The people who pitch it are the people who build it
No account layer, no hand-off to juniors, no one learning on your budget. The senior engineers on your first call are the ones writing the code six weeks later.
Taking two new engagements this quarter
We make AI how your business runs
Your end-to-end AI transformation partner. We find where AI pays off, build it into daily operations, and stay on as it spreads — with senior engineers from the first call to go-live.
30 minutes with the engineers, not a salesperson. We'll tell you if it's not a fit.
ai-division://runtimeIn production
01
Ingest
Your data, your systems
02
Reason
Models under evaluation
03
Act
Into the tools you use
GuardrailsEvalsObservabilityHuman-in-the-loop
Teams we've taken to production
- StudentQR
- PBLSH
- Braintree Technologies
- The Mantra
- Alomaid
How it works
A transformation gets done one workflow at a time
Not a two-year programme or a company-wide rollout. We prove it somewhere it matters, then take the next one — with the same people through all three phases.
01
Find
A week mapping where AI actually pays off across your operations — and saying plainly where it doesn't.
02
Build
A working system in your environment, in front of real users, inside six weeks.
03
Spread
We stay on: taking the next workflow, and keeping the last one earning while we do.
Why us
Most AI transformations stall right after the pilot
The demo lands, everyone is pleased, and then nothing reaches the business. We're built around the part that actually decides it — getting AI into daily operations and keeping it there.
Runs on what you already have
We build inside your systems and your security boundary. Nothing to migrate, no new vendor to manage.
You'll know whether it's working
Every change ships behind an eval suite, so improvement is measured rather than claimed.
It spreads instead of stalling
Models drift, workflows change, and real usage never matches the pilot. We stay on to keep the first system earning while the next one goes live — which is the whole difference between a transformation and a pilot.
Tell us where the business hurts. We'll tell you if AI fixes it.
Thirty minutes with the engineers who'd actually build it. You leave with an honest read on whether it's worth doing, what it would take, and what it would cost.