Deterministic Autonomy.
FieldSpace is a deterministic end-to-end autonomy stack — the missing puzzle piece every OEM needs to make autonomous vehicles trustworthy, certifiable, and safe.
Our Mission
To make autonomy trustworthy. Not smarter. Not flashier. Just predictable, explainable, and safe. We believe the industry's reliance on probabilistic neural networks has created a fundamental reliability crisis — phantom braking, inconsistent behavior, and a dependence on remote human operators.
FieldSpace replaces uncertainty in decision-making with deterministic logic. Same inputs, same outputs, every time. This is what certification requires. This is what passengers deserve.
Glass Box Architecture
Every decision has an explainable trace. No black boxes. Regulators can replay any scenario and get bit-identical results.
Deterministic Over Time
FieldSpace remembers intent and resists short-term noise. It changes behavior only when evidence stays strong — eliminating phantom braking entirely.
Built for Certification
Structured hazard outputs, replayable logs, and documented interface contracts. Everything a safety case requires.
Roadmap
2026: OEM Pilots
First OEM pilot programs with Safety Suite validation on partner data. Government robot field trial in Q1.
2027: Production Integration
FieldSpace deployed in production vehicles. Platform licensing across multiple OEM vehicle lines.
2028+: Volume Scale
Per-vehicle royalty model. FieldSpace becomes the standard deterministic decision layer across passenger, commercial, industrial, and defense platforms.
Our Story
FieldSpace was founded by Jack Al-Kahwati, an aerospace engineer who saw a fundamental flaw in how the autonomy industry approaches safety. Every major self-driving system relies on neural networks that guess — producing different outputs for the same inputs, reacting to sensor noise, and falling back on remote human operators when confused.
Aviation solved this problem decades ago: autopilot systems are deterministic. Rail solved it too. But the automotive industry chose a different path — probabilistic AI — and hit a wall. Phantom braking. Hesitation at merges. Degraded performance in rain. Remote operators in the Philippines monitoring 30+ vehicles at once.
Jack built FieldSpace to bring the aviation standard to ground vehicles. A Glass Box Architecture where every decision is traceable, every output is replayable, and regulators can audit the entire decision chain. The same situation always produces the same action.
Today, FieldSpace is the deterministic decision layer that every OEM needs — for passenger vehicles, commercial fleets, industrial equipment, and defense robotics. We're not building another neural network. We're building the missing piece that makes autonomy trustworthy.
Key Milestones
2025: Founded
Deterministic stack prototyped
2025: NVIDIA Inception
Drive Sim validation partnership
2026: Field Trials
Government robot testing
2026: OEM Pilots
First partnerships signed
Partnerships
Safety requires determinism.
In safety-critical systems, the same situation must produce the same action. Behavior must be replayable, and decisions must be explainable.
Aviation (Autopilot)
Rail (Control Systems)
Current Autonomy
The industry has hit a wall. We have the ladder.
Make autonomy trustworthy. Not smarter. Not flashier. Just predictable, explainable, and safe.