AI consulting
A short engagementthat tells you what is actually buildable
Before a build, a two-to-three week assessment: what your data can support, what the model layer costs at your volume, and which of your ideas is worth doing first. You leave with an architecture and an estimate, whether or not you build it with us.
500+
Projects delivered
most under NDA
100+
Clients served
5 regions
5
Systems live
in production now
—
Clutch rating
awaiting verified score
What we build
The work itself,component by component
Data readiness review
What you hold, where it lives, and what has to change before retrieval or training is viable.
Use-case scoring
Each candidate ranked by value, effort, and risk — with the ones we would not build called out.
Reference architecture
The actual diagram: services, storage, model routing, and where your data crosses a boundary.
Cost modelling
Token, inference, and infrastructure cost projected at your real volume, not a demo's.
Build-or-buy
An honest read on which parts should be an off-the-shelf product instead of custom software.
Delivery plan
Phases, dependencies, and what shipping means for the first one.
Why it matters
What changesonce it is running
Three things a buyer of this work should be able to hold us to.
No sunk cost — You find out a use case is not viable in week two, not month six.
Yours to keep — The architecture and estimate are your documents regardless of who builds it.
Engineer-led — The assessment is run by the people who would build it, so the estimate is a commitment rather than a guess.
Stack we use for this
- Architecture review
- Cost modelling
- Data audit
- Prototype
How it runs
Four stages,and you can leave after any of them
Scope
We agree what the system does and what shipping means, in writing.
Build
Short cycles in your repository, running before it is finished.
Ship
Deployed into your cloud account, reachable by a real user.
Stay
Maintenance and roadmap by the same engineers who built it.
Proof
The systemsthat back this page
FAQ
Questionswe get asked
How long does it take?
Two to three weeks for most scopes, depending on how many systems we need to look at.
Do we have to build with you afterwards?
No. The deliverable is standalone and detailed enough for another team to execute.
Will you tell us not to build something?
Regularly. A use case that fails on data quality or unit economics is worth killing early.
AI consulting