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    Datacurve Lands $15 Million to Grow Bounty-Based Data Platform

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    Datacurve Lands $15 Million to Grow Bounty-Based Data Platform

    We spend a lot of time thinking about the experience of contributors. The goal is to make it clear what is expected, provide fair rewards, and maintain consistent quality.

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    Datacurve, a Y Combinator graduate, has raised $15 million in a Series A funding round led by Mark Goldberg’s Chemistry. Employees from DeepMind, Vercel, Anthropic, and OpenAI also participated in the round. The company previously raised a $2.7 million seed round backed by Balaji Srinivasan and other early-stage investors.

    The Series A funding is intended to strengthen Datacurve’s operational systems for sourcing high-quality datasets. The company focuses on maintaining structured workflows for contributor engagement, task assignment, and data verification.

    Co-founder Serena Ge said, “We treat this as a consumer product, not a data labeling operation. We spend a lot of time thinking about: How can we optimize it so that the people we want are interested and get onto our platform?”

    Datacurve recruits software engineers for tasks requiring specialized technical knowledge. Contributors are selected based on skill, and tasks are structured to ensure that the resulting datasets meet defined quality standards. The company emphasizes workflow consistency, making sure that all stages, from task assignment to final submission, follow a repeatable process.

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