As AI companies mature, the fight for high-quality data has become one of the most competitive areas in the industry, launching companies like Mercor, Surge, and, most prominently, Alexandr Wang’s ScaleAI. But now that Wang has moved to run AI at Meta , many funders see an opening — and are willing to fund companies with compelling new strategies for collecting training data.

The Y Combinator graduate Datacurve is one such company, focusing on high-quality data for software development. On Thursday, the company announced a $15 million Series A round, led by Mark Goldberg at Chemistry with participation from employees at DeepMind, Vercel, Anthropic, and OpenAI. The Series A comes after a $2.7 million seed round, which drew investment from former Coinbase CTO Balaji Srinivasan.

Datacur

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