you can shortcut or build with money alone. This comes from years of hands-on work in real production solving problems that only emerge in real productions. And our vision is to become the default operating system for content production worldwide. Already today we help creators execute their productions more efficiently and as the infrastructure of production we enable a future where creators can choose how content is made, whether through traditional filming, AI-assisted production, or fully generated content, all while maintaining full narrative control. Thank you very much.
Hi, I'm Ardi, the co-founder and CEO of Solar AI. AI is writing code. You hear it from LinkedIn. You hear it from your co-workers. You hear it from your friends. You hear it from your mother. You hear it from everyone. But who is actually testing it? Who is actually verifying that it works? So people in the industry had a great idea. We have Claude. Why not let Claude review its own code? Because agents never ever justify themselves, right? What happened? Huge disasters. You all probably heard about what happened at AWS. Millions, even billions maybe, of dollars lost on an agent writing code and reviewing itself and developers they just let it pass. What does Solar do? We create a behavior ground truth independent of the models used to write the code. We capture real user sessions, real user behavior, millions of them with millions of actions and we map out the business flows of the application. Meaning let's say a hundred users filled out a form. So we'll identify this process and then test it against the real truth, the real user behavior and your real application. This is a sneak peek of Solar. Oh yeah, the GIF is working and you can see how it's really done. It's not part of the code. It's really real user behavior like a real QA would test your application. Solar developed our own proprietary deterministic models. This is not a wrapper, developed from scratch, can be deployed on-prem based on hundreds of terabytes of real user data and we have real margins. We're working with top enterprises from medical, cyber, and fintech and partnering with some of the best companies in the industry like Matrix. This is the team of industry veterans. Thank you.
Almost every company in every industry relies on software and AI just made building software a commodity. What used to be held only by engineers is now led by builders. Anyone could build. Well, that's true for new software. When we look at existing complex production software, they are far from being builder-led. They may have engineering using Claude or Cursor to code faster, but that's not what's going to make them win over the AI revolution. Customers today want control. They want personalization. They want customization. And they want it now. And that's exactly where MYOP comes in. MYOP is a pluggable layer designed for the AI builder era. We sit on top of any existing commercial application and we let builders vibe their own front end by using vibe coding tools while keeping the system all secured. We connect builder code into internal data, business logic, and back end. That means product managers, designers can build alongside engineers. It means that customers can customize their own UI and UX. It means that vendors and resellers can build their own front end and eventually it means that autonomous agents will generate their own UI in real time all connected back to real software in production. Our customers are already adopting it. This customer transformed 100% of their front end to be owned by product managers. Last November, their marketing team generated a full campaign and another customer outsourced their entire building to outsource builders. This is not theoretical. It's already working in production at scale with a bunch of customers. We're already live and ready to scale to become the ultimate layer that sits between existing software and any builder. Thank you.
Hi everyone. How come a pair of $80 sneakers has a 3D digital experience and a $1 million property doesn't? Real estate, the largest asset market in the world, is still built on static 2D. Hi, my name is Schlomi Hibi. I'm the CEO and co-founder of Realview. We are building the infrastructure for real estate companies to turn buildings into connected, interactive 3D assets. Now, I know some of you might think, 3D real estate isn't new. You're totally right. But it wasn't affordable and scalable. Now, it is. Our platform enables you to take any static real estate and turn it into an immersive, data-rich 3D digital twin fast, affordable, and at scale. Just imagine exploring any property, residential or commercial, new development or existing, in interactive 3D almost like you are there in real life before even stepping inside. We are creating a new way for companies to showcase real estate and for customers to experience it. We are fully self-funded and in just four months since last December, we have generated half a million dollars in revenue and we are scaling fast. The future of real estate is digital-first where every property will have a living 3D digital twin and we are building that future. Thank you very much.
So, let's talk about productivity. We bought the software. We hired the consultants. We did the workshops. Yet, knowledge workers still spend a majority of their time searching, summarizing, context switching. GenAI has cracked open the opportunity to collapse entire workflows into single prompts, turn meetings into actions, and give every single employee the leverage of an entire team. But the gap between AI hype and enterprise-ready execution is enormous. Welcome these companies building the connective tissue between AI and real business.
Hey everyone, I'm Elon Edstein, CEO and co-founder of Go Perfect. Go Perfect. Our mission is to build the first non-human recruiter. 80% of a recruiter's time is basically wasted. They're spending time over LinkedIn searching manually, going one by one over the candidates they are looking for, trying to connect the patterns about who is relevant, the company, the fund raise, whatever the data shows, and using their human brain to connect those dots. Or they go over Indeed for job posting and again trying to find hopefully someone that will submit their position. Or they can always do manual entry of data into their ATS, their applicant tracking system. And there is always the fun part, the resume screening, which is 400 people apply and you need to find the needle in a haystack and find the relevant three. And there's the new trend, the fun part, fraud detection. People like to do GPT for their resume and to look for their next opportunity. One prompt, the entire pipeline in less than 10 minutes. This is work that used to take around days if not weeks depending on the complexity and the sophistication of the position. And what we actually done beside the product itself is to have the ability to look after 20 billion records in less than 30 seconds with LLM results. That's the holy grail of our proprietary technology and what makes us so good and so accurate. 55% acceptance rate. That's a metric we're super proud of. That's what drives the entire usage in Perfect and of course it's compounding, every hire trains the model, learns your hiring DNA and makes the product sticky. Thank you for your time. Enjoy the day.
Hi everyone. My name is Ben. I'm the CEO and co-founder of ISO. ISO stands for AI Search Optimization. So, today, as you probably experienced, nobody's using Google anymore. Everybody is using ChatGPT, Gemini, Claude for the devs to search and find things. So, today, nobody goes on Google to book their next holiday trip or to find a gift for their loved one. They just go on GPT, which has a lot of information about them already, and find the answer to their questions. We come in and help brands such as you know all across the spectrum from shampoo companies to real estate, hotel businesses etc. to be mentioned in ChatGPT and other AI agents. Our edge, the way we do things a little bit differently is that we collect millions and millions of real AI-human conversations. And we then use this fascinating object, this fascinating new marketing object, to make automated recommendations to brands. We've been operating over a year, 12 months, and we've done about $100,000 in revenue. We have like 300 active users on the app and about 10 enterprise clients. And those include companies like Uber, Intercontinental Hotel Group, and leading media agencies. This is my second startup. I've done a successful exit before in the data and real estate space. And my co-founder also has experience managing data and applications at scale. Thank you.
Great. Imagine you are a bank. You have just deployed multiple AI agents to handle customer engagement processes. Initially, everything looks great. You have multiple agents. They are helping your customers with onboarding, with customer service, and your agents are conducting tens of thousands of interactions every day. But reality is complex and is ever-changing. You have new data, models are evolving, and your business directives change over time. Without ongoing management, your AI agents are going to start to drift. They're going to start making mistakes. Some of them will go off the rails completely. Someone must manage them over time. Someone must monitor them and give them feedback in production. Someone must tell them about new products and about new policies in your organization. The question is who is it going to be? At Avon AI, we treat AI agents like a new type of employees in the organization. And we believe that in complex cases those new employees must be managed and responsibility lies with business teams and operations teams and not engineering. Using our platform, business teams can gain full visibility and control over the life cycle of AI agents in production. Monitor them, find potential problems, find potential anomalies, fixing those problems and anomalies, and continuously test your agents to make sure they are still aligned with your business directives over time. We allow companies to tell agents how they should behave in production and actually make sure they do so. And no matter who built the agent, we are focusing our attention on the toughest cases, regulated companies like banks, insurance companies, health organizations in which even a slight mistake can be very costly. We are deployed on-prem and we are allowing our customers a new neutral control layer that is independent of the agent builders. We are deployed in around 20 companies and we are deploying more and more each month. My co-founder and I have built agents before. Now we are building the crucial control layer that every company must have. Thank you very much.
Hi, I'm Davidida, founder of Ilu, a platform of AI teams that build themselves for non-technical users. About a million people use Claude Code and roughly another million use agent builders, including co-work and vibe coding tools. And we see it everywhere. But when zooming out, those two million users are builders even if they don't write code, they have some technical orientation and they represent only 2% of knowledge workers. So what do the other 98% do? They face two poor options. Either buy a solution that never precisely fits their needs or hire expensive developers. Ilu changes this reality. Our platform builds AI teams autonomously. Go-to-market teams and operation teams use it very differently than how builders use Claude. They focus on the business goals. Ilu learns their context and KPIs, shadows their workflows and launches AI teams that execute on those goals and the AI workforce also course-corrects itself based on performance. You see, revenue and operation teams don't care about building agents. They care about hitting their KPIs. A sales rep doesn't want to fetch an API and terminal belongs to the airport, not the technical environment. So, we abstract the entire technical complexity and focus on ROI so that our customers feel comfortable adopting AI teams. Their gain, growing the business without increasing headcount and joining the AI loop without being consumed by complexity. Over 100 teams use Ilu and more than 500 unique agents have been deployed. We are repeat founders who previously led R&D, sales, and marketing teams and we have built a complex solution to make AI adoption radically simple. Thank you.
Last week, one of my team members came to me and said, 'Jonathan, you don't even understand what happened.' I told him, 'Okay, talk to me. Keep calm. What happened?' And then he said, 'The CEO of our neighbor company came here and said, Hi guys, I want to scan Gyro's QR code.' And we let him scan his QR code. And after 2 minutes, he found $6,000 waiting in his inbox. And then he asked, he was shocked and said, 'What? Money that I didn't even know that airline companies owed me.' And we said, 'Yeah, that's exactly what we're doing.' And then he said, 'Listen guys, can I connect you to my company because we are flying a lot.' I told him, 'Yeah, yeah, no problem. That's exactly what we are doing. Individuals and companies.' The CEO was shocked and then he understood that last year $50 billion owed by airline companies was unclaimed. And people said, okay, that's a big, big amount of number, what's happening over there? 80% of people didn't even know they have money in their inbox. They didn't even know that companies owed that to them. In nine days, Gyro made $1 million in claims with our platform. $1 million in claims in 9 days. Thank you very much.
Mental health is broken. Everyone here knows it because you know someone who is struggling. Teenagers, young parents, elderly people. One out of eight everywhere in the world. 1 million clinicians are missing. Long wait lists. Therapy is expensive. Not everyone wants to do therapy on Zoom. I know that because I was one of those clinicians. So people use ChatGPT. This is bad and dangerous for mental health. Kai is changing that. We supported over 200,000 people all over the world so far. We partnered with the APA and we published clinical studies in the best journals in the world. This is actually working. Just a couple of weeks ago, we received the APA's gold badge for ethical, safe conversational AI. The only one in the world to receive that quality badge. This is one of our research papers. We work with over 50,000 teenagers all over the world. And the good news is that they are getting better by chatting with Kai. Kai is a SaaS platform. We don't replace clinicians. We empower them with a co-pilot. Kai works on any messaging platform or inside any app. And the clinicians have their own clinic management platform which they can use. Kai is safe 24/7, human safety...
People can use it without worries. We deployed Kai not only in the US and Canada, but also in Russian and Ukrainian when the war in Ukraine started, supporting hundreds of families. Since the 7th of October, we've been working in Israel in Hebrew, partnering with thousands of soldiers, students, and employees. I can give you two examples: a surgeon texting Kai before going into surgery because they were afraid, or a young mom that Kai saved a few weeks ago. Kai raised only $8 million so far. We're a strong team of clinicians and technology experts, and I invite you all to join us on this very important journey. Thank you.
Hi everyone. I'm Alan Kr, the CEO and co-founder of Navigate AI. There are approximately 65 million people aged 65 and above in the US, and shockingly, 11,000 more people turn 65 every day. Yet nearly 50 million people do not understand their Medicare health benefits. The system is complex, difficult to navigate, and problematic to use. The result is $350 billion annually going unclaimed and an additional trillion dollars of out-of-pocket spend on health and longevity—an average of $18,000 per older adult. Welcome to anticipatory healthcare. Navigate sees what others don't. We help people like Meredith who fell and are in a hospital, unsure what to do next. We help her understand her benefits, identify doctors, transportation, physical therapists, and more of what she's entitled to, how much it will cost out of pocket, and how to claim those benefits. We also identify products and services she may need that aren't covered and where to find the best prices. At Navigate AI, we are building the information superhighway, connecting everything and becoming a central part of healthcare for older adults. Thank you.
Hi, I'm Mona Cohen. I'm a four-time founder. I'm Swedish, Israeli, and Persian. I'm a former professional paintball player and a mother. I've been a headhunter for 15 years, and one thing I know is talent.
Hi, my name is Johanna. I'm Swedish, half Vietnamese, half Korean, and I bring over 20 years of commercial-scale brand building and go-to-market execution. I'm also a mother and a former soccer player.
I actually hired Johanna to work for the world's most famous tennis player 10 years ago. I spotted a super talent when I see one. After a few months, she got the job as a global marketing manager. Headhunting is still running on a 1950s playbook. AI made it faster, flooded with fake candidates. Now you have 250 to 2,000 applications per role, 42 days to hire. Candidate fraud is up 1,300%. Gartner says one in four candidates will be fake by 2028. The pain points CISOs and HR are facing are the same threat, and nobody has solved it until now.
You heard her. That's why we are building Vera. Vera is an operating system, a talent relationship intelligence platform specifically for recruiting. We're taking the art of headhunting to scale: verification, sourcing, vetting, scoring in one system. It's faster, safer, and more profitable with machine precision and you headhunters in the loop. We're creating a new category, the intersection between CISOs and HR in recruitment to protect and make workflows faster, safer, and more accurate. The next $1 trillion company won't sell software; it will sell the work itself. That's our traction, and we signed our first investor yesterday.
How's everyone doing? You guys okay? We're just over halfway through. We have three more groups, so I hope you're keeping the energy up because these guys are great. Sales used to be an art—gut instinct, charm, a rolodex—but now top-performing sales teams look more like data science labs. Every single signal matters: an email that went unopened, a competitor's page your prospect checked out last night, the subtle shift in language that screams budget freeze. These five companies are turning revenue into science with AI that sees what humans miss and moves before the window closes. Please welcome this fourth group.
Hi, my name is Leor, solo founder, bootstrapped, no equity raised. I live the exact problem a growing majority of founders face today. Building has never been easier, but achieving distribution has never been harder, and founders are expected to use the same old playbook in a reality that demands a new one. They need to grow to raise capital, but they need capital to grow—it's a catch-22. In the past, markets evolved to underwrite that risk when capital was the barrier: LLCs, angel investors, VCs, public markets. For each stage, a founder had a way to share the risk with those who could underwrite it. Today, distribution is the bottleneck, but there is no market or way to underwrite that risk. We are building it. Product Lank allows founders to launch distribution pools. Anyone who can match a product with its audience can earn: creators, growth operators, developers who launch agents, agents themselves. They all know something the market doesn't—like angels for distribution. We distributed above $100 grand to creators, 12,000 users onboarded in a single season. All built by a single person and a team of agents, supported by Coinbase and Superfluid with grants. Distribution is turning from a funnel to a market, and Product Lank is the distribution underwriting infrastructure. Thank you.
Hi everyone. The real economy runs on traditional industries that AI won't replace. It runs on outdated software often controlled by quasi-monopolies with tools dating back to the 2010s. We don't see the slide here—I think we have a small technical problem. It's okay. This is exactly why AI agent companies are limited: they add intelligence on top of outdated systems that were never built for it. That's why we started from scratch. Raor builds AI-native ERP from day one, designed for human and agent. The software is not connected to AI; it is built around it. Because Raor is the central operating system, our AI has access to the full business context, making our agent far more powerful than a chatbot or regular integration. Let's take a few examples from what we've achieved since launching only six months ago. For a moving company, Raor turned a WhatsApp lead into a qualified quote in less than six minutes. For an insurance broker, it classified documents, applied proprietary commission rules, detected fraud, and saved $50k per week. We partner with a key player in each industry, design the right solution, then scale it across the entire sector. Our model is simple: setup fees, SaaS subscription, and usage-based AI credits. Others plug AI into the old rack; we build the new operating system of the real economy. Thank you.
There's a famous story about a Ford River Rouge plant where an engine didn't work and Ford's engineers didn't know how to fix it. Ford called upon an external engineer, Charles Diamond, to solve the problem. Charles was a legendary engineer. He came, listened to the generator, quickly understood the problem, marked a big X to indicate where it was, and told Ford engineers how to solve it. A day later, Ford received a huge bill and was furious. He asked for an itemized invoice. He received one with two lines: $1 for a piece of chalk and $9,999 for knowing where to mark the X. That's exactly what we do at Seymour Data. We work on the data layer. We built a context engine enriched with algorithms and trained agents that identify cost, performance, and workflow anomalies, then enforce the fix autonomously with guardrails so that the modern data stack is now as close as possible to fire-and-forget. Our customers love this. Since we launched the product about three quarters ago, we've gotten to almost $1 million of ARR with Fortune 2000 companies and a 4.5 LTV-to-CAC ratio. We provide about 40% cost savings for our customers on their Snowflake environments. You might be thinking this type of solution requires a team of extraordinary engineers. Well, that's exactly who we are. We are a team with about a century of amassed experience in data infrastructure and algorithmic training. So we're the team that knows where to put the X. Thank you.
Hey everybody. I know a client that holds a $2 trillion budget, never turns, loves long-term deals, and yet 98% of companies will never go after them. I'm talking about the US public sector. Where selling is slow, painful, and bureaucratic. In reality, a new B2B company entering this market will spend over $300,000 on consultants, tools, and middlemen before they even know if they can win. It's a locked garden built for incumbents, keeping great companies out. We're on a mission to open this market and enable great companies to access this $2 trillion market by building a B2G revenue engine for B2B companies. Here's the part people miss: procurement data is public. Every bid, every pricing decision—it's all out there, but it's buried under 90,000 disconnected systems and government portals. We unify the data and build a system that learns from every bid we process. In that way, we can walk backwards from demand to supply and identify with high accuracy the companies that can win but don't—not because they lack capability, but because they lack the infrastructure to compete. For those companies, we do a revenue-as-a-service model. We do everything for them, run the entire operation. We don't sell them software. We have only one goal: we win when they win. Let's take for example the Cleanup Group, a company that does pressure washing in Florida, $2 million in annual revenues, never did an RFP in their life. In six months, we almost doubled their revenue. Or Hawk Media, a $30 million marketing agency. In nine months, we did $1.2 million for them in government revenues. We are building the next single outcome-driven layer, redefining the way government companies access government revenue. Julian Beck just said that the next trillion-dollar company will be a tech company disguised as a service. Thank you very much, guys.
Wow. So many pitches, so many B2B companies, but they all start their funnel—the marketing funnel, the pipeline funnel—with a book-a-demo form. Typically, B2B SaaS companies spend 20% of their ARR to drive traffic to the website and digital assets, and only 2% fill it. When they come to the website, the first thing they see is stop: qualification first, SDR qualification, seller qualification. 98% of our buyers do not go through that process anymore. They would like to learn self-service by themselves. By the way, those are real customers, not tire-kickers—your ICP, real intent decision-makers. They are just not ready to meet the sales team. They're just here to learn and explore. Hi, I am Idanelli, and together with Zomri and Rui, we have 20 years of experience building six global go-to-market teams, AEs, SDRs, and we felt the pipeline crisis firsthand quarter over quarter. We are here to fix it and solve it. We are Poello. Poello is an agent-led growth platform that redefines B2B demand capture. We are not another AI SDR. We are not doing outbound automation. We take care of the 98% of buyers that are ignored today. AI agent avatars that run the full buyer exploration, from providing answers to questions and providing GenAI demos to customers—not one-time chatbot interaction, but ongoing conversation until buyers are ready to meet sales or ready to buy. Thanks to Poello, today you can meet all of your buyers without the need to qualify them first. Thank you very much.
So, we've arrived at our penultimate group. For those Israelis, penultimate is a fancy word for second to last. This group meets at the intersection of financial services and commerce. Our financial systems move trillions. However, reconciliation still takes days. The healthcare billing system is a black box of errors. Commerce has become a battlefield of attention, but our attention spans last a couple of seconds at most. From intelligent bookkeeping to claim accuracy, from DeFi infrastructure to next-gen social commerce, these companies are unlocking billions in value. Please welcome these six companies. Thank you.
Hello everyone. Great to be hosted here. I'm Liam, CEO and founder of Hyperflow, which is a data infrastructure company for blockchains. As most of you know, blockchain data is raw data built for security and not for querying at scale. But yet there are more than 50 billion query requests per day, most of them by enterprises and blockchain startups. It's already impossible to query blockchain data as SQL. There is a large gap in historical queries that can take hours and days because blockchains are huge datasets. For example, the Ethereum blockchain includes more than eight terabytes of data. Then there is a kind of loop with the infrastructure provider to determine the exact data you want to index for the enterprise. What we are doing is pre-indexing huge amounts of data—more than 100 billion logs, states, events—and then we connect a GraphQL protocol that enables querying exactly the data the enterprise ordered. The process goes from hours and days to less than seconds in historical complex data. GraphQL helps our clients query data in one API endpoint instead of many, and on many chains. One of the benefits of GraphQL. Here we see some case studies of our first clients that are going to production. The stack is replacing four data sets in one.
Hi, welcome to a new era of accounting. For years, accountants have suffered from talent shortage all over the world. Half a million accountants are missing just in the US and millions globally. The fact is that 94% of accounting firms identify talent shortage as their first barrier to growth. They can't handle the workflow. This is exactly where Verify comes in. At Verify, we don't believe in scale with headcount anymore. We believe in scale with compute and LLM. Verify is an AI-native CPA firm. We handle all the accounting workflow from A to Z, from collecting the raw client data to delivering a valid output. Hi, my name is Guy, and I am the co-founder and CEO of Verify. I come from a family of accountants. Ten years ago, I met my co-founder and the CEO of Verify, Amit, during our engineering studies, and we've been working together ever since. After five years of building AI infrastructure at NVIDIA together, we started Verify. With us in the team: N, our VP R&D, and Katya, our domain expert and CPA lead. Combined, we have more than 50 years of experience. But it's not just about the human team; it's about the AI workforce. We have two main departments: the R&D department that handles the backend, the full-stack product, but most importantly, the accounting department that handles cash, revenue, and audit. We already work with companies that handle billions of dollars, and we're just getting started. Appreciate your time. Thank you very much.
Hi, my name is Aikam Kaufman, and I'm the co-founder and CEO of Safe Books. A company reached out to us after their Claude homemade AI agent wrongly billed and recognized revenue of $100,000. Finance teams require 100% reliable and trustworthy AI to automate their processes. However, you can't get that from the models today because the data is fragmented across systems and hard to link and reconcile. Do-it-yourself AI in corporate finance takes months, breaks within a quarter, and lacks the essential systematic elements of integrity and accuracy of the data. Safe Books AI is the first AI data platform dedicated for corporate finance that fully automates finance operations end-to-end at scale with 100% accuracy, integrity, and completeness, which is a must for finance data. Watch how Safe Books deploys itself for a customer. It does not only capture your data; it understands it—transactions, supporting documents, policies, and more. Start building your AI in finance with Safe Books. Safe Books today is powering finance operations in dozens of public companies. Thank you very much.
Hello and thank you for having us. I'm David from Bluepine. We are helping self-insured employers reduce their second biggest expense. Let's start with a personal story. This is Ido, my nephew. He was born in California, US. It was a very happy event in our family. But then my sister got the bill from the hospital—six figures. And then it became a tragedy. We started to deep dive into that and help her. We understood that 80% of medical bills in the United States contain financial errors, and this is a very big problem for all employers in the US. The time for this problem is big and constantly growing. We are talking about half a billion every year going just to fraud, waste, and abuse. 91% of companies in the US are self-insured employers. So we are talking about the second biggest expense of every organization. The rise in claim cost is more than 75%, the error rate is very high, and all of them are operating under the regulation of ERISA and have fiduciary responsibility for the financial health of the plan. Every plan is different and every employee is different, even if you are working with the same carriers—they have their own plans and conditions. Until today, we are serving Fortune 100 and Fortune 500 clients who are able to save millions of dollars. We are backed by leading investors from the Israeli market and from the US. Some of the case studies we were able to resolve for our clients: we help them save millions of dollars, and we are doing that on a weekly basis. Pricing model, and this is it. Thank you very much, guys. Appreciate your time.
Hello everyone. How are you? Anyone is asking how are you? Everybody's about themselves. I wonder how you are doing. Great to be here. My name is Rory. I'm the founder and CEO of Zenaris. Together, we are a team of four with combined 30 years of experience in M&A, investment banking, corporate development, and private equity. I've been fortunate enough in my career to have gone through several M&A processes. As you can see, two of them were successful, and some of them—you can see also the times we've been working on them—some of them unfortunately died. Let's talk a bit about deal reality. One of every three deals dies before signing. That's at least $50,000 in sunk cost of due diligence. And we have people in our team that have gone through $1 million due diligence processes and so many work hours and labor force being wasted and sunk per deal team. What we've built: in the past year, we've been working with all the major players that move the M&A market. Focusing here for you now is the private equity firm. Once we've been working with them, we've discovered something amazing that no one thought to look there ever. They have a lot of DD files—dead due diligence, we call it. Essentially, for every partner on his desktop, you can see a list of folders that contains valuable information that no LLM can access. So we said, okay, let's take it and use it. Combined with the information they provide us about their strategy and the dead diligence files, we created an engine that allows us to create all sorts of values. We started with the target in an acquisition process so we can provide them with buyer-grade due diligence reports for their next potential M&A deal. We can go back to the buyers and provide them acquisition-ready signals for targets. We create a data exchange. We collect a lot of their diligence files—files no one has ever thought about utilizing or monetizing. We make them anonymized, restructure them, and provide access to an additional network, for example, an advisor network, to expand and find more deals and continue. Just a short illustration to give you an image of what was actually discovered. As you can imagine, some of these firms haven't upgraded their infrastructure for a while. Oh, that's not me. That's not me. That's not me. Definitely not me. Thank you very much. I wanted you to see the team, but thank you. Sorry.
Hi everyone, I'm Shai, co-founder of Shopix. Did you know that 99% of e-commerce traffic doesn't convert? That's a huge loss of potential revenue. Every brand creates endless visual content for all their marketing channels like Google, Meta, TikTok, and others. But after the users click the link, they all land on the same generic website. Traditional e-commerce kills the magic with too many clicks and long checkout processes. Meet Shopix, a real-time commerce platform that turns every visual content into a dynamic, personalized storefront, enabling brands to optimize revenue across all marketing channels. The results: never seen before personalization. Brands using Shopix see three times higher conversion rate and 30% increase in average order value. We work with leading global brands like Victoria Beckham, Foot Locker, Daniel Wellington, and many others. Let's see how it works. When users click the link, instead of landing on traditional e-commerce, our algorithm analyzes the video, finds the featured products, and generates a personalized instance store with more recommended products and more social content ready for checkout in just one click. Like e-commerce on the fly, tailored for every customer. Shopix is an operating system layer between brands and every traffic source—paid, organic, influencers, SMS, emails. Our vision is simple: there will be no websites in the future. We are building the future of e-commerce because every user will have his own store.
That's it. This is our last group. Very exciting. I can't believe we made it. Don't tell anyone, but this is actually one of my favorites. We stand at an inflection point where biology meets computation, where surgical precision meets holographic visualization, and where motion data becomes a diagnostic tool more powerful than an MRI. This unique group is where science fiction becomes clinical reality. Please welcome our last four companies.
Hi, I'm Jeff. Despite the incredible advances in AI, it still struggles to deliver breakthroughs at the atomic scale, like predicting how an antibody will bind to a protein in your body or how modifying a molecular chain can make a plastic biodegradable. That's largely why breakthroughs still occur in brick-and-mortar chemistry labs through trial and costly, time-consuming experiments. Why does AI fall short? Because today's AI learns primarily through language and probability, relying heavily on what's familiar and came before it. Whereas a truly new molecular discovery is exactly the opposite—it's so novel, so exquisite, language can't fully describe it yet, and there's too little data to distinguish signal from noise. At Free Curve, we're doing something fundamentally different. We're building a physics-native AI world model at the atomic scale. We've developed a molecular simulation platform that integrates quantum mechanics and AI trained directly on first-principles physics—the actual forces that govern how atoms behave and molecules are structured. This enables, for the first time, deterministic models that truly predict real-world outcomes. It's an atomic simulation layer that powers how drugs, materials, and clean energy are designed. And most importantly, it accelerates the transition from brick-and-mortar chemistry to a virtual one. I'm fortunate to have incredible co-founders including Nobel Laureate Michael Levitt and Boris Fine. Free Curve is backed by Hyundai Motor Group, and we're going to Stardex, the Stanford Accelerator, this summer. Our first customers are in biotech and clean energy applications. Thank you, Dale, for a really inspiring day today. I'm glad to be here.
Hi everyone. We used to ride on horses. Then came cars, and everything changed. Materials are everywhere. We're conducting electricity with them, conducting heat, and so on. But they are old—they are centuries old. Hi, my name is Don, and I'm a serial entrepreneur. I actually have one company that runs here. We were 3% up, so I was happy. Materials are always limited by manufacturing processes. With Enzupai, we created a manufacturing process as a platform, but it's a mass production platform. We're actually unveiling a $1.6 trillion market. We're always saying if matter becomes programmable, we will redesign reality, and it will be fun—because who doesn't want to redesign reality? It's always the physical function of material. It's hard. If you want to create a new material, it will be costly, really time-consuming, and you will need to prototype for zillions of times, even with AI. This is what we do. We're not selling materials; we're actually selling advantages. And this is why it's so easy for us to sell to customers—because we are coming with an unfair advantage. This is something that transfers heat much better than any material out there. Our customer will get 80% lower capex. It will change the energy industry, and that's only one material we are working with. Thank you.
Hi everyone, my name is Adina Natan, founder and CEO of Motion Analytics, where we turn motion into identity. With me on the team are Professor Alzier Reamer, biomechanics and movement researchers for the past 20 years; Moran God, our CTO, ex-founder of Player Maker; and Don Bardin, ex-Waze, who advises us. Together with us, there is a very strong multidisciplinary R&D team. What we do is build the large biomechanical foundation model. Our product, Motion ID, identifies people by their movement, and it's now in the stage of two paid pilots after we already raised funds pre-seed. Now we are starting our seed round. We have today millions of cameras including thermal, infrared, CCTV, on ground, on air. But the problem is that when face recognition is required the most, it fails because people wear masks, darkness, rain, viewing, shooting angles, etc. We are indifferent to all these conditions because of our concept of biomechanical signatures that relies on biomechanics. What we do is firstly convert—it takes us like three to five seconds—standard video, five walking steps from any standard video source, air, ground, CCTV, etc. And then we reuse this biomechanical signature to re-identify this particular individual in different places. We are in two paid pilots, as I said, and what we do is actually building atoms of movement, modeling them into physical AI, and that's how it works. Thank you very much.
15 million people suffer stroke every year. For them, every minute counts. These two minutes could be the difference between walking out of the hospital or never walking again. On the left, you can see a patient with a brain bleeding. On the right, same patient three hours later, now in coma. The head of neurosurgery department at Sheba, our advisor, showed me these similar images and said, 'If only we'd seen it sooner.' 80 minutes—that's how long it can take to get a head CT scan in the ICU. Then six to 12 hours until the next scan. In between, the brain goes completely dark. During this time, every complication costs thousands to hospitals—until now. Sorry, I'm Shil Kashi, CEO and founder of Riven Medical. I hold degrees across neuroscience, computer science, engineering, and AI. And our team brings decades of experience: 40 years in ultrasound sensors, 25 years in cutting-edge imaging algorithms, and also the former CTO of Insight, pioneers of ultrasound brain systems. Riven is developing a portable and safe brain scanner based on ultrasound technology that generates 3D high-resolution images comparable to CT scans. It detects stroke and traumatic brain injuries at the moment they happen. But what excites neurosurgeons the most? It's a helmet. It could stay on, provide continuous monitoring, and alert the physician if something happens. In the future, it could extend to diseases like Alzheimer's and Parkinson's as well. We raised $2.5 million. We're entering a $21 billion initial market. And recently, in a key milestone, we captured high-quality signal from a real human skull. And with the full system, we will see the full brain. The head of neurosurgery said, 'If only we'd seen it sooner.' We are building the sooner. Thank you.
That's it. We went through 35 companies. It's really hard to be up here, and I think the companies did a fantastic job. So, please let's give them another round of applause. I also want to thank the audience. You guys have been awesome. Please stay in your seats. The judges are going to go to the green room right now and they're going to deliberate. So please go ahead. We're waiting for your answers. And while we do that, I'd like to invite Alex Bouaziz, the CEO and co-founder of Deel.
Hi everyone. How is everyone doing today? All right. A little noise. Not a lot of noise. I'm just going to say so far all the other cities were a lot louder. So, what did you think? Well, I arrived a little late because I had to actually work. No, but no, I thought the pitches were great. I think it's been amazing to see all the different events. And it's amazing to see how Israeli tech stacks up—we've done five countries so far, so six countries so far. So, it's very impressive.
Philip talked about it briefly, but you presented at YC. You were at a similar situation. Do you remember those days? Do you recall how it was?
Yeah. Well, for context, I'm the CEO of Deel. We're hosting this amazing competition. We are, for those who don't use us just yet, a global payroll platform. We help companies scale globally. And yes, I was in their shoes. I will say it was a little scarier. This feels a bit homey. It's very cozy. It's very small. Y Combinator Demo Day is something that takes quite a toll on you because there's a lot of people and it's a machine. It's not 35 companies; it's 200 companies. So, it's a lot scarier. The companies here thought they had it hard, but they might not have what to compare to.
Well, to be fair, they prepare us a lot, right? They spend two, three weeks—apart from the fact that the program is three months—they spend two, three weeks really getting us ready for it. So, you know, there is a delta there.
Did you, when you were pitching back then, did you ever imagine Deel would be where it is today? No, of course not. You know, I still can't believe where we are. And I still think the fun part is—I think one of the things we've done well and we'll always do is we are a big company but a small company at the same time. You know, the way we think about things is we just want to build. We just want to have great customers and happy customers. So, I think telling you that I had any idea what I was doing back then is probably a lie. And probably even telling you I have any idea what I'm doing today is probably a lie.
Talk about fundraising a bit. You're quite experienced in fundraising. You might not say so, but you've raised a few hundreds of millions. What would you say are kind of the two most important lessons you would take away from what you've experienced?
Cool. All right. So, we're going to go all over the place, I see. So, we're going fundraising. Okay. Well, first of all, you know, I think fundraising is one of the toughest parts of the job. I think for every entrepreneur in the room, if you've ever raised money, it is, at least in my view, the worst part of the job. You know, I'm an engineer. I like to build. I like to be—we're a fully remote company, so I like to be in my home office and just code up stuff or design stuff or build stuff or talk to customers. Talking to investors is never the fun part of the job, but it's a necessary part of the job. I do think, you know, we've done a pretty good job. We've raised over a billion dollars in capital. So, you know, we've kind of learned over the years on how to do different things. I do think every single stage matters a lot. I think I've said that multiple times, but when companies are very early on, they haven't raised a lot of money. My view is always, you know, as soon as you can get some traction, take as much money as you can so you can go and build a great product until you get to the right product-market fit. Be super efficient and know how you spend money because the money is probably going to get you to—I would even say run your company. Like you don't know if you're ever going to raise money again. And you know what? If you don't, it's actually maybe not a bad idea either. And then eventually when you grow up and when you become a larger business, my view—which has really worked well for me, so if it's useful for you guys—is always consider every single round of equity like you're selling a piece of your company more than you needing money. And if you combine the fact that you're thinking, okay, like I need to run my company super capital efficient, I'm never going to raise money again unless I have to, with well, if you want to buy equity in my company, you're going to have to show me that you're the right person for us. Then you just flip your mindset in terms of how you fundraise and you approach every conversation very differently. So every single time we raised a round at Deel, my thinking was: is it the right people? Is it the right partners? And do I want to sell that part of equity to them? And it worked out all right.
I think that's good advice. It's not about raising; it's about not raising potentially, or what you do with it. Looking back—
It depends on your industry, right? If you're an AI business, you probably should raise money. But if you're a B2B SaaS that isn't going to get completely destroyed, then you know, yeah.
We'll talk about that too. But looking back, any kind of big mistakes fundraising?
I mean, I think every entrepreneur makes a lot of mistakes. I don't like to think that way because I think every single mistake we made is what got us here, right? Like you could always go, oh, you know, when we arrived to our Series A, we had raised a seed of $4 million. We spent, I think, $200,000 or $350,000 in total. Could I have not raised? Maybe when we raised our B three months later, preempted—we hadn't even touched the money of our Series A. Could I have not raised? Yes, sure. But like, you know, in French you say with 'ifs' you can remake the world. That's probably the way to think about it. I think when it comes to fundraising, the most important part is not to over—some of my investors would not agree with this because I made their life really hard—but not overplay on the valuation side, but really understand who do you have in front of you? Do you really want to work with them? And are they going to actually be—it's kind of like a marriage, right? Like your investors, at least the investors that invest at that stage, usually know that it's going to take you five to 10 years to get there. And I've been married for four. I haven't even got into that with my own wife. So.
You touched on this a second ago, but with AI, do founders need more or less capital, and kind of how is that changing fundraising?
I think that's a pretty loaded question. I think there's a lot of different pieces to that. I think depending on your skill set, one of the things that has become very obvious to me—and I would say the last month and a half has been super fun but actually super intense in terms of what we've built. Maybe you guys haven't seen, but we actually released a standalone AI product yesterday called the KAG, and it's doing insane stuff. It's literally redirecting and fundamentally changing how we operate as a business. That product we built in a month and a half has automated over 100,000 hours inside of Deel. And one of the things I've realized is just the cost of building software has gone down. Right, like whenever we were building—Ben Horowitz is one of our investors, very close to us because we're a big portfolio company of Andreessen. I spend a lot of time with him, and he was always very adamant around like you need to have the best product in the world, right? That's the best way to build a great company—your product needs to be amazing. And I've always been very aligned with this. And I had a conversation with him recently where I said I agree with that, but now actually my mind has changed a little bit because the cost of building software has decreased so much, right? Because you can go so much faster than you could, that being able to go much more horizontal faster is something you should consider. And then going back to your specific question, I think generally AI has changed the game quite a bit in terms of how you should build products. And if you can build a great product that's maybe simple, like a ChatGPT wrapper, then I wouldn't raise too much capital. I would try to get to cash efficiency and pray to the gods that OpenAI and Anthropic don't do the same. If you have fundamental understanding of the world in a way that's very different than your average ChatGPT wrapper, then yes, if you want to be able to compete, that would raise a lot of capital.
I guess from your perspective, I mean, you guys are profitable, but recently raised $300 million at a $17 billion valuation. Kind of what's the rationale of raising more money?
There's a few. The first one is I love Mickey. So if you guys know who led the round, it's a fund called Ribbit.
One of the best investors, Nick and Mickey, that I've ever met. The fun stories I've tried to make... I literally, you know what, I've never tried to make anyone invest in my company. It's the only people I've ever tried to make invest in my company since our Series A. I've been pitching Nick for six years because I knew how not only fun but how much deepness and understanding they had in what the world is going to look like tomorrow. And this is the type of partners that I really want to work with. So the first obvious one is I really wanted Mickey on the cap. Actually, you know, we could have probably raised even at a higher valuation if we wanted to, which goes back to my first point. But you know, Ribbit never invests in growth, it's just not what they do. So getting them to the table was very important for me, and even if that meant taking a pay cut in the valuation side. I think the second part is, if you followed our journey, we've raised a lot of capital until 2021. The last round we had raised, I don't remember the exact dates, was 50 million at 12 in 2022. It wasn't per se like a big round, but you know, I think it was important for us to kind of remind the market of the unit economics and the business that we had built. Before, you know, we're over 1.5 billion in annual recurring revenue, been profitable now for three plus years. You know, I do think there is some value into showing the market who we are and what we do from time to time, and press and funding never hurts.
And just being out there. But I think another angle, and you tell me, is I think you announced a couple days ago the acquisition of Sastrify, and I think you've done 14 acquisitions already. You know, how does the M&A strategy play in here, and how do you see that going forward?
I will say the guys at Y Combinator have better lighting. So, they had it better at demo day. Actually, M&A is a very interesting topic for a lot of companies here because I actually think as you're going to build vertical AI software, because a lot of people are going to do this here by design and riding that wave, I do think there's going to be a lot of acquisitions just because of the expertise that you're all going to build into the vertical that you're going to have as companies are going to want to go and tackle them really hard. We've had a very unique approach to M&A at Deel, and the main reason is pretty quickly, and again I'm not sure it's super relevant to most of the audience here, but pretty quickly we realized that I spent five years trying to deeply, deeply understand payroll and HR. It was going to be really hard for me to spend as much time understanding immigration, all the different... we've done 14 acquisitions, right? So all of these different topics and bringing people to the table that has spent as much time as I had doing payroll doing those was just a way to kind of shorten the gap in terms of how much understanding we have about this. And actually funnily enough, AI has done... I think AI is going to be one of the biggest game changers actually in M&A now that you can migrate customers and codebase so much faster. Like we had built a very unique playbook in terms of how do we migrate those products because the last thing you want is like we've done 14 acquisitions, right? Like kind of like a Frankenstein of different products kind of put together. We always wanted to have something super clean in the back end and one solution. And we've always had that playbook that worked out really well for us. And if you know how to do this the right way, I think you can really leverage acquisitions the way we have. And if you think about Deel today, I think there is easily like seven to eight business lines that are doing 100 million plus in revenue, right? And a lot of that comes from the talent that we've brought from external and from outside.
Look, I think it's also relevant for the companies that presented here, but you know, some of them, if not maybe many of them, will be acquired. Kind of what's your advice to those guys who understand that's probably their path at some point?
So one of... it's funny because we've done a few and we've failed some acquisitions. So I have some learnings from that. It's always a very fun struggle because at the same time you want to empower entrepreneurs to be able to build the biggest company they can, and at the same time some people understand that, you know, for example, being part of Deel gets you so much more distribution and you can get in front of a lot more people a lot faster. So it's always this fun dynamics of like when I'm talking to an entrepreneur, like I want them to follow their dream and try super hard, but at the same time like I kind of see where they're going to struggle eventually and I'm like you're better off coming into the rocket ship with us. So the first thing is I've understood is 99% of the entrepreneurs I talk to have no idea how to do math. Like when you tell them, hey, like run your math, like if we were to acquire you at this or if you were to sell at three times this having raised like a two one run or two runs more, how much money actually comes into your pocket at the end of the deal. Most of them actually don't go all the way there and don't really think through dilution as much as they should when they have many offers on the table. The second part is what I've tried to do, and actually learned that from Philippe, is I think the best M&As are done when, and some people have different opinions, but when both sides kind of look back at the deal three, two, five, ten years later and hey, like that was the best outcome for both companies, and that's what we try to get to whenever we're working for an M&A. I think the last piece which has always been super crucial with us is like how does that fall into our product strategy. And you know, for example, right now like we've released an ATS, right? Like it's like an applicant tracking system, it's doing really well, AI first. And like I've had 20 companies in the AI bubble kind of coming up with the exact same idea, the exact same product kind of coming and talking to us. I do think a lot of people are tackling the exact same problem. So I do think right now whoever is going to be smartest about M&A is probably going to have the best outcome out of everyone.
Let's kind of double click on AI a bit. Just a fun question. If you were starting Deel today in the world that we're in, what would you do differently?
Well, the easy answer for me is I'm actually doing this right now. So, the fun part about Deel is, depends who you ask. If you ask my employees and my teammates, I am the definition and the embodiment of chaos, right? I come in and I disrupt a lot of the work that they do, which is always a pain for them, but you know, usually it's for good stuff. Most of the time it's for good stuff. So I would say that actually Deel is being rebuilt from within as if we were an AI first company. And I think the last few months have really showed me the difference. Obviously I'm very biased, but the difference between a founder company versus an executive company, an external executive company, the pace at which today I'm able to kind of like take a step in and we've done some really big changes internally from, you know, moving from an IC to manager ratio of like 1 to 15, like we're trying out teams of one people. We've built some crazy internal products so good that we actually decided to sell it outside of the Deel ecosystem. So like we've really been able to redefine how the company is being built at a very foundational level. And I think a lot of that has been just transparently like me and my co-founder being able to dive really deep into building stuff ourselves. And one of the cool things is over the last few years I was always told, Alex, the company needs to scale, and maybe I'll regret what I'm saying, but Alex, the company needs to scale, you're a bottleneck on X and Y and Z, like you need to scale yourself. And I think like actually this whole wave has really empowered most entrepreneurs no matter the scale to really kind of come back into the weeds of the company and really changed how like some of the fluff that happens as you grow the business really happens. And I'm having probably the most fun I've had in like the last few years.
One of the senior managers at Deel in the London pitch mentioned that you give them all a very hard time if they're not using enough AI. And so it's...
No, I have a different approach to this. The thing is it's a lot easier to get a team of 20 people to lean in really hard. It's a lot harder to get a team of 7,000 people to lean very hard, right? So, and my view is like I think there has been, and I'm sure some of you have felt it, like a significant shift in the last two, three months in terms of technology that really happened in terms of what's available to us, right? So my point was not... so we've kind of done something, I actually think we've done a pretty decent playbook where we've gone and we've said okay now every single person, which not every company does, right? Like every single person now has access to cloud and has like X amount of credits that they can spend on a monthly basis and if you need more credits come and ask and we'll get you more. And you know, getting a 7,000 people organization in like a couple weeks to switch from how they operate into that is super complicated, right? But being able to do this and pushing it, it kind of has to be top down. But on the other side like when they do get it, you just get so much more goods out of your team in terms of how much they can ship, how much they can build. And you know, we kind of wanted an approach where everybody's on an even playing field, right? Like I think the best people in the world today are going to be the ones that are the most curious. And the most curious people are not per se like the managers at companies, right? It's often like the IC that's seeing the world in a different way. And it was important for me to kind of like even out the playing field because I want everybody to have a shot at Deel in the future of the company and how we're building. And now that we've done this for a month and a half and we kind of built a lot of the tools around it and because I've been so pushy, you don't really have an excuse anymore, right? So you kind of need to really lean in in terms of how you build. And I think there is no matter which department you're looking at the company, there is no doubt that how we operate has completely changed. And you know, I think it's important to give people a shot to really be part of that. And that's, you know, I could have totally taken a hundred people in the company and just like narrow focus on them, but we really wanted the whole organization to follow through.
In this world when, you know, three people can kind of come together and establish a company with very little resources, what is the moat kind of for a company like Deel?
Well, for us, I want to see three people connect into the Brazilian pension ecosystem, or I want them to establish 300 plus entities around the world and have some very deep understanding of like payroll and finance and HR. So I think on that front we are pretty lucky where there's just a lot of like genuine infrastructure that's very hard to replicate. Plus, you know, I think we're still, although we're working and we're leaning in very hard, there's still some layers where payroll has to be super accurate. So you wouldn't just yet completely leave it up to AI. I think the second part is, it's a much, much deeper conversation, but you know, a couple of years back we kind of had a view of like what does a system of record look like today, right? Like this big conversation around like what a system of record is, like a Salesforce, like a Deel, right? And how do they... you know, a lot of people think of system of records as like very moaty because when you are a company and you're using a product, well, you know, you don't want to change payroll provider every day, you don't want to change HR provider every day, you don't want to have to migrate employee data from seven years ago and stuff like that, right? And one of the things we did at Deel pretty early on, which actually ends up being really useful for us, is we built API first, right? Because we built a business that is very, I like to say, unbundled and bundled at the same time, meaning I can sell you payroll in Australia or an employee in that country or I can sell you the full stack of HR. We basically built our products so that they fit within the stack of our customers, right? And it was super important for us to not build a closed ecosystem where people are forced into products, but more something that they can actually decide, hey, I want X, I want A, I want B, I want C, right, in a couple minutes. And in that whole process we kind of built a product that is API first. And I actually think the world is going to be... I don't know that, I think the world is going towards a motion where companies are going to start quote unquote vibe coding or building the things that they want to own and they want access to API for the things that they don't want to own. And I think HR is going to be in prime position for that. And we want to be able to say, okay, you want to own performance review, no problem. Here's the APIs to do learning or to do payroll.
You're running out of questions already.
No, I have a lot more just so you guys know. And we're... and you know...
I have been told I answer a little fast. So...
Yeah, it's okay. It's okay. I'm prepared.
You guys have 7,000 people. And I don't know if everyone knows this, but Deel is like a fully remote company, like...
Yeah. 7,000 people, 120 countries.
No, like no offices. I mean like how does it work for people that don't know you guys?
So we started like this. So I've never worked in an office. I spent my youth taking the subway 45 minutes way in and 45 minutes way out to go to school. I'm kind of like the engineer that likes to roll out of bed and build. And when we started building Deel, combination of my laziness to go to work with the fact that we couldn't afford engineers in the US or in Israel made it that we hired people from... I think every single company in Israel actually used to hire people in Ukraine or in other places like that. So we're very aligned with that. We just kept that culture of building, hiring globally, and we kept on doing like we never really thought, hey, we need one place, one central location where everybody needs to go. Now, we do give WeWork memberships to people. So if they want to go to... it's very funny because if you go to Paris or if you go to Madrid or actually sometimes even Israel, like you'd go on Slack and you'd see like, oh, people in Deel London say I'm going to the Covent Garden WeWork, and there's like 150 people from Deel. It's basically our office without we really realizing. And I think what we do have offices from acquisitions, like I've had some amazing companies that decided that they wanted to take leases for 10 years. So until I can shut them down, I have an office in Berlin if you ever need.