Datacurve builds data infrastructure and supplies high-quality post-training and evaluation datasets for foundation model labs. The company specializes in complex coding tasks, working with leading model developers to generate the data needed for supervised fine-tuning, reinforcement learning, RLHF, agentic workflows, and reasoning challenges.
The company operates Shipd, a gamified platform that engages software engineers through a bounty-based system. Engineers compete to solve challenging coding problems, with the output feeding directly into high-fidelity datasets designed for model improvement and evaluation. This approach combines rigorous data quality standards with a talent model built around attracting top engineering contributors.
Datacurve's technical scope spans supervised fine-tuning data, reinforcement learning environments, human feedback loops, agentic workflow traces, reasoning and debugging challenge design, and private repository taskbenches. The platform supports multiple data formats and specialization levels, enabling foundation model labs and enterprises to iterate on model capabilities with research-grade datasets.
