AI proof-of-concept delivery
Pick a use case with real value, define what success looks like, and build a working proof-of-concept with LLMs, retrieval or agents, evaluated from day one.
Scope a proof-of-conceptAI proofs-of-concept, deployed by engineers who work inside your team
Blumoon embeds forward deployed engineers with your business to scope, build and ship AI proofs-of-concept on your real data and systems. Then we help you build the FDE capability to keep going without us.
What you walk away with
Every engagement is built around these outcomes. If a proof-of-concept can't deliver them, we'll say so before we start.
A proof-of-concept on your real data
Connected to the systems and data your business actually runs on, not a demo on sample files.
A clear go or no-go decision
Success criteria agreed up front and measured honestly, so you know whether to invest further.
Security and governance from day one
Access control, data boundaries and evaluation are part of the build, not a phase that comes later.
A team that can carry it forward
Your engineers build alongside ours, so the knowledge stays when the engagement ends.
What we do
Three kinds of work. All of it starts with a real problem your business wants to solve.
Forward deployed engineers
Engineers who sit with your users and teams, work through integration, security and access on your stack, and get the proof-of-concept into people's hands.
Embed an engineerFDE capability building
Stand up your own forward deployed engineering function, with role design, hiring profiles, playbooks, tooling, and coaching on live work.
Build your FDE teamFrom intake to impact
Four stages, each with a clear decision point. Short, focused, and measured against criteria you agree to.
01
Intake
Understand the problem, the users, the data and the constraints. Agree what success looks like.
02
Accelerate
Build the proof-of-concept quickly and iterate with real users against the agreed criteria.
03
Deploy
Integrate with your systems, harden security and access, and put it in front of the people it's for.
04
Report
Share results honestly, document the build, and hand it to a team that can run and extend it.
Why forward deployed? A forward deployed engineer writes production code but spends their time inside your organisation: learning the workflow, untangling the data, and making the case for what to build next. That's how proofs-of-concept become products rather than demos.
Talk to usHow we keep it grounded
AI work can move fast. It still needs to be honest about what works and safe for the people who rely on it.
Start a conversationBuilt on your reality
Your data, your systems and your security model, from the first week. No toy datasets.
Measured, not guessed
Success criteria and evaluations are agreed before we build and reported plainly at the end, including when the answer is no.
Capability that stays
Your engineers pair with ours. Architecture notes, runbooks and ownership transfer at handover.
Vendor-neutral
We choose models and tools to fit the problem, not a partnership agreement.