Applied research lab focusing on real business data and workflow

Paris - France
Joined March 2025
Most AI agents are trained in fake offices. We build digital twins of real ones. What’s a digital twin? A copy of a real company, with the same tools, workflows and code, where AI agents learn to do real work. Same people, same structure. All identities are anonymized.
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Ooak Data (YC S26) retweeted
Your company’s Slack, docs and tickets are worth more than you think. License them to Ooak Data: we anonymize everything and turn them into datasets used to train AI. You keep your IP, and earn up to $1M. Get an estimate in a few clicks on ooakdata.com/partner
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Ooak Data (YC S26) retweeted
Companies are sitting on years of operational data. AI labs need exactly that to keep improving. At @Ooakdata we turn your workflows into a new revenue line for your business: earn up to $1M while keeping your IP. How it works: 1- Get a live estimate of what your data is worth on ooakdata.com/partner 2- Fill a short form about your company 3- Our team reviews your request and gets back to you in 24h.
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Ooak Data (YC S26) retweeted
If you want in on the data broker thing, this is literally all it is 1. ooakdata.com/partner 2. Call with Chris 3. Done
If you want in on the data broker thing, this is literally all it is > sign up as a micro1 referral partner and a Polyshares partner so you have your own tracked links > find a business with 30+ employees and years of records sitting in their systems > check the Wayback Machine for 3+ years of company history before you email anyone > send the owner your link > let the buyer evaluate the company and price the deal > get paid up to $50K per completed micro1 referral, or a share of deal value on Polyshares We submitted 46 data deals in 3 weeks doing exactly this and 13 are moving to next steps The article has the whole process, the email I send owners and the earnings math, so read it next if you want to capitalize on this. Links in the comments
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Ooak Data (YC S26) retweeted
Three months, one batch, a lot of late nights in SF. We came to @ycombinator with @ooakdata to bring company workflows to AI training. Turns out a lot of companies are ready for it. Now the real work starts, and we're hiring in SF and Paris. 👇 link in comments
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Last week we ran out of table. Now we're running out of office... New Ooak Data home in Paris coming soon.
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Team Ooak Data just got bigger. Welcome aboard!
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introducting Ooak Data (YC S26) 🚀 Agents fail on real work because real enterprise workflows can't be made up. They have to be sourced. Ooak Data turns internal company data into a training ground where AI agents can be tested on real work. DMs open
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Ooak Data (YC S26) retweeted
Replying to @aiDotEngineer
@aiDotEngineer is really busy with amazing talks and conversation! If you want to discuss about RL environments, agent as co-worker ping me!
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Ooak Data (YC S26) retweeted
Replying to @Ooakdata
@Ooakdata is joining @ycombinator S26! Agents don't fail because the model is weak. They fail because they trained on clean benchmarks and got deployed into a company running on Notion sub pages, Slack threads, and three overlapping CRMs. We make RL environments out of real world entreprise data aka messy data. 8 months, couldn't be happier with who we're building this with.
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Ooak Data (YC S26) retweeted
If you aren’t pivoting into an RL environments company are you even trying?
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Ooak Data (YC S26) retweeted
If this is the case DM me we would love to help you with your data!
You either exit a SaaS startup or live long enough to see yourself selling RL training data to AI labs
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Ooak Data (YC S26) retweeted
At @ooakdata, we're focused on knowledge work environments: Finance, Operations, Strategy but also day to day. Real tasks. Real tools (Excel, Word, email). Real rubrics. Agents don't just answer questions, they complete professional workflows end to end. Explore the benchmark 👇 apex-explorer.ooakdata.com/
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Ooak Data (YC S26) retweeted
Leaving PayLead after 5 years. Now co-founding @Ooakdata as CTO & CDO. We're building RL environments with real enterprise data to push what AI models can actually do at work. Following what happened for code, enterprise workflows are next !
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