The investor ask
"They want proof, we have slides."
Investors fund evidence. Without something working, the conversation stays hypothetical and the round stays open.
The round stalls at the idea stage
POC development
Proof before budget.
A working proof of your idea, built small and tested on real data, in weeks. You get a demo you can show and a go or no-go verdict with numbers, before you commit the big budget.
POC status
Feasibility test · week 3
Riskiest assumption named
One question, agreed upfront
Working proof built
On your real data
Go / no-go verdict
With the numbers attached
Answer in weeks
Your data stays yours
Why this exists
The expensive way to find out is at the end.
Ideas fail months after the pitch, once the budget is spent, on the one assumption nobody tested first.
The AI promise
"It works in their demo. Will it work on our data?"
Vendor demos run on clean examples. Your invoices, tickets and product data are messy, multilingual and full of exceptions nobody demos.
Budgets approved on someone else's data
The long bet
"Six months in, we found out."
The full build starts, the hard problem waits at the end, and by the time it surfaces the money is spent and the team is committed.
The whole build to learn one answer
What you get
A working proof. And an honest answer.
Success criteria agreed before we start, so the verdict means something. Everything we build and learn is yours.
A demo that runs
Something you can click, show to investors or put in front of the board.
Tested on your real data
The messy, multilingual, exception-filled data you actually have, with accuracy measured against criteria we agree upfront.
A go / no-go verdict in writing
What worked, what didn't, with the numbers. A documented no is a result too: it just saved you the full build.
The path from proof to product
If it's a go: what carries over, what gets rebuilt properly, what it costs and how long to production.
Everything on your name
Code, results, findings and the report. NDA before anything, and your data never leaves you.
Verdict file
Example structure
Accuracy on your data
vs the bar we agreed
Cost to production
build + monthly running
Recommendation
go, no-go, or go-with-conditions
How we work
One assumption. One test. One answer.
A proof of concept fails when it tries to prove everything. We test the one thing that decides whether the rest is worth building.
01
Name the risk
A short call to find the riskiest assumption in your idea, and the success criteria that would settle it. Fixed quote in 48 hours.
02
Build small
The smallest thing that can answer the question, built in weeks. No polish where polish proves nothing.
03
Test on real data
Your data, your systems, your edge cases. Measured against the bar we agreed on day one.
04
Decide with numbers
Go, no-go, or go with conditions, in writing, plus the path and cost to production if it's a go.
3–4wk
To a working proof
48h
To a fixed quote
1
Assumption tested at a time
100%
Yours: code, results, report
FAQ
What people ask before starting.
How much does a POC cost?
A fraction of the build it protects. The free call scopes it and you get a fixed number in 48 hours. You're buying certainty: whether the big budget is worth committing.
What's the difference between a POC and an MVP?
A POC answers "can it work?". An MVP is the first version real customers use. Mixing them up is how projects die: stakeholders expect a product and get a feasibility test. We keep them separate on purpose, and if the proof holds, the MVP is a separate, properly scoped build. See web development for that step.
Why not build the real thing directly?
If the core assumption is untested, the full build is the most expensive possible way to find out it doesn't work. The POC asks the same question in weeks, for a fraction of the cost, before the team and budget are committed.
What if the POC fails?
Then it worked. You get a documented no with the numbers, you've saved the cost of the full build, and you can redirect the budget knowing why. That's the product you're buying: certainty, in either direction.
Is the POC code reusable, or do we throw it away?
Some of each, and we label which is which: what was scaffolding for the test, and what carries into the real build. The findings, the data pipelines and the verdict survive either way, and everything is yours.
Our data is sensitive. How do you handle it?
NDA before anything. The POC can run locally or in your own cloud, your data never leaves you, and everything is GDPR-compliant by default. Local versus cloud is part of what the test can settle.
We're not sure what to test first.
That's step one of the process: we find the riskiest assumption together on the first call. If the question is still too broad for a test, start with a technical consultation and come back with it sharpened.
Do you build the full product if it's a go?
If you want us to, yes: the same team builds web apps and automations, so nothing gets lost between the proof and the product. The verdict file includes the production path and cost either way, usable with any builder.
Next step
What's the assumption your idea stands on?
One call is enough to name it and scope the test. Fixed quote in 48 hours, and every result is yours, whichever way the verdict goes.
Fixed price Real data Answer in weeks