GIDE · Guaranteed Intelligent Dynamics Engine

Autonomous control you can prove is safe.

GIDE is a real-time control engine whose safety properties are formally verified against stated system and environment assumptions — one verified core, specialized at compile time, from quadrotors to live markets.

0.767 µs
CfC inference
13,000×
faster than real-time
219
theorems machine-checked
5
domains running end-to-end

// intelligence with guarantees

Verified, real-time, and self-improving.

Machine-checked safety

Control Barrier Functions verified as theorems in Lean 4 and Isabelle — over the mathematical model, not inferred from passing test runs.

Real-time

Closed-form continuous-time inference — the reference kernel measures 0.767 µs per forward pass, 13,000× inside a 100 Hz control budget.

Self-improving

Neuroevolution, plus a Self-Dev loop that writes and checks its own code — not yet fully autonomous.

// one engine, infinite domains

Specialized at compile time

Zig · C++ · Rust · Python · custom CUDA kernels

Cart-pole control
3D cart-pole balancing with machine-checked CBF safety proofs.
Quadrotor flight
6-DOF quadrotors with hybrid CfC / LQR / MPC control.
Financial markets
Live FX trading, a 36-objective curriculum, Oanda connector.
Language models
Entropy, grounding, and safety regulation for LLM control.
Autonomous software
A Self-Dev loop that specs, builds, and checks its own code — approaching its first fully autonomous cycle.

Running end-to-end means the domain builds against the same verified core and exercises it with its own harness and test suite — not a demo, and not a customer deployment. Maturity varies per domain and is stated on the evidence page.

Verified against stated assumptions.

Safety properties are stated as Control Barrier Function theorems and machine-checked in Lean 4 and Isabelle, over the mathematical model. The assumptions they rest on, and what they do not cover, are published rather than implied.

Read the evidence →

Let's build something you can verify.

Safety-critical control, autonomous systems, formal methods — we'd like to hear from you.