5%
of custom enterprise AI tools reach production: 60% are evaluated, 20% piloted, 5% shipped. The model was rarely the problem. The delivery was.
MIT NANDA, July 2025For enterprise
Pilots stall.
We ship to production.
For enterprise teams buried in pilots that never reached production. We embed senior engineers with one team, ship a real system in weeks, and hand it over in your cloud. You own everything. Nothing depends on us.
01The pilot graveyard
You have run this experiment before.
The enterprise AI problem is not a shortage of ambition or budget. It is that the work stops at the demo. The numbers are consistent, and they are about delivery, not models.
1 in 4
respondents have moved 40% or more of their AI pilots into production; 54% expect to reach that level in the next three to six months. Pilot fatigue is what the rest live with.
Deloitte, January 2026$2.7T
in worldwide AI spending forecast for 2026, up 49.5% in a year. The budget is there. The systems in production are not.
Gartner, September 2026The deployment gap is a delivery problem. We work exactly where it opens.
02What we are not
Ship, don't advise.
Not a deck
Our only deliverable is a running system with real users on real data. Analysis, architecture and a plan are inputs to that, never the output.
Not a platform
No product to adopt, no seat licenses, no vendor to renew. We build the system your workflow needs and leave it in your hands.
Not a year
We start with one team and one problem, and ship to production in weeks. Prove it where the work happens, then decide what comes next.
One team · one system · production in weeks
03Security
Ownership is the posture.
The safest vendor is the one that leaves nothing behind.
Most vendor risk exists because the vendor holds your data and runs your system, indefinitely. Our model removes that surface. The system runs in your cloud, on your access controls, with the cloud and model providers you choose, under your accounts. When we leave, our access ends and we keep no copy. There is far less to review, because there is far less to trust us with.
How we work with enterprise
Procurement-ready
- T-01You own everything, in your cloudCode, prompts, infrastructure, and evals live in your repositories and your accounts from day one. Our access is scoped and ends at handover, and we keep no copy of your data or code after it.
- T-02Least-privilege access, revoked at handoverWe work inside a scoped, auditable access grant, and it ends when the engagement does.
- T-03Your data stays in your accountsNothing needs to leave your cloud, and your data is never used to train models.
- T-04Your repositories, from the first commitThe work is built where you already own it, and the IP in each phase is yours when that phase is paid. No shared repos, no our-keys, no dependency that breaks when we leave.
- T-05We work under your NDA and MSAYour paper, your terms. Certification requirements are scoped into the engagement where they apply.
- T-06We build inside your infrastructureYour cloud, your identity and SSO, your security controls, and the tools you already run. We adapt to your environment instead of forcing our own platform onto it.
- T-07Your team can run and extend itCapability transfer is part of handover. Your engineers can change and grow the system without us, so there is no dependency to renew.
04How to start
One team. One system.
You do not have to buy a transformation program to work with us, and you should not. Pick the team with the problem that hurts most, the one with a real owner and reachable data. We embed there, ship a system to production, and hand it over. The people who scope it build it: senior engineers, start to finish. That is the proof. What happens next is your call, made on something running, not a slide.
The first conversation is a 30-minute Workflow Audit. We confirm whether the problem is a fit, and if it is not, we say so. There is no public pricing because scope is fixed per engagement and quoted after that call.
We work with teams in the UK, Ireland, the EU and the US, remote-first. Forward-deployed engineering began inside large organizations, with a team and a problem. The unit of work has always been one problem with an owner, not an org chart.
05 · Start
Put an engineer
on the problem.
Start with our Discovery Agent: a handful of questions, a structured brief, and a Workflow Audit time on the calendar, confirmed on the spot when the brief is clear. Prefer to skip the conversation? Request a time directly and we confirm within one working day.