Documentation
This is the in-product knowledge base for architects, security engineers, and application owners. It is written to answer diligence questions, not to hide product gaps behind marketing. Public SDKs and OpenAPI may ship alongside; this page is the source of how the system is intended to behave.
SoverAI is a control plane and regional runtime for agentic AI. You think in organizations, regions, environments, and agents. We do not conflate a global "workspace" with a legal home for your data. Every primary resource is parented under a region, and policies inherit consistently from that node.
Typical flows: (1) select regions that match your regulatory footprint; (2) connect identity and data plane touchpoints; (3) author agents from templates and attach tool allowlists; (4) promote through staging with pre-production checks; (5) run with observability, spend controls, and audit export enabled by design.
SoverAI exposes a typed RPC interface for the console and automation (HTTP under /api routes). Externally integrators can expect: machine-readable error shapes, idempotency keys for long-running changes, and explicit "region must match caller scope" rules on the server so misconfiguration is rejected early, not at inference time.
SoverAI is operated as an enterprise service: SLOs by tier, maintenance windows, health dashboards, and published incident practices. We treat your data plane and regional failures as a joint circuit between our platform on-call and your command center, not a black box status page.
—Status and incident comms: enterprise comms with named contacts and regulator-ready summaries when required.
—Runbooks: dry-run and tabletop alignment with your IR team in onboarding, especially for high-criticality systems.
—Decommission: explicit data and key retirement paths per region, with verification artifacts for exit.
The items below are representative of a funded enterprise roadmap — the exact order depends on customer co-development and regulatory priorities in your first regions.
We will map your data classes, model catalog, and regulator expectations to a deployable control-plane design — with exportable artifacts for legal and security stakeholders.
Or email enterprise@soverai.ai for a working session with product and field engineering