Foundation
Q3 2026Tenancy, identity, isolation, infrastructure primitives. The AI runs in the client's cloud, on the client's terms, with no shared boundary to ours. Whitepaper Q3 2026.
Regulated AI Infrastructure
The five Layersof regulated AI.
Architecture for enterprises where wrong answers have consequences.
Built for regulated enterprises
HealthcareHIPAA-aware, BAA-ready
Legal ServicesPrivilege-protected, work-product preserved
Financial ServicesAudit-traceable, compliance-tier ready
Five Layers between
your data and your AI.
Each Layer is designed, deployed, and operated by ism3. Foundation up — tenancy at the bottom, governance at the top. Layer 3 is published; the rest are in development through Q3 2026.
Orchestration
Q3 2026Routing, model selection, prompt management. Coordinates the right model and the right context for the right query. Whitepaper Q3 2026.
Data + Retrieval
LiveTenant-isolated retrieval architecture. Chunk-level access controls, citation-traceable answers, compliance-aware RAG. Whitepaper available.
Read the whitepaperApplication
Q3 2026User-facing surfaces and integrations. Concierge widgets, intake interfaces, and operator consoles tuned for regulated workflows. Whitepaper Q3 2026.
Governance
Q3 2026Audit trails, citation provenance, attribution. Every decision the AI makes is traceable, accountable, and reviewable end-to-end. Whitepaper Q3 2026.
Operated, not delivered.
Built and operated end-to-end
Architecture, deployment, and ongoing operation — under one roof. Not a delivered codebase. Managed infrastructure.
Deployed in your tenancy
On your private cloud. Your AWS account. Your data plane. Client data never crosses ism3's environment.
Audited Layer by Layer
Every decision the AI makes is traceable through the Governance Layer. Citation provenance, attribution, immutable trails.
Regulated experience, not aspiration
Built for healthcare, legal, and financial services from day one. Compliance is the baseline — not the upsell.
FAQ
Common questions
ism3 designs and operates regulated AI infrastructure for enterprise clients. We build custom retrieval and orchestration systems on each client's private cloud, with end-to-end audit trails. Each deployment is layered across five distinct architecture layers: Foundation, Orchestration, Data + Retrieval, Application, and Governance.
Mid-market enterprises in regulated industries — primarily healthcare, legal services, and financial services — where AI handles sensitive data and where wrong answers carry real liability.
In your tenancy. ism3's architecture deploys in your private cloud (typically AWS Bedrock under your account). Your client data, query logs, and retrieval indices never cross ism3's environment.
No. ism3 uses major foundation-model APIs (Anthropic, OpenAI, AWS Bedrock) under your cloud account. We do not train, fine-tune, or host models — and your data never leaves your tenancy for any purpose.
Typical RAG implementations focus on Layer 3 (Data + Retrieval) only. ism3 builds and operates all five layers together — from tenant isolation at Layer 1 to citation-provenance audit at Layer 5. The result is regulation-ready, not retrofit-compliant.
BigCo platforms are general-purpose. ism3 is purpose-built for regulated industries where the architecture must be auditable layer-by-layer and where the client retains full data tenancy. The model is closer to managed infrastructure than to platform licensing.