Trust surfaces
Governance-Grade Integrations
AI factories, enterprise SSO, evidence sources, cloud model providers, security telemetry, developer frameworks. Same Kura/Kadai contract across deployments.
Governance-Grade Integrations names the systems Kenshiki Labs already plugs into — and the ones it is building toward. The integration surface spans AI factories (NVIDIA, AWS, Azure, GCP), enterprise identity (Okta, Entra, Ping, SCIM 2.0), evidence sources (SharePoint, Box, Confluence, S3, Salesforce, Snowflake), cloud model providers (Azure OpenAI, Bedrock, OpenAI, Anthropic, Google), security telemetry (Datadog, Splunk, Elastic, Wiz), and developer frameworks (LangChain, LlamaIndex, OpenAI-compatible clients). The contract is constant: same Kura corpus boundary, same Kadai inference, same Claim Ledger signing — whether the deployment is Workshop, Refinery, or Clean Room.
These are the systems Kenshiki Labs already plugs into — or is building toward. AI factories, enterprise identity, evidence sources, cloud model providers, security telemetry, and developer frameworks. Same Kura/Kadai contract whether you're in Workshop, Refinery, or Clean Room.
AI Factories & Infrastructure Control Planes
The same three-plane architecture that runs in Workshop also runs inside private factories and air-gapped environments. To get factory-level leverage, Kenshiki Labs integrates with AI grids and infrastructure control planes that orchestrate GPU fleets and agents.
- NVIDIA AI Grid Decision & Policy Engine — calls Kenshiki Labs to incorporate evidence boundaries, SIRE scopes, and regulatory constraints into routing decisions
- NVIDIA AI Factory (including government variants) — treats Kura and Kadai as the governed inference layer inside the plant: evidence stays inside governed storage, models run behind Kadai with Compiler, Ledger, and Boundary Gate enforcing no evidence, no emission
- HPE / Dell / Cisco AI factories — reference designs that wrap GPU racks, storage, and networking into turnkey AI plants, with Kenshiki Labs as the governance layer for inference
- ClearML, PaletteAI, and similar infra control planes — these decide where and how workloads run across GPU fleets. Kenshiki Labs adds what they are allowed to see and say, based on Kura evidence and SIRE boundaries
Go deeper
Architecture
The bounded-synthesis pipeline, output states, and three-plane topology that these integrations plug into.
Workshop
Start with shared Kadai or your existing model APIs. Integrations work here first.
Refinery
Private deployment with stronger controls and telemetry at the model boundary. SSO and evidence connectors apply here.
Clean Room
Air-gapped, hardware-rooted, independently verifiable. Identity resolves entirely inside the air gap.