You have an idea. Maybe it depends on a new API, a tricky integration, or an AI workflow nobody has done quite this way before. A proof of concept answers the only question that matters at this stage: can this actually work? Small build, short timeline, honest answer.
Discuss Your Idea →A PoC is not a product. It is the smallest possible build that tells you whether the riskiest part of your idea is actually possible — and what it will take to do it properly.
A focused session to pull apart your idea, identify the riskiest technical assumption, and define exactly what the PoC needs to prove. Sharper scope means a faster, cheaper PoC.
A working slice of the hardest part of your idea — the API call that has to succeed, the integration that has to hold, the algorithm that has to produce the right output. Built to be demonstrated, not deployed.
Prompt design, RAG pipelines, agent flows, fine-tuning experiments. We help you find out whether an AI-driven feature actually works on your data before you bet a product on it.
When a product hinges on a third-party API, hardware, ERP, or legacy system, we build the smallest end-to-end integration that proves the data flows the way you expect.
Real-time pipelines, ETL flows, analytics aggregations — a working prototype on real data, so you can see the latency, accuracy, and edge cases before you commit to an architecture.
A short, honest write-up of what we learned: what works, what does not, what scared us, and what we would change before turning this into a real product. No fluff, no slide-deck theatre.
We start by stripping the idea down to the single technical assumption that, if wrong, kills the whole thing. That is the question the PoC will answer. Everything else gets parked.
A few days to a few weeks of focused senior engineering. No auth, no admin panel, no polished UI — just the working core of the idea, demonstrable on a call and runnable on real data.
You get a working demo, a short technical write-up, and a clear recommendation: proceed to MVP, pivot the approach, or stop. No upsell pressure — the honest answer is the whole point.
A PoC validates the idea. Once you know it works, the natural next step is MVP development — the smallest production-ready product that puts your idea in front of real users.
Once your MVP is live and learning from real users, we help you evolve it through product scaling and continuous development.
See the full set of capabilities on our services overview or learn more about who builds your product.
A proof of concept is a small, focused build that answers one question: can this idea actually work? It is not a product — it is a technical experiment. You need a PoC when you have an idea that depends on an unproven assumption: a new API, a tricky integration, an AI/ML workflow, a real-time data pipeline, or any technical claim that needs to be verified before you commit to a real build. A good PoC takes days or a few weeks, not months.
A PoC proves an idea can be built (technical feasibility). A prototype shows what it would feel like to use (design and flow). An MVP is a real, shippable product that proves whether the market wants it. The three serve different purposes — a PoC de-risks the technology, a prototype de-risks the experience, and an MVP de-risks the business. We help you start with whichever one actually matches the question you are trying to answer.
Most PoCs run between 40 and 150 hours of senior engineering — typically 1 to 4 weeks of calendar time. We bill hourly from $40/hr and agree on a target scope upfront. The goal is to spend as little as possible while still answering the core technical question with confidence. If a PoC starts ballooning past its original purpose, we will tell you — that is usually a sign it should become a real MVP project instead.
You get a working demonstration of the core idea, a short technical write-up of what we learned (what worked, what surprised us, what to watch for at scale), and a recommendation: proceed to MVP, pivot the approach, or stop. You also keep the full source code. We treat a PoC as a learning artefact, not a throwaway — much of what we build is reusable if you move forward.
Sometimes — but it usually should not be turned into one directly. PoCs cut corners on purpose: minimal error handling, no auth, no tests, no scalability. The real value of a PoC is what you learn from it. We typically take those learnings into a fresh MVP build with the right architecture for production, rather than dressing up shortcut code. That said, components and integrations from a PoC are often reused.
Yes. We sign a mutual NDA before any detailed discussion of your concept. We take confidentiality seriously — every engineer on the team works under the same agreement, and we never reuse client-specific code, designs, or ideas across projects.
Book a free 30-minute call. We'll talk through your idea, identify the riskiest technical assumption, and give you an honest estimate of what a PoC would take.
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