Industrial environments, multimodal task data, and evals for physical AI


We give robotics, VLA, and world-model teams access to real factory, warehouse, and light-manufacturing environments for task-specific data capture, evaluation, and deployment readiness.

Not generic video volume. Real tasks, captured deeply: successful demonstrations, failure and recovery sequences, task taxonomy, benchmark structure, and bespoke multimodal signals.

What we provide

Industrial environment access
Access to 60+ European and UAE industrial environments across factory, warehouse, retail, and light-manufacturing workflows.

Bespoke multimodal capture
POV and wrist video, IMU, fixed-camera views, depth / scene capture, and 3D reconstruction. Configured per task and per buyer.

Evaluation structure
Task taxonomies, failure labels, sealed holdbacks, and benchmark criteria for measuring real-world model performance.

Built for the reliability gap
Real environments expose failures, recoveries, and edge cases that synthetic or studio data often miss.


Private sample materials and technical notes available on request.


Contact

pg@physicalgrid.ai


EU | SF | UAE



Inspired by E's brain cell