Computer-use trajectories
Human-demonstrated interactions across browser and native desktop environments, teaching models to navigate and operate across both.
We capture how people work to train frontier robotics.
Backed by angels from
Egocentric datasets
Our standard: head-mounted egocentric video with a synchronized 6-DoF IMU (accelerometer + gyroscope) at 100 Hz or higher. Need more? We run custom protocols and add wearables such as tactile devices.
Available environments
Specialized in Latin American work settings. We operate exclusively as a new-collection provider: every hour is recorded to your spec. We don’t license existing footage.
What we build
Human-demonstrated interactions across browser and native desktop environments, teaching models to navigate and operate across both.
Grading frameworks for reasoning and code generation, turning subjective expert judgment into scalable reward signals.
Agents learn to complete long-horizon tasks with autonomy and reliability, in isolated environments.
Why we build
Today, very few labs can train an agent with RL environments and reliable data.
By 2027 that moves to the company: each organisation turning its own experts’ work into environments with verifiable rewards its agents can learn from.
We’re building for that future, and hiring:
San Francisco · Full-time
San Francisco · Full-time
San Francisco · Full-time