FieldSpace - Physics-based world model for autonomy

Physics-based world model for autonomy, runs beside your neural nets

Validate perception, prune impossible trajectories, cut compute, improve safety. FieldSpace integrates with your existing stack—no retraining required.

See Developer Sandbox
Works with ROS 1/2, gRPC
4-week pilot program
No perception retraining
Partnership-First Approach

What FieldSpace Does

Physics-grounded intelligence that runs beside your neural networks. Keep your current perception models—we add validation, trajectory planning, and safety envelopes.

🛡️

Reliability

Constraint-aware world modeling reduces false positives and bad plans

💻

Lower Compute

Prune infeasible futures so heavy vision does not run unnecessarily

📡

Degraded Comms

Short-horizon prediction keeps motion safe when bandwidth dips

🔄

Multimodal

Fuse camera, LiDAR, radar, IMU, and joint states into a consistent state

📊

Fleet Scale

Incident tagging and counterfactual replays raise reliability over time

No Retraining

Works with your existing perception stack—no model changes required

Ready to Get Started?

Start a 4-week pilot program. Week 0: scope and KPIs. Week 1: log replay. Week 2: closed-course trials. Week 3: A/B testing and final report.

Read Technical Brief

4-week pilot program. KPI-driven validation. Designed for autonomy teams.