About
3003i exists because most enterprises don't need another slide deck. They need engineers who can model the data, wire the platform, and put the agent in front of real users.
The gap in most AI programmes isn't the model — it's everything underneath it. Unclear metrics, ungoverned pipelines, and platforms nobody can reason about.
We work the whole chain: cloud and Kubernetes at the bottom, data platforms and semantic models in the middle, visualisation and agents at the top. One team, one set of standards.
The result is systems that keep working after we leave — because your engineers helped build them.
The people in the discovery workshop are the people writing the code. No hand-off to a junior bench.
Open table formats, open standards, portable infrastructure. We earn repeat work, not lock-in.
Evals for agents, tests for models, SLOs for platforms. If we can't measure it, we don't ship it.
Documentation, runbooks, and pairing are part of delivery — not an optional extra at the end.
Weeks 1–2
Workshops with business and engineering. We map data reality, constraints, and the metrics that define success.
Weeks 3–4
A written design with trade-offs, a phased plan, and a cost model you can take to a budget conversation.
Months 2–6
Two-week cycles, weekly demos, production-bound from the first sprint. Your engineers embedded throughout.
Ongoing
SLOs, runbooks, on-call patterns, and a support taper that ends with your team fully in control.
Headquartered in London, remote-first, and delivering across the UK, EU, Middle East, and North America. We work in your time zone for core hours.
Fixed-scope discovery, then phased delivery or embedded team models. Clear deliverables, no open-ended retainers by default.
We publish, we open-source tooling, and we run internal evals on every model and platform we recommend.
Whether you're starting an AI programme or rescuing one, a short conversation usually clarifies more than a proposal.
Get in touch