Four layers sit above your legacy structures and turn raw information into predictable execution. Between every stage is a validation gate — no output moves forward until it's proven against the fabric.
Translates plain-English intent into technical constraints, validation models, and tests; auto-refactors dependents when policy shifts.
Decomposes objectives into bounded micro-tasks run by specialized workers inside rigid, deterministic state machines.
Scores cost, risk, and latency, then routes each task down the cheapest safe pathway — metadata update or coding mission.
The governed context graph every layer grounds against — permission-aware, continuously synced, resident on your infra.
Agents don't call each other directly. Each worker's output is validated against the fabric before the next worker can consume it — so a hallucination can't be inherited downstream as truth. When a check fails, the transaction rolls back and retries; it never propagates.
Not every change needs code. The execution engine scores each directive on cost, risk, and latency, then routes it — most resolve as a governed metadata update; only new services or hard performance needs trigger a bounded coding mission. See the economics →
Cost, risk, latency, and blast radius are computed against the fabric before a single token is spent.
No code generated. Zero new technical debt. The change lands in the fabric and propagates.
A multi-agent session compiles source only for new microservices or real performance needs, then validates and ships.
The stack deploys unchanged across four topologies — the only variable is where the control plane and compute live.
Fully managed control plane and compute. Zero ops overhead, fastest to value.
Secure cloud control plane paired with your private compute for sensitive workloads.
The entire stack deployed inside your own data center, under your operations.
Complete network isolation. No external dependencies beyond an in-perimeter LLM.
In a fully air-gapped topology, the only external dependency is an LLM inside your perimeter — an open-weights model on your hardware, or a private endpoint. No traffic ever leaves your network. Governance & controls →
We'll walk the gates, the state machine, and your target topology against a real workflow — not slideware.