Private AI Platform for Sensitive Workloads
Build and operate on-prem or hybrid AI systems with strict data boundaries, auditable context access, and operational observability designed for production teams.
How the portfolio fits together
FlexInfer focuses on operational readiness in private environments: repeatable deployment controls, healthcare-aligned integration tooling, and a roadmap for enterprise context governance.
FlexInfer
Kubernetes-native routing, deployment controls, and operational workflows for predictable on-prem or hybrid inference.
- Deployment boundary
- Model runtime placement, rollout safety, and capacity controls inside your cluster boundary.
- Integration boundary
- Inference APIs and platform operations remain inside your network and observability stack.
Loom Core
Registry-driven MCP config generation, daemon routing, and enterprise context controls roadmap (gateway, RBAC, executor).
- Deployment boundary
- Centralizes MCP server lifecycle and policy boundaries for internal tools and agent access.
- Integration boundary
- Defines how agents reach internal systems with auditable routing and least-privilege intent.
fi-fhir
Healthcare-focused ingestion and transformation workflows (HL7v2 to FHIR) with profile-driven, testable data handling.
- Deployment boundary
- Data transformation pipeline runs in your controlled environment and deployment topology.
- Integration boundary
- Profile-driven mapping and validation isolate source variability while preserving operational traceability.
Operator mission-control surfaces
Loom Core governs context and policy boundaries. MentatLab adds the operator-facing orchestration UX for DAG design and run visibility.
MentatLab
Mission Control interface for building, monitoring, and executing DAG-based agent workflows in private environments.
Loom Core governs context routing and policy boundaries; MentatLab provides the operator UX for DAG design and run visibility.
- Deployment boundary
- UI, gateway, and orchestrator services run inside your Kubernetes footprint alongside internal agent workloads.
- Integration boundary
- Connects orchestration workflows to internal MCP-governed tools and runtime services without moving data to shared SaaS control planes.
Current foundations and in-progress controls
Gateway, RBAC, and Kubernetes executor capabilities are currently in progress. Operational foundations are available today.
Healthcare-aligned implementation stories
A healthcare-first proof path demonstrates how this portfolio handles sensitive data transformations and operational reliability in private environments.
fi-fhir healthcare integration workflows
Profile-driven parsing and transformation for HL7v2 and FHIR in production-oriented workflows.
Operationalizing healthcare API integrations
Reliability patterns for long-lived, partner-facing integration surfaces under operational pressure.
Move from positioning to execution
Start with a readiness audit to baseline risk, cost, and deployment constraints. Then scope architecture work for your environment.