Enterprise AI Systems

Production AI your security team will actually sign off on.

Agents, retrieval over your private corpus, and LLM applications wired into your real stack — model-agnostic across Claude, GPT, and open weights, built with evals and guardrails from day one.

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What we deliver

Agents and retrieval, built to ship.

A dedicated, partner-led pod takes an AI mandate from architecture to a system your engineers run themselves — instrumented first, shipped in increments, every claim backed by an eval.

  • Agent design, orchestration, and evaluation harness
  • RAG over your governed private data with row-level access control
  • Human-in-the-loop review and guardrails where stakes demand it
  • Model-agnostic architecture (Claude / GPT / Llama / Mistral)
  • Prompt and model versioning with regression evals wired into CI
  • Cost, latency, and quality observability
  • Clean hand-off: runbook plus code ownership, no black box

How we're different

Governed from the first commit, not the last.

Dedicated teams, not fractional. No junior hand-offs. The discipline that keeps an agent safe in production is built in at the architecture stage — never bolted on before launch.

Governed, not bolted-on

Access controls, audit logging, and red-teaming are part of the architecture — not a phase-two retrofit.

Evals before launch

Every agent ships with a reproducible eval suite, so model drift and prompt regressions are caught before users see them.

You own it

Your engineers run the demo by the third sprint and own the runbook. No lock-in, no proprietary black box.

Selected outcome

Proof, not promises.

−68%
Resolution time

A governed support agent held up under real load and handled 41% of inbound without escalation; their own engineers were running it six weeks in.

// Anonymized engagement data; see more on the Work page.

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Ready to put Enterprise AI Systems to work?

Tell us the AI problem you actually need solved and the number it's tied to. We'll come back with a sharp architecture opinion and an honest read on whether it's production-ready or still a demo — within 2 business days.

Request a strategy call