Intent verification infrastructure for autonomous agents.

Intended, Inc. builds the runtime layer that verifies what an agent is about to do matches what was intended — before execution, in the target system, fail-closed. We are a Delaware C Corporation operating from Austin, Texas, with our registered office in San Francisco, building toward a single claim: nothing autonomous moves without consent, and every consent is provable without us.

Policies define rules. They do not define intention.

Every control in the stack was designed around a human in the loop. RBAC assumes a person clicked; code review assumes a person read it; the change ticket assumes a person filled it out. An autonomous agent breaks all of those at once — it can open a thousand pull requests or issue a thousand refunds in the time it takes a human to read one alert. The industry’s answer has been to watch harder: more guardrails, more evals, more dashboards. But watching is after the fact. By the time an anomaly surfaces, the git push already happened.

Adjacent systems answer whether an action is permitted, whether the output looks safe, or what happened. None of them answer whether the action matched what was intended, here and now, before it ran. That is the gap autonomous systems cannot close on their own — and the only one we build for.

An open layer, a runtime, and one invariant.

We do not replace your stack. We answer the question it skips.

We are not a policy engine, a guardrail, or an observability platform — those are necessary, and we sit alongside them. We are not a model provider, and we do not train on your traffic. We are the layer that interprets an agent’s proposed action, anchors it to a canonical intent, scores it against your process and risk thresholds, and decides before execution — then seals that decision into a cryptographically signed, replayable chain; per-tenant public-key (JWKS) verification is live. One question, answered at the only moment it matters.