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About
Builds RL environments, evaluations, and verifiable training data for coding and computer-use agents, including software-world simulations, Terminal-Bench-style tasks, and long-horizon tool gyms.
What They Offer
Commercial or operational services this company provides.
Products & Public Artifacts
Long-horizon agent environments centered on tool and MCP interactions, designed for multi-step training and evaluation with verifiable outcomes.
Visit artifact →Hosted platform for uploading, inspecting, replaying, and sharing agent trajectories, including multimodal computer-use runs.
Visit artifact →Large collection of verifiable real-world software-development workflows designed for coding-agent training and supervised fine-tuning.
Visit artifact →Open-source model-agnostic computer-use harness for running and evaluating visual agents across computer tasks.
Visit artifact →RLVR-oriented coding dataset with verifiable software tasks and binary reward signals for reinforcement-learning workflows.
Visit artifact →Technical Capabilities
Only publicly documented capabilities are shown. Absence does not imply the capability is unavailable.
Focus Areas
Domains
Leadership
Previously worked at Amazon and Capital One, with a background in vision, voice, and tabular data pipelines and large-scale web scraping.
Previously worked in machine learning at Uber; studied computer science at UIUC.