01
Compute
Begin inside your environment.
A maintenance request reaches your private model through an authenticated gateway. The model runs on infrastructure sized for the workload.
Private AI infrastructure & agent systems
Running a model locally solves only one part of the problem. We build the surrounding infrastructure that turns private models into useful company systems: knowledge, memory, agent orchestration, governed tools, identity, evaluation, monitoring, and operational ownership.
Inside the workflow / Illustrative example
Follow a maintenance request through private compute, company knowledge, a governed harness and an approved system update.
Compute
A maintenance request reaches your private model through an authenticated gateway. The model runs on infrastructure sized for the workload.
01
Compute
A maintenance request reaches your private model through an authenticated gateway. The model runs on infrastructure sized for the workload.
02
Company Brain
The approved maintenance manual supplies the procedure, its version and the source citation.
03
Agent harness
The harness selects a bounded ticket tool and pauses for a supervisor before a business-system write.
04
Agentic endpoints
A scoped interface updates the existing service ticket. The system of record stays in place.
05
Control
The approved work order retains its source, approver and audit event. Identity and control span the entire path.
What we engineer
Workload benchmarking, hardware architecture, private inference, storage, networking, model serving, routing, and monitoring.
Permission-aware company knowledge, citations, memory, provenance, synchronization, and specialist context for people and agents.
Instructions, tools, memory, subagents, routing, approvals, sandboxing, evaluation, fallback, and release controls.
MCP, APIs, databases, webhooks, events, and controlled browser interfaces into the systems your company already owns.
Identity, permissions, secrets, audit events, human approval, backups, recovery, regression testing, and managed operation.
Start with proof
We map the work, test model and capacity requirements, design the controls, and define a practical implementation.