Egocentric video for robotics

Capturing human experience

We capture how people work to train frontier robotics.

Backed by angels from

Egocentric datasets

Custom data collection for frontier robotics.

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

Dedicated business sites in LATAM.

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

Custom data and RL envs to capture how real‑work happens in desktop applications.

01Trajectories

Computer-use trajectories

Human-demonstrated interactions across browser and native desktop environments, teaching models to navigate and operate across both.

02Reward signal

Reinforcement learning and rubrics

Grading frameworks for reasoning and code generation, turning subjective expert judgment into scalable reward signals.

03Environments

Custom simulated environments

Agents learn to complete long-horizon tasks with autonomy and reliability, in isolated environments.

litepipe.ai/sample Open full ↗

Why we build

Training moves inside the company.

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:

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