SignalWeaver evaluates AI decisions against declared policy, produces a deterministic outcome, and records a replayable trace for audit.
Interactive preview based on the live SignalWeaver demo flow.
Interactive preview based on the live SignalWeaver demo flow.
Same input, same output. Always.
Works with any AI system. No retraining required.
Every decision auditable
Simulate policy changes
AI agents make decisions that cannot be audited, traced, or governed - and regulators are now demanding answers that model-based systems cannot provide.
Neural networks are black boxes. When something goes wrong, there is no way to reconstruct why.
EU AI Act requires explainability and human oversight. Most AI systems cannot provide either.
Cannot test "what if we changed the rules" without retraining entire models.
Five building blocks that work together to govern AI agent behavior with mathematical certainty.
Policy rules that cannot drift or degrade over time. Deterministic by design.
Real-time action evaluation. Every agent request passes through policy gates.
Complete audit trail of every decision, with inputs, rules applied, and outcomes.
Re-execute past decisions to verify behavior or reproduce issues.
Simulate how policy changes would have affected historical decisions — impossible with model-based approaches.
Three steps from chaos to compliance
Write Truth Anchors in declarative YAML. Version control with Git.
Route AI agent actions through the Gate Engine API.
Query decision traces. Run counterfactuals. Prove compliance.
SignalWeaver is currently in private beta. Request access to evaluate it for your AI governance needs.