High Quality Post-Training and Evaluation Data
Supervised Fine Tuning
SFT data across variety of coding tasks
Reinforcement Learning Environments
Reinforcement learning environments designed for repo-wide code evaluation and verification tasks
Reinforcement Learning with Human Feedback
Custom model end point in the loop RLHF
A partner you can trust for mission critical projects
Algorithmic Challenges
Original DSA problems and Leetcode-style puzzles at large volume for core algorithmic coding skills training or evaluation.
Agentic Workflow Traces
Full "trace" of software developer telemetry captured through our custom IDE—including code execution to edit loops, file navigation, execution traces, and verbal/ written thoughts—for training software agents.
Reasoning & Debugging
Bugs and software engineering inspired from production environments, reasoning-heavy tasks contributed by professional engineers facing bugs at day jobs to simulate model-stumping scenarios.
Private Repo Taskbench
Design custom tasks on private codebases (e.g. enterprise apps, games, systems software), enabling model training or evaluation on realistic, proprietary repositories.
Multimodal Interfaces
Games, UX, and UI tasks that teach models to connect static code with dynamic behavior—using prompts, screenshots, or recordings to train cross-modal understanding of how interactive software should look, feel, and function.
"Working with Datacurve has been refreshing. They are proactive with understanding our pain points and resolving them by any means necessary. Their team is deeply engaged in supporting us every step of the way."
Manager, Machine Learning
Customer since 2024
Identify Gaps and Define Your Data Needs
Whether you come in with well-defined requirements or prefer to co-develop a strategy, our private benchmarking tools help you understand exactly where your model struggles. Start by telling us about your internal goals—or run a code benchmark with us to uncover model weaknesses. Together, we'll scope the data types, edge cases, and annotation formats required to close those gaps.
Scale Without Bottlenecks
Datacurve supports high-volume data production by determining ramp schedules with you. Our infrastructure is built for various coding tasks to scale. Our technical project engineering lead and operations project leads ensure seamless scale-ups without compromising on delivery timelines or quality control.
Complex Data, with Precision
Datacurve specializes in delivering top-tier data quality across the most complex and diverse data formats, from traditional SFT and RLHF to frontier agentic data and RL environments. We built this company from day 1 putting quality first, using the best incentive structure and mechanisms to attract and retain the best developers through our gamified platform approach
Fast Speed to Iterate and Scale
Our technical team of engineers with research background deeply understand model training and data utilization needs, enabling fast iteration with your research team. At a pilot stage, we iterate fast with you to ramp up to scaled production, and run data campaigns that meet your model release and research timelines.
Incentivizing and motivating the best engineers for data creation
Our data creation process is purpose-built on a custom gamified, bounty-based coding platform to attract and retain the best engineers. We built an engaging experience tapping into the psychology of competition and fundamental human motivation to create diverse and complex data
Motivation
We turn data projects into "Quests" on Shipd and select the best engineers from our pool of over 14,000 to compete in the quest
Gamification
By building gamification mechanisms throughout the data creation process, contributors are motivated to contribute high-quality, rich human data
Results driven
Shipd operates on a bounty based system, where engineers compete to win bountied tasks, thereby realigning contributor motivation to be output driven instead of input / hourly rate driven
Keeping Up With Datacurve
Featured in: How To Get AI Startup Ideas
"Serena Ge from Datacurve is one of my favourite recent founders.."
"Running Y Combinator Like a Founder | Garry Tan"
in Uncapped with Jack Altman
Featured as: The data pillar for foundation models
Recent Press
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