Services

AI Systems, Engineered to Production

We design, build, and hand off the AI systems your roadmap calls for. Your team keeps the code and the knowledge to run it.

What We Build

Six Service Areas

Each one delivered as working software in your stack, not a proof of concept.

Agents that read, decide, and act inside your systems, with approval steps wherever your team needs them.

Search and question answering over your documents, tickets, and records, grounded in sources your team can check.

Ingestion, cleanup, and sync across the tools your teams already use, so models work from current data.

AI features shipped inside your product: model calls, streaming interfaces, guardrails, and cost controls.

Test sets, benchmarks, and monitoring that show whether a change made the system better or worse.

Phone, text, and email workflows with transcription, routing, and a clean handoff to people.

Standards

The same four commitments apply whichever engagement model you choose.

Everything we write lives in your repositories, under your accounts, from the first commit.

Each system ships with an evaluation set and the numbers that show it works.

Tracing, logging, and cost reporting are part of the build, not an afterthought.

Architecture notes, runbooks, and a walkthrough with the engineers who take it over.

Process

A written scope first, working software in increments, and a clean handoff at the end.

Step 1

We map the workflow, the data, and the constraints, then write a scope you can approve.

Step 2

We design the system and agree with you on how success will be measured.

Step 3

We ship in short increments, with a working demo at the end of each one.

Step 4

You get the code, the documentation, and engineers who know how to run it.

Share the system, the timeline, and the team you have today. We will come back with a scope and a recommended engagement.