Datacurve has secured $15 million in funding to challenge Scale AI in the AI data market. Datacurve uses a bounty system to attract skilled software engineers for creating hard-to-source datasets. The company incentivises engineers to compete in 'Quests' on Shipd, ensuring high-quality data creation through gamification and a results-driven approach.
Datacurve specialises in delivering top-tier data quality across diverse formats, from traditional SFT and RLHF to frontier agentic data and RL environments. Their platform offers access to a workforce of software engineers who generate and label data, ensuring accuracy, diversity, and scalability for building high-quality code models. This allows developers to focus on core application aspects while achieving better results through training data.
Datacurve's approach involves identifying gaps and defining data needs, offering algorithmic challenges, agentic workflow traces, and private repo task benches. The company collaborates with research teams to iterate quickly and scale production, meeting model release and research timelines.
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