Real-world data for physical AI

Every Shift Your Fleet Works Becomes Data You Can Use.

Transform routine fleet operations into high-value ML training data. Capture time-synchronized robot telemetry, sensor feeds, and egocentric video to power internal optimization and scoped physical AI partnerships.

WHAT IT CAPTURES

Multimodal. Automatic. Continuous.

Unifying robot-driven telemetry and rich egocentric data into a single, continuous pipeline for machine learning.

Time-Synchronized Multimodal Capture

Robot telemetry—including joint dynamics, torque, and IMU metrics—is automatically synchronized frame-by-frame with first-person egocentric video streams and operator intent.

Automatic Disengagement Tagging

Human interventions, teleop handoffs, and edge cases are flagged instantly at the edge. The system logs precisely when and why an intervention occurred without manual tagging.

The Continuous Flywheel

Data collection runs natively alongside daily tasks. Every shift automatically enriches your robotics dataset as a direct byproduct of your fleet doing its normal work.

WHO USES THIS DATA, AND HOW

Your Data. Your Rules.

YOUR OPERATIONS TEAM

A Structured Record of Fleet Performance

Give your operations team a fully searchable record of every robot's shift on the floor. Review root causes, analyze operational edge cases, and query performance metrics directly through the Physical AI Layer’s conversational interface.

UPSTREAM RESEARCH PARTNERS

Scoped Partnerships on Your Terms

Accelerate frontier AI development by granting select labs access to evaluate models against real-world robot data and egocentric operational streams—strictly governed by terms and scopes you control.

Built for operational autonomy. Your underlying fleet data—from core robot metrics to egocentric visual streams—powers internal performance reviews and optional external AI collaboration on your exact terms.

SEE IT IN PRACTICE

Tagged Instantly. Audit-Ready Immediately.

When an operator steps in during a robot disengagement or jam, the event is tagged in real time—time-synced with the complete window of robot sensor logs, torque data, and egocentric video.

The event instantly joins your central operational record. Where research partnerships exist, these multi-sensor records are evaluated on the terms and permissions you define.

THE LOOP

Jam Detected → Teleop Engaged → Intervention Tagged → Time-Synced Record Created → Instant Dashboard Availability


No separate step required.No separate data collection runs. Just continuous, multi-sensor operational intelligence.

Ready to Turn Robot Operations Into Actionable AI Data?

See how the Egocentric Data Engine works alongside broader Fleet Orchestration and the Physical AI Layer.