Run autonomous AI agents...
- under governance you own
- on infrastructure you control
- with every model call named and logged
Built for enterprises ready to unlock the potential of AI agents.
Three questions that stall enterprise AI
Every enterprise AI deployment stalls on the same three questions. MyntriqOS is designed against them, not around them.
Where does the data go?
Every prompt, document and output is handled under a disclosed data policy: every provider that processes model calls is named in the Subprocessor List, with its training and retention posture recorded and dated.
What happens when the agent is wrong?
Delegated authority caps the blast radius, and every action can be traced, paused or rolled back before it compounds.
How do we prove it to an auditor?
Immutable, exportable logs turn every agent decision into evidence — not a claim you're asking them to trust.
Observable. Constrainable. Reversible.
Observable
Every agent action is logged, searchable and exportable — nothing runs in the dark.
Constrainable
Delegated authority sets exactly what an agent may do — and what it may never do alone.
Reversible
Every action traces back and can be undone — autonomy without a one-way door.
What It Runs
MyntriqOS ships with six governed agents built around common enterprise functions. Every one of them — and every agent you add after — runs under the same delegated authority, logging and residency controls.
Access policies across 88 tables
Governed business intents
Versioned skills powering the agents
Where platform data is hosted
See it work on your own use case.
The evaluation environment runs on synthetic data only — no customer or staff records are involved.