AI engineering services for production AI systems.
We help teams design, harden, and operate multi-user AI systems. Our work covers agents, MCP integrations, model gateways, guardrails, budget controls, observability, and evals. This is engineering work for live systems, not generic AI strategy.
Four ways to work with us.
AI Production Readiness Audit
Find the control gaps before launch, expansion, or vendor change makes them expensive. We assess your system against the seven layers and produce a technical roadmap with priorities, owners, and clear next steps.
Request an Audit → 02Multi-User Agent Hardening Sprint
Stabilize the AI system you already have. We tighten model access, tool permissions, guardrails, traces, and eval coverage so the system can handle real users and real failure modes.
Book a Sprint → 03Model Gateway + MCP Control Plane Build
Put models and tools behind one control layer. We design and implement the model gateway, tool authentication, permission model, budget limits, and observability hooks needed for safe scale.
Plan the Build → 04Fractional AI Reliability Partner
For teams shipping AI continuously and needing regular technical oversight. We review incidents, replay traces, tune evals, assess model changes, and help guide production decisions month to month.
Talk About Ongoing Support →What every engagement is built on.
Our work is grounded in the seven control layers of production AI: model control, prompt operations, guardrails, budget governance, tool governance, observability, and evals. That framework gives you a consistent way to review architecture, assign ownership, and improve reliability over time.
Not sure which service fits?
Take the AI Production Scorecard to get a fast baseline, or book an architecture review if you want to talk through the system with us directly.