Authority needs a boundary.
The model assumed software held credentials. Agents now hold them and act for people.
Super Intelligence Coordinator
Agents act for people. Trust should travel with the action.
siCoord is a neutral trust plane for AI agents. It governs each action and carries evidence of what ran.
Talk with us
In development · no public release
01 / The problem
Agents have changed the trust question.
Agents hold credentials and act for people. The internet’s identity model assumed the credential holder was deterministic software.
Rules need to hold.
An agent can be talked out of its own rules by the data it reads.
Claims need evidence.
A large model’s output cannot be re-run to check it. “Which model produced this” remains an unverified claim.
02 / What siCoord does
Three jobs. Clear outcomes.
Enforcement, discovery and dispatch, and verifiable execution.
Decisions an agent cannot argue with.
Every action is subject to deterministic authorization, consent and revocation. Evidence accompanies every decision.
Find a service. Approve an action.
An agent describes its data and needed outcome. siCoord proposes fitting services and action contracts. The person approves; siCoord validates and carries out the request.
Evidence others can check.
Portable evidence records what ran, for a third party to check without trusting the operator.
03 / Principles
Trust should serve the person.
Evidence formats are open and royalty-free.
siCoord charges for verification, custody and evidence, never for watching users.
Every security control ships on by default.
Who it is for
Teams embedding copilots and agents in software products. Teams connecting agents to real systems. Anyone who must prove which model ran.
Early design partners wanted
Help shape what comes next.
siCoord Inc. was founded in 2026 in Cape Coral, Florida. If your team connects agents to real systems, get in touch.