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Every CEO Interview, Transcribed and Verified

CEOs reveal more in one podcast than a quarter of filings. We transcribe, speaker-verify, and index every word, searchable by company, person, or theme.

$125B+
Client AUM
Trusted by institutional funds
210K+
Verified Transcripts
C-suite execs · speaker-verified
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Most enterprise clients start with a 20-min call. No commitment.  ·  API docs →

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The Research Gap

High-signal conversations no news API will surface

The media playbook for CEOs, public officials, and top asset managers has forever changed, they now share their real thinking on long-form podcasts and off-the-cuff interviews. A16Z calls this "new media". In the past, industry titans would need to go through layers of IR gatekeepers to do a squawk box interview but today they go direct.

Why fundamental & quant teams and business schools use it

01 Off-script, candid signal

Major SaaS CEO said "headcount growth" in an earnings call — and next month "layoffs due to AI productivity" on a podcast. That gap is the trade.

02 Data work, done for you

Acquisition, dedup, speaker verification, and quality-vetting handled. Save your postdocs, researchers, and analysts 100+ hours a quarter.

03 Complements calls & filings

An orthogonal signal, months ahead of the disclosure cycle. Ticker and CIK join keys merge into your pipeline in minutes.

How the source compares

Candid conversation vs. scripted disclosure

CEOInterviewsCEOInterviews
Earnings calls
Shareholder letters & 10-K / 10-Q
What you hear
Unscripted, candid conversation
Scripted, lawyer-reviewed
Crafted by IR teams
Where it's said
WSJ Bloomberg YouTube Podcasts Podcasts, TV, conferences: WSJ, Bloomberg, Joe Rogan, niche AI shows
One quarterly webcast
One annual letter + 10-K / 10-Q filings
How fresh
Multiple updates daily, archive to 2006
Four times a year
Annual letter; quarterly filings
Verification
Human + AI verified, per-turn speaker attribution
Varies by vendor
Not applicable

See the difference on your coverage list — book a 20-min demo →

What Our Data Looks Like

Every interview comes back as clean, labeled dialogue. We resolve each speaker, stitch the raw captions into real sentences, and stamp a timestamp on every turn. When the executive we track is the one talking, we attach their entity ID, so you can pull only their words out of a two hour podcast.

C
Chris Nicholson00:00:05
Good afternoon everyone and welcome to the OpenAI forum. I'm Chris Nicholson and I'm glad to be here with all of you today. Today's conversation focuses on one of the biggest questions in technology: what it will mean as AI systems grow dramatically more capable. So Sam, the blueprint we released this morning talks a lot about super intelligence. Why are we doing that now, and what are some things you can see from the inside that you wish everybody knew?
Sam Altman
Sam AltmanTracked Entity00:01:04
The biggest reason is simply that the rate of progress is continuing to accelerate, and we believe we are very close now. This won't be a one time thing. Over the next few years we expect to be in a world of extremely capable models. I think this will have huge impacts on the economy, on the way we live, and on what we can do. The more time the public, our leaders, and the political system have to debate ideas before a decision, the more likely we are to make a good one.
C
Chris Nicholson00:02:26
For sure. And speaking of debate, we brought in a lot of researchers very early in this process. What was that like for you and for the research group as a whole?
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Jensen Huang

Jensen Huang Nvidia

Co-Founder, CEO, President & Director

Nvidia's Jensen Huang on an AI Bubble, Trump, and the Arms Race with China

✓ Speaker Verified Confidence: 0.92 Appeared: Jan 9, 2026
Transcript Excerpt
This is for certain. Everybody's jobs will change as a result of AI. Some jobs will disappear. Obviously, every single industrial revolution, some jobs are just gone and but a whole bunch of new jobs are created. Everybody will have to use AI because if you don't use AI, you're going to lose your job to somebody who does.
Channel: TIME  |  Watch on YouTube →
Review: Speaking Thumb ✓ Thumb Adv V2 ✓ Transcript Adv V2 ✓
Dates: Server Created: 2026-01-10  |  Source: 2026-01-09  |  Appearance V2: 2026-01-09
Extra Dictionary:
Sam Altman

Sam Altman OpenAI

CEO

Inside OpenAI's Stargate Megafactory with Sam Altman | The Circuit

✓ Speaker Verified Confidence: 0.91 Appeared: Jun 4, 2025
Transcript Excerpt
Stargate, put that name down in your books 'cause I think you're gonna hear a lot about it in the future. A new American company that will invest $500 billion, at least in AI infrastructure. The data centers are actually under construction.
Channel: Bloomberg Originals (4.9M subs)  |  Watch on YouTube →
Review: Speaking Thumb ✓ Thumb Adv V2 ✓ Transcript Adv V2 ✓
Stats: 6M views  |  85K likes  |  42 min
Extra Dictionary:

1,000,000+ More Quotes & Transcripts

Every major CEO, hedge fund manager, central banker, and tech executive, updated realtime. Search by name, company, ticker, or topic.

20,000+
Executives
2,000+
Public Companies
Daily
Updates
REST API
Full Programmatic Access
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Used by top business schools to supercharge research

WhartonWharton Chicago BoothChicago Booth Northwestern KelloggNorthwestern Kellogg VanderbiltVanderbilt Schulich, York UniversitySchulich · York U University of Tennessee KnoxvilleTennessee Knoxville University of RichmondRichmond

In production at funds today

~$80B AUM global investment manager: equity research and trading strategies
Risk-management and portfolio-construction firm: advising its portfolio companies
Ticker and CIK join keys merge in minutes for quick backtesting

Used by top hedge funds

$200B+ AUM in client assets across L/S investment managers, VCs, and family offices

Trusted by Institutions That Depend on Data Quality

We run systematic trading strategies where bad data leads to lower P&L. CEOInterviews got us firsthand transcripts from executives at all our target companies that we couldn't source anywhere else. Their support team was great in making sure we got everything we needed (content deduplication, removing spam or low quality content). Every edge case we flagged was fixed within 24 hours. With CEOInterviews we are able to make better investment decisions.
📈
Quants & Investment Professionals
Global Hedge Fund (AUM ~$100B+)
We spent months trying to stitch together statements from CFOs/CEOs for a white-paper on C-suite gender differences. CEOInterviews had 4,000+ executives with full transcripts, gender labels, and structured metadata out of the box. When we flagged missing companies, their team backfilled our entire target list within 24 hours. It unlocked research we genuinely couldn't do before.
🎓
Research Postdocs
Vanderbilt & Indiana University

Frequently Asked Questions

What is CEOInterviews.AI?

CEOInterviews.AI is the world's largest database of verified executive conversation transcripts. It covers 20,000+ C-suite leaders across the S&P 500, NASDAQ, and global markets with over 1 million quotes and full transcripts from podcasts, interviews, conferences, and earnings calls.

How are executive transcripts verified?

Every transcript runs through multiple AI classifiers and human review to verify the CEO is actually speaking, not just mentioned. The system checks for deepfakes, dubbing, and secondhand reporting to ensure only direct first-person statements are included. Each transcript includes a confidence score.

Do your transcripts identify who is speaking?

Yes. Every transcript is available in an enhanced, speaker attributed format. We group the raw captions into clean utterances, label each one with the person talking, and keep a timestamp on every turn. When the executive we track is the speaker, we attach their entity ID, so you can pull only their words out of a long conversation. These structured segments come back over the API in the enhanced_transcript field.

What executives and companies are covered?

CEOInterviews covers every C-suite executive across the S&P 500, NASDAQ, and global public markets — over 20,000 executives from 2,000+ companies. It also covers political leaders including US Presidents, Prime Ministers, Federal Reserve officials, FOMC members, and ECB leaders.

Is there an API for accessing CEO transcript data?

Yes. CEOInterviews offers a RESTful API with full pagination, supporting 1,000 requests/minute with unlimited monthly requests. Data is available in JSON and structured CSV formats. Full API documentation here.

Who uses CEO transcript data?

Hedge funds use it for sentiment analysis and alpha generation. Business school researchers study leadership communication patterns. AI labs use the structured transcripts for model training. Journalists fact-check executive quotes. Private equity firms use it for due diligence.

How is this different from earnings call transcripts?

CEOInterviews focuses on unscripted content — long-form podcasts, interviews, and conference appearances where executives speak candidly. These unguarded moments often contain more authentic signals than scripted earnings calls or press releases. The dataset includes both traditional earnings content and these harder-to-find alternative sources.

Stop Missing the Signal

The most candid executive statements happen in podcasts and interviews — not filings. We made them searchable.

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Enterprise or API inquiries: [email protected] — I respond within 24 hours.