Digital twins

Twins that remember, relate, and react

A Sherivs twin is a governed digital model: identity, state, relationships, and events, with computation on change or on a schedule.

Administrative twin surfaces exist in the application. A complete twin runtime is in development.

Device and IoT twins are outside the current public product envelope.

Identity and governance
Available today
People, organizations, and agents are first-class identities. Access is resolved from identity, membership, role, and policy — not from the interface alone.
Institutional computing
Available today
A shared operating environment where an organization's people, records, and workflows live together instead of in disconnected tools.
Agent orchestration
In development
AI workers can be given bounded tasks inside permissions and human oversight. They are not unrestricted administrators and cannot expand their own access.
Digital-twin runtime
In development
Twins are intended to hold identity, state, relationships, and events, then compute on change or schedule. A complete twin runtime is not a finished public product.
Intelligence and model routing
In development
Model access is designed to go through a governed AI gateway so prompts, cost, and safety are not scattered through the product.
Execution and event processing
In development
Work should move as observable events and missions, not as untracked side effects. Event processing is present in parts of the platform and still deepening.
Data and memory infrastructure
In development
Canonical records stay separate from derived intelligence. Predictions must not silently overwrite verified state.
Observability and assurance
Available today
Operators need health, audit, and verification. A public status page reports machine health without leaking internals.

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