#sios

SIOS runs as three separate systems: our cloud, the customer's server, and the user's workstation....

A Sovereign Intelligence Operating System is enterprise AI that runs entirely on hardware the operator owns, offline, with every action cryptographically sealed into an audit ledger the operator can v

One assistant that runs every department is an operator, not a chatbot. It carries out real work across finance, legal, human resources and operations from one point of control, and seals every action

Sovereign AI in 2026 is built by four approaches: owned-stack systems, sovereign clouds, private-tenant hosting and national model programmes. They differ in how much control stays onshore and who can

A fully offline AI with an immutable audit trail runs entirely on operator-owned hardware with no outbound connection and seals every action to a post-quantum signed ledger. Mickai is built as one suc

A sovereign intelligence operating system is an operating system for AI that runs offline on operator-owned hardware and seals every action in a post-quantum signed audit chain. A private LLM gives yo

Many organisations cannot lawfully pool sensitive data centrally, yet still need shared intelligence. This piece explains how a federated design keeps records on each site, shares only what is permitt

The standard sovereign assistant ships with the SIOS: ask anything, do what every studio does, offline. It retires per-seat cloud assistants, swaps token meters for the cost of electricity, and gives

Plutus consolidates a sprawling multi-vendor finance stack onto hardware you own, ends per-seat and per-token metering, and signs every ledger entry and forecast so the savings hold up under audit.

Iris is the customer service studio inside Mickai, our Sovereign Intelligence Operating System. It retires the Zendesk and Salesforce Service category, handles volume without per-seat licensing, keeps

Basel asks banks to prove their models, prove their use and prove they still work. AI makes that question harder, because the model moves and the moment of decision is easy to lose. Signed lineage, at

Federated learning promises intelligence without moving your data, yet it still binds you to nodes, schedules and update paths you do not own. We make the case for the opposite crossroads: one soverei