The Agentic Data Co.
New accelerator entry · 2026-09-09 · the record
In their words
We design and collect audio datasets for training speech models.
What the record says
What the site is built with
Read from the page's own HTML and response headers on 10 September 2026, at https://theagenticdatacompany.com/. Each badge matched a string the site serves about itself — hover one to see which. Nothing here is a traffic, ranking or revenue figure: those cannot be read off a page and are not claimed.
Where this sits on the site
Most-starred repository: open-yap-1k — 10 stars, Python.
Counted 2026-09-09 across repositories the account owns; forks are excluded.
Checked away from the directory entry. What is below does not come from the company's Y Combinator page.
Conversational data at frontier scale for the labs training the next era of speech models.
The title and description the site itself served, answering 200. Not a cached copy and not the company's directory entry — what was live when we asked.
Founders, titles and bios as the company published them. Photographs are our own copies of the ones on that record, so they do not break when the original link expires.
Against the 37 companies on file from Fall 2026. Median team 2, largest 6.
Interest Score
Every component below is a field already shown elsewhere on this page.
| Component | What it read | Points |
|---|---|---|
| Team size against its batch | 2 on the directory entry | 3 / 25 |
| Founders named | 2 named | 11 / 15 |
| Site answered when asked | https://theagenticdatacompany.com/ answered | 20 / 20 |
| Public repository linked | a GitHub account is linked from the record | 20 / 20 |
| Named on Hacker News | no thread carries the company by name | 0 / 20 |
| Total | 54 / 100 = 54 | |
The formula is the table: each component scores against a fixed maximum, the totals are added, and the score is the total divided by the points this record type can carry — 100, not 100 — because a directory entry states no offering amount or investor count, and scoring it against components the entry cannot hold would rank every company below every filing for the same reason. It measures how much publicly checkable activity surrounds this record today. It is not growth, not traction, not quality, and it is not a prediction.
Companies doing the same kind of thing (B2B), matched on the sectors each one lists rather than on when it was admitted.
| Company | Batch | Sectors | Listed |
|---|---|---|---|
| Akon Labs | Summer 2026 | Artificial Intelligence, Generative AI, SaaS | 2026-08-14 |
| Almanac | Summer 2026 | Artificial Intelligence, Generative AI, AI Assistant | 2026-07-16 |
| Axelrod | Summer 2026 | Artificial Intelligence, Travel | 2026-07-16 |
| Bizmark | Summer 2026 | Artificial Intelligence, Manufacturing, Automation | 2026-07-17 |
| CarSignal | Summer 2026 | Artificial Intelligence, Hardware, SaaS | 2026-08-02 |
| Conifer | Summer 2026 | Artificial Intelligence, Developer Tools, B2B | 2026-07-08 |
| DeepReach Inc. | Summer 2026 | Artificial Intelligence, Hardware, Machine Learning | 2026-08-12 |
| Dream | Summer 2026 | Artificial Intelligence, Hardware, Machine Learning | 2026-08-13 |
| Enjamb Labs | Spring 2026 | Artificial Intelligence, SaaS, B2B | 2026-05-28 |
| Financial Datasets | Summer 2026 | Artificial Intelligence, Fintech, Investing | 2026-08-10 |
| Forward | Fall 2026 | Artificial Intelligence, Fintech, B2B | 2026-08-06 |
| Lamb Labs | Summer 2026 | Artificial Intelligence, Hardware, B2B | 2026-07-29 |
| Mosaic | Summer 2026 | Artificial Intelligence | 2026-08-09 |
| Nodus Compute | Fall 2026 | Artificial Intelligence, Infrastructure | 2026-08-30 |
| Olam Labs | Summer 2026 | Artificial Intelligence, Reinforcement Learning, Gaming | 2026-07-20 |
| Ooak Data | Summer 2026 | Artificial Intelligence, Reinforcement Learning | 2026-07-13 |
| Perceptron ML | Summer 2026 | Artificial Intelligence, B2B, Legal | 2026-06-26 |
| Poth Labs | Summer 2026 | Artificial Intelligence, SaaS, B2B | 2026-06-24 |
| Qokedas | Fall 2026 | Artificial Intelligence, Deep Learning | 2026-08-03 |
| Rapidfolio | Summer 2026 | Artificial Intelligence, Fintech, SaaS | 2026-07-16 |
| Tenor | Summer 2026 | Artificial Intelligence, B2B, Automation | 2026-08-11 |
| Trope | Summer 2026 | Artificial Intelligence, SaaS, B2B | 2026-07-07 |
| Akkari | Spring 2026 | — | 2026-06-04 |
| Assemble | Summer 2026 | SaaS, Enterprise Software, AI | 2026-07-12 |
| Belvedir | Summer 2026 | Machine Learning, Infrastructure | 2026-07-17 |
| The Agentic Data Co. (this page) | Fall 2026 | Artificial Intelligence, Conversational AI, ML | 2026-09-09 |
Click a column heading to sort. 203 other records here share at least one sector with this one; the 25 nearest are in the table. Comparison is against records held here, not against every company that exists.
- 2 founders named on the directory entry.
- One of 51 companies held here in B2B.
No investor is drawn from a Form D — the form states how many invested and never who. The one investor on this graph is named because a batch has exactly one.
The full profile
Source Check, INVEST, RECRUIT and Press Requests on The Agentic Data Co.
- Source Check — verify Christian Vestergaard's other claims against the registers that hold them.
- INVEST — compare this company against the peers above, on the numbers.
- RECRUIT — see who is already on the team.
- Press Requests — connect with Christian Vestergaard for a story.
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Is this you?
If you're behind The Agentic Data Co.: acceptance into a YC batch is one of the few weeks a young company gets looked up by people who matter — investors, other founders, press. FoxPlug turns the commits, deploys, and releases you're already making into that story automatically, so anyone who looks finds something current. FoxChat puts a guide on your own site so the people YC's own page just sent you don't read one line and leave.
Sourced from the company's Y Combinator directory entry, from the company's own site, read directly on 2026-09-09 (theagenticdatacompany.com), and from the public GitHub account that record links to (The-Agentic-Data-Co). Figures are read directly from the source record; names have not been matched against other people.
