What if the proof of concept fails?

Then it did its job. A POC exists to make failure cheap and early rather than expensive and late, and a clear no after six weeks is a much better outcome than a hopeful yes that unravels nine months into a build. Roughly speaking, a meaningful minority of the POCs we run end in a recommendation not to proceed, and we'd be suspicious of any firm claiming otherwise.

Can the prototype become the real product?

Sometimes, partly. A POC is built for speed and to answer one question, which means it deliberately skips things production software needs — error handling, security hardening, scale, edge cases. The architecture and the learning carry forward; a fair amount of the code shouldn't. We're explicit about which is which at handover so nobody budgets on a false assumption.

Do we own what you build?

Yes. You own the code and the IP outright, including if you decide to take it to another firm to build the production version. We'd rather you left with something you own than with a dependency on us.

How much does a POC cost?

Materially less than the build it's testing — that ratio is the whole point. The exact figure depends on how much has to exist before the question can be answered, which we scope after the first conversation. If the scoping suggests the POC would cost a large fraction of the real build, we'll tell you to skip it and build the thing.

Do you need our production data?

Real data, yes — production access, usually not. A representative extract is normally enough, and we'll work within whatever handling constraints you have, including keeping everything on your infrastructure if the sensitivity calls for it. What we push back on is testing with invented sample data, because it produces answers that don't hold.

Proof of Concept

Proof of Concept Development

Validate your ideas before committing to full development. Our POC services help you test concepts, gather feedback, and reduce risk.

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Why Start with a POC?

A proof of concept helps you validate ideas and reduce risk before full investment.

Validate Ideas

Test your concept before full investment

Reduce Risk

Minimize development risk with early validation

Fast Delivery

Get a working prototype in weeks, not months

User Feedback

Gather real user feedback early in the process

Our POC Process

A streamlined process to get you from idea to prototype quickly.

Discovery

Understand your vision and requirements

Design

Create wireframes and technical architecture

Build

Develop a functional prototype

Test

Validate with real users and iterate

A proof of concept is an experiment, not a small product

This distinction gets lost constantly, and it's the reason most POCs disappoint. A small product is a scaled-down version of what you eventually want. An experiment is a deliberately narrow thing built to answer one question you can't currently answer, designed so that a negative answer is as useful as a positive one.

We build the second kind. That means the prototype will look unfinished in ways that feel uncomfortable — no polish, no edge cases, no integrations that don't bear on the question. Every hour spent making it presentable is an hour not spent reducing your actual risk.

What's included

A written statement of the success criteria agreed before work starts. A working prototype exercising the risky part of the idea, run against your real data. A measured result against those criteria. A written account of what we found, including anything that surprised us. And a recommendation: proceed, proceed with changes, or stop. You own all of it.

What isn't included: production hardening, security review, scale testing, or a support commitment. Those belong to a build, and pricing a POC as though it included them is how these engagements quietly become as expensive as the thing they were meant to de-risk.

Why we insist on real data

The most common way a POC misleads is by succeeding on data that doesn't resemble production. Clean, consistent, curated sample data makes almost any approach look viable. Your actual data has inconsistent formatting, missing fields, decades of accumulated conventions, and the three exceptions everyone in the business knows about but nobody wrote down.

Those exceptions are usually where the project's real difficulty lives. Finding them in week three of a POC is inconvenient. Finding them in month seven of a build is a budget problem. So we work with a real extract, and if the data can't leave your environment we work inside it.

Where this fits with our other work

If you know there's an inefficiency but not what to do about it, start with a readiness assessment instead — it's cheaper and it produces a shortlist rather than an answer to one question. If the approach is already proven and you just need it built, go straight to custom development. The POC sits in between: you know what you want to try, and nobody can yet tell you whether it will work.

We've taken this route with founders and with established businesses. Pressure IQ began as a founder's idea that needed shaping before anyone wrote production code; that scoping work is what made the delivery predictable. The same logic applies to an established company weighing whether to automate a process it has run manually for fifteen years.

When a proof of concept is the right move

A POC is worth building when there's a specific unanswered question and the answer would change what you do next. If there isn't one, it's a delay dressed up as diligence.

An AI use case nobody can price

You've been quoted wildly different numbers for the same idea, because nobody knows whether the approach works on your data. A POC settles that question for a fraction of the cheapest quote.

A product idea that needs a real demo

You're raising, pitching a partner, or trying to get internal budget approved, and a deck isn't landing. Something people can click through changes the conversation.

An internal argument that won't resolve

Two credible people disagree about whether an approach will work, and the disagreement has been running for months. Building the smallest version that settles it is cheaper than another meeting.

When we'd tell you to skip it

Projects where the requirements are already well understood and the technology is proven — you don't need a POC, you need the build.
Situations where a negative result wouldn't change anything. If the project is going ahead regardless, a POC is an expensive delay.
Ideas that depend on data you don't have and can't get. We'd rather establish that in a conversation than bill you to discover it.

How a POC runs

Four steps, and the first one matters more than the other three combined.

1

Define what would count as success
A few days

The single most important step, and the one most often skipped. Before anything is built we agree in writing what result would make this a yes and what would make it a no. A POC without that agreement always ends in an argument about whether it worked.
2

Design the smallest sufficient test
About a week

We strip the idea to the part that carries the actual risk. Everything else — polished interfaces, edge cases, integrations, scale — gets deliberately left out. If the risk is whether a model can read your documents accurately, the POC is that and nothing else.
3

Build it
2-6 weeks typical

A working prototype, run against your real data rather than a curated sample. Real data is the point: cleaned demo data is how POCs produce encouraging results that evaporate in production.
4

Report and decide
A few days

You get the prototype, the measured result against the criteria agreed in step one, an honest account of what surprised us, and a recommendation. Sometimes that recommendation is not to proceed — and that's a successful POC, because it cost weeks instead of a year.

Common questions

What if the proof of concept fails?: Then it did its job. A POC exists to make failure cheap and early rather than expensive and late, and a clear no after six weeks is a much better outcome than a hopeful yes that unravels nine months into a build. Roughly speaking, a meaningful minority of the POCs we run end in a recommendation not to proceed, and we'd be suspicious of any firm claiming otherwise.
Can the prototype become the real product?: Sometimes, partly. A POC is built for speed and to answer one question, which means it deliberately skips things production software needs — error handling, security hardening, scale, edge cases. The architecture and the learning carry forward; a fair amount of the code shouldn't. We're explicit about which is which at handover so nobody budgets on a false assumption.
Do we own what you build?: Yes. You own the code and the IP outright, including if you decide to take it to another firm to build the production version. We'd rather you left with something you own than with a dependency on us.
How much does a POC cost?: Materially less than the build it's testing — that ratio is the whole point. The exact figure depends on how much has to exist before the question can be answered, which we scope after the first conversation. If the scoping suggests the POC would cost a large fraction of the real build, we'll tell you to skip it and build the thing.
Do you need our production data?: Real data, yes — production access, usually not. A representative extract is normally enough, and we'll work within whatever handling constraints you have, including keeping everything on your infrastructure if the sensitivity calls for it. What we push back on is testing with invented sample data, because it produces answers that don't hold.

Have an Idea to Validate?

Let's discuss your concept and create a proof of concept to test it.

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