Powering all of the frontier AI research labs

Be limitless as you explore the edges of AI.

We believe curiosity thrives when you have the right resources, so we've collaborated with industry pioneers to bring you exceptional data.

2. The Gap

AI researchers and enterprises are hitting walls with suboptimal data solutions.

Code visualization showing data challenges

1. Synthetic data lacks human insight.

2. Public datasets are sparse and don't push the frontier.

3. Web-scraped data is noisy.

Our Solution

We've created the new gold standard for training data through dedicated research and partnership with domain experts to create expertly crafted datasets.

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3. Our Research

Model performance is bounded by the quality of training data. Great models start with great data.

The problem? Most training data isn't great.

Stolling machine 1AbacusAnother machineStolling machineResearch illustration with flowers and technology elements

Researchers from world-class institutions including Berkeley AI Research, Allen Institute for AI, and Stanford AI Laboratory have joined our mission to prove this thesis and build data solutions that advance the entire field.

4. Our Data

We're translating our research insights into the data that actually improves model performance.

Browse our curated data library or request a custom dataset built for your needs.

SFT Pairs (Supervised Fine-Tuning Pairs)

SFT Pairs
(Supervised Fine-Tuning Pairs) illustration

High-quality prompt-response and chain-of-thought reasoning examples that teach AI models how to behave. "Training conversations," helping models learn the right way to respond to different types of requests and questions.

Rubric-Based Reinforcement Learning

Rubric-Based Reinforcement Learning illustration

Expert-designed prompts with grading rubrics for reasoning tasks and test cases for code generation. Covers agentic reasoning, multimodal understanding, instruction following, and code gen use cases.

Computer Use Environments

Computer Use Environments illustration

Expert-demonstrated trajectories across high-fidelity browser and desktop environments. Teaches agents to navigate and operate computer interfaces just like humans do.

API and MCP-based RL Environments

API and MCP-based RL Environments illustration

Custom environments built on MCP or API apps and tools. Enables systematic evaluation and training of agents across tools, services, and workflows with automated grading.

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5. Careers

Join the Team Revolutionizing AI Research and Training

We're hiring for engineering, operations, and research roles to help us accelerate AI training data solutions.

Ready to build better AI?