Platform / Architecture
The intelligence cluster architecture for governed execution.
NeuroCluster is organized as eight product layers within one governed intelligence cluster — operated through seven control planes and enforced by a governed execution path every action must pass through.
Governed execution path
Every runtime action resolves identity and tenant context, resolves the AI resource, checks permissions and policy, executes in scoped runtime, emits trace and audit events, and stores evidence metadata.
This is the kernel contract — not a Linux kernel, but the execution path that prevents the platform becoming a loose collection of services.
Control planes
Identity, Model, Agent, Data, Policy, Runtime, and Observability control planes provide centralized control over resources, permissions, execution, and audit across the stack.
Shipped capabilities
- Experience → Console and admin surfaces
- Application → Apps, workflows, and UI archetypes
- Intelligence → Agents, models, RAG, tools, evaluation
- Data → Lakehouse, knowledge bases, semantic layer, vectors
- Integration → Connectors, webhooks, MCP, ETL
- Runtime & Compute → K8s, Firecracker, GPU, GitOps
- Identity & Security → OIDC, RBAC, tenants, Vault, SCIM
- Governance & Compliance → OPA, HITL, lineage, evidence packs