Most “AI” pitches are a demo that never ships. We start from the boring, valuable end: the repetitive work your team does every week, and the questions they keep asking the same documents.
Then we build the smallest thing that removes that work reliably — grounded in your data, measurable, and safe to hand to real users. If a plain script or a better process beats a model, we’ll tell you.
Assistants, copilots, and agents wired into your product and tools — scoped so they’re useful, not just impressive.
Connect the systems you already use and automate the hand-offs between them — reliably, and visible when something breaks.
Answers drawn from your own docs, tickets, and code, with citations — so people trust the reply and can check it.
The plumbing underneath: clean data, evaluation, monitoring, and a way to improve models once they’re live.
Deployed in your environment, not a slide deck or a notebook.
Tests for accuracy and safety, so you know when it’s good enough — and when it isn’t.
How it works, how to change it, and what to watch. Written for humans.
Dashboards and a clean hand-over so your team can own it. No lock-in.
Two weeks to map the workflow, the data, and whether AI is even the right tool.
A working slice against real data, measured — so we’re deciding on evidence, not vibes.
Harden it: evaluation, guardrails, and the integrations to put it in front of users.
Monitor, improve, and hand over cleanly whenever you’re ready to take the wheel.
We’re not religious about the stack — we pick what fits the problem and what your team can maintain.
Book a 30-minute conversation with the people who’d actually build it. We’ll tell you honestly whether it’s worth doing — and how we’d start.