Real Autonomy Starts with Real Physics
A physics‑first perception and decision layer that helps teams progress toward higher autonomy (L4/L5) under defined conditions with a camera‑centric stack.
Solve the $100B Autonomous Driving Problem
While competitors burn billions on unpredictable black boxes, FieldSpace delivers explainable, deterministic perception and decision signals—designed to scale and move you toward higher autonomy under defined conditions.
90% Lower BOM Costs
No LiDAR ($15K), no radar ($5K), no high-end compute ($20K). Works with standard automotive cameras and basic ECUs.
6-Month Integration
Software-first approach integrates with existing vehicle architectures. No hardware redesign, no new supply chains.
Liability Protection
Deterministic, physics‑based outputs provide clear audit trails and artifacts for internal and external reviews.
Manufacturing Scale
Proven to work across millions of vehicles. Deterministic performance eliminates the variability that plagues ML systems.
Competitive Advantage
Accelerate toward high‑level autonomy with explainable signals and faster iteration—reduce time spent on edge‑case churn.
Regulatory Approval
Regulatory‑friendly: explainable outputs and replayable metrics to support safety reviews and compliance processes.
Powered by NVIDIA Technology
FieldSpace is proud to be an NVIDIA Inception program member, accelerating innovation in physics-first autonomy with real-time 4D simulation powered by NVIDIA GPUs.
Lead the Autonomy Revolution
While the industry spends billions on unpredictable neural networks, ship supervised autonomous pilots in months—not years—with deterministic, explainable perception and decision signals.
6‑month integration target. Designed for supervised pilots. Built for measurable progress.