Governed Execution Infrastructure

AI should propose.
Not execute.

We build the operating systems and SDKs that sit between intent and action — checking risky AI, software, and hardware decisions before execution, generating tamper-evident receipts, and enforcing control at every layer from compiler to silicon. Across 64,184 production cycles, the substrate measurably learned to predict itself — surprise dropped 96.8%. The category — Safe LLM Agent Runtime for Regulated Industries — doesn't have a clean public name yet. We built it anyway.

25+
Provisional Patents
3,381
Tests Passing
96.8%
Self-Prediction Learning
12.77ms
Hardware Enforcement
TRL-7
Operational Pilot

Probabilistic systems for novelty. Deterministic systems for execution.
Before anything risky happens, it must pass a gate, leave a receipt, and be enforceable.

01 / PROPOSE
Intent

AI, software, or human requests an action. Origin is irrelevant — everything is suspect.

02 / GATE
Deterministic Check

Policy, coherence, drift, and risk gates evaluate. Binary outcome — no probabilistic judgment in the path.

03 / RECEIPT
Tamper-Evident Proof

Every decision is hash-chained, signed, replayable. Audit-grade from the moment it's written.

04 / EXECUTE
Bounded Action

Allowed, denied, deferred, or escalated. Hardware-attested when stakes demand it.

Live in Your Browser

Don't take our word for it. Move the sliders.

Seven interactive demos run the actual algorithm logic in your browser — no backend, no signup. Open the demos hub or jump straight into one below.

Shippable Products

Five products, ready for pilot or near-ready today.

One flagship runtime and four buyer-shaped wrappers. Each one carries the same execution-control DNA, packaged for a different buyer — compliance officers, developer teams, GPU operators, and platform engineers.

★ Flagship Product
Safe Agent Runtime
The Whole Thing As One Thing

A governed LLM-agent loop with self-prediction, adversarial testing, bounded learning, and audit receipts. The runtime that ties every other WHL product into a single continuously-running, self-modeling, audit-chained agent. Built for the regulated-AI deployment market that doesn't have a complete reference implementation yet.

46,530
Production Cycles
Explore the flagship →
Defensible Moat

Governance enforced at every layer — compiler, OS, hardware, physics.

The products run on a stack that controls execution beneath the application layer. This is the substrate that makes the products possible, and the lane for licensing, SBIR, and strategic partnerships.

Application Domains

Built for systems where being wrong is not an option.

Verifiable, Not Aspirational

Every claim has a measurement.

Test counts. Hardware latencies. Filed patents. We publish numbers because the substrate has to be checkable.

696
Governance SDK tests
whl-governance v0.2.0 · 7 composable gates
1,782
GE-OS tests
12-stage mandatory pipeline · 84% fail-rate reduction
12.77ms
Proposal → hardware disable
DECC FPGA HIL · measured on Basys3
25
Filed provisional patents
USPTO 19/567,170 · +5 new bundles drafted
77/77
CB-12 compliance tests
Dual HMAC chain · live curl e2e trace
1.5ms
SDM p99 hot path
Drift detection on live LLM streams
485/485
Optimizer Platform tests
421 Rust + 64 Python · Stripe + Ed25519 end-to-end
6
Compile targets, one command
Codex Sovereign DSL · FPGA, REST, mesh, Python, JSON, FSM
Ready for Pilot Deployment

TRL-7 operational pilots available now.

Forensic reviews, architecture audits, SBIR Phase III transitions, and licensing engagements. Limited per quarter. We work with defense primes, regulated enterprise, and infrastructure operators.