Systems
Private AI Platform
Deploy private or hybrid inference, multi-model routing, enterprise knowledge, permissions, workflow orchestration, evaluation and operating controls.
Internal lab evidence · Not client results · Q2 2026 test cycle
How you probably do it today
Your team wants to use AI, but company policy says client data, contracts and financials cannot be pasted into outside tools. So one of two things happens: nobody uses it and nothing gets faster — or people use it quietly, and you do not know.
What this is costing you
The second case is the real risk. Banning the tools does not remove the risk. It just makes it invisible.
What it looks like connected
- Models run where you control them: your own infrastructure or a designated cloud region
- Your company knowledge base connects, and permissions follow the person — sales cannot see finance
- The right model is selected per task, with cost tracked
- Sensitive operations require human approval
- Who used what, and asked what, is all auditable
What we have measured
Multi-model routing across 3 model families sustained under continuous internal load, with per-task cost tracking. Private knowledge retrieval evaluated on a 10,000-document internal corpus with permission-scoped access checks.
Internal lab evidence · Not client results · Q2 2026 test cycle
A good fit if
Compliance requirements, or data that is itself your competitive advantage — client lists, formulas, pricing models, case files.
Not a fit if
Public data, a small team and no audit requirement — off-the-shelf tools are the better economics, and that is what we will recommend.
How it operates
One governed flow, with people in control.
Workflow
infrastructure and model setup → knowledge ingestion with permissions → workflow orchestration → evaluation → operating controls.
Engagement
typically starts with an infrastructure diagnostic and one governed use case, then expands as operating capability matures.
Designed to improve
knowledge access, governance, model choice, cost visibility and reuse.
Human control
access, knowledge publication, model changes and high-impact use cases.
Explore
Other systems.
Discuss Private AI.
Tell us which workflow is costing time, quality or visibility, and we will assess what scope fits.