Private AI Infrastructure,
Built for Your Business
We design, build, and operate AI agent systems that run entirely on your hardware. Your data never leaves your network. Your models are swappable. Your agents are guarded, traced, and audit-ready.
Who We Work With
Legal Practices
Client privilege is non-negotiable. We build agents that process documents, draft, and research on your local hardware — no data leaves the firm, no third-party API sees a client's file.
Financial Services
Regulatory scrutiny means every decision needs an audit trail. Our harness traces every LLM call and tool invocation, giving your compliance team a replayable log — not a black box.
Healthcare Administration
HIPAA isn't a feature you configure. It's an architecture decision. We build systems where PHI stays on your network by design, not by policy.
What We Deliver
Private LLM Runtime
Ollama or vLLM on your hardware, tuned for your hardware and your workload. We select, benchmark, and configure the right model for your use case — not the biggest model.
Agent Harness
The Agentice Stack — our open-source, MIT-licensed harness. Model-agnostic by design. Your agents don't care which model they run on; that's a config change, not a rewrite.
Guardrail Layer
Iteration caps, token budgets, cost circuit breakers, repetition detection, and human approval gates on sensitive actions. Your agent can't run away with your budget.
Decision Tracing
Every LLM decision and tool call logged in JSONL format. Replay any run, audit any decision, answer any compliance question with evidence.
How It Works
Discovery
We map your use case, your data boundaries, and your compliance requirements. We tell you honestly if a private LLM is the right fit — or if a hosted model with guardrails is simpler.
Build
We deploy the runtime, wire up the harness, configure guardrails, and integrate with your existing systems. You get working software, not a whitepaper.
Operate
Ongoing support, model updates, guardrail tuning, and tracing review. We stay involved because the value is in the operation, not just the deployment.
Ready to Run Agents on Your Own Hardware?
Tell us about your use case. We'll tell you honestly whether a private deployment is the right call — and what it would take.
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