Determinism where it matters, reasoning where it helps
Lamassu drops self-contained edge nodes into a neighbourhood, a campus, or a whole city. Each node connects to the sensor feeds it finds locally — cameras, acoustic arrays, air-quality networks, building systems — runs sensor-specialist micro-models on what it sees, and shares observations with its neighbours over a self-healing mesh. One central node correlates the whole fabric and commits the picture an operator acts on.
A node is productive within minutes of mounting: it self-provisions with a cryptographic identity, discovers local feeds over the standards they already speak, and keeps sensing on its own when the network fails — reconciling when the link returns.
- Deployable nodes, operational in minutes
- Ingestion over the standards the city already speaks
- A picture that survives the loss of any node or link
- Confidence computed from evidence, not asserted
- Privacy-first: Personal Data redacted, retention-limited
Propose. Compose. Commit.
Many small experts instead of one large model — a bet that specialisation plus composition beats generalisation for urban sensing. And a three-step transition no model may short-circuit.
It raises the alert.
It never takes the action.
Lamassu is a civilian platform, without exception. The most consequential thing an agent may do unaided is raise an alert; every effect that reaches the outside world — even steering a camera — is gated behind a deny-by-default policy engine, an earned trust zone, and an accountable human decision. The policy layer of every zone is human: systems do not make decisions for action, because they cannot be responsible for them.
