AI agent development
Goal-driven agents with tools, memory and hard guardrails. They read your systems, take actions, hand off to a human when confidence drops, and log every decision they made.
We map the work your team repeats, then build and run the systems that do it: custom agents, workflow automation and retrieval over your own knowledge. The leverage of a senior AI hire, without the headcount.
We build around your workflow, not around one vendor's API.
Three ways in: automate the work your team repeats, build the product around it, or embed our engineers alongside yours. Usually all three, in that order.
Goal-driven agents with tools, memory and hard guardrails. They read your systems, take actions, hand off to a human when confidence drops, and log every decision they made.
The unglamorous plumbing that makes the rest possible. n8n, queues, retries, idempotency, webhooks and the twelve edge cases nobody wrote down.
Answers with citations, or no answer at all. Chunking, hybrid retrieval, permissioning that respects who is allowed to see what.
Full products, not demos. Streaming interfaces, model routing, cost ceilings, offline evals and a deployment story your team can maintain.
Senior AI engineers in your standups and your repositories, plus a ranked roadmap for the quarters after this one.
Four phases, each with something you keep at the end. The audit is free; everything after it is fixed-price, quoted up front. Most teams have a pilot live inside eight weeks.
A free 30-minute call, then a working session on your real process. We map the workflow, count the handoffs and rank what is actually worth automating.
What we build first and what it replaces. Where your data is allowed to go, which models run where, and a fixed price for each phase before anyone writes code.
Agent, tools, guardrails and the boring reliability work. Shipped behind a flag to one team, with evals, traces and cost caps on from the first request.
We watch it settle, tune the thresholds and extend it to the next workflow, or teach your engineers the whole thing and leave. Both are fine outcomes.
A customer emails about a double charge. Follow the agent through each step, from reading the email to sending the refund. A person steps in only when it isn’t sure.
Hi, I think I was charged twice for invoice #4471 on the 3rd. Can you fix it before our month-end close on Friday? Thanks, Dana
Waiting for a ticket…
Nothing written yet.
The kit we build and run with, and a straight answer on who pays for what. Anything billed by usage or holding your data goes in your name, so you own it outright when we step back. The rest is open source.
Straight answers to what people usually ask on the second call.
Embedded. Our engineers sit in your standups, work in your repositories and ship through your review process, so the context stays with your team and the work doesn't arrive over the wall at the end. You get the leverage of a senior AI hire without adding headcount.
It's designed to get things wrong quietly and visibly. Confidence gates, allow-lists on side effects, dry-run modes, and a full trace of every tool call. Anything irreversible needs a human, by default, until you decide otherwise.
Only if you want it to. We build against your keys and your accounts, and where policy or regulation says data stays in, we run open weights on your infrastructure instead. That decision gets made in week one, not discovered in month two.
You do, from the first commit, in your repositories. No wrapper platform, no per-seat license on your own automation, no hostage situation if you'd rather take it in-house.
Fixed price per phase, quoted after the audit, so you're never buying an open-ended hourly commitment. The first call is free, pilots are deliberately small, and if the audit says automation is the wrong tool, we say so and there's nothing to buy.
The audit is a 30-minute call and then a working session on your real process. Build work starts once the roadmap and the fixed quote are signed off, usually the week after.
Thirty minutes, no deck, no sales pitch. Describe the process, we'll tell you where an agent fits, where it doesn't, and what the first eight weeks would look like.