Foundation
Q3 2026Tenancy, identity, isolation, and the infrastructure primitives every layer above depends on. The AI runs in your cloud, on your terms, with no shared boundary to ours.
Explore Layer 1The Architecture
The Layers.
Five layers between your data and your AI — tenancy at the bottom, governance at the top. Each one is designed, deployed, and operated by ism3, on your private cloud, and audited end-to-end. Layer 3 is published; the rest follow through Q3 2026.
Orchestration
Q3 2026Routing, model selection, and prompt management — the right model and the right context for the right query.
Explore Layer 2Data + Retrieval
LiveTenant-isolated retrieval architecture — chunk-level access controls, citation-traceable answers, compliance-aware RAG.
Read the whitepaperApplication
Q3 2026User-facing surfaces and integrations — concierge widgets, intake interfaces, and operator consoles tuned for regulated workflows.
Explore Layer 4Governance
Q3 2026Audit trails, citation provenance, attribution — every decision the AI makes is traceable, accountable, and reviewable end-to-end.
Explore Layer 5How engagements work
Operated, not delivered.
The stack is not a product you license — it is infrastructure we insert into your enterprise and stand behind. Every engagement begins with a workflow inventory, lands in your tenancy, and stays under audit from the first query.
Talk to architects