Evidence before the raise
A working product and real usage data make a far stronger case to angels and seed funds than a deck and a Figma file.
MVP development company · UK
We help UK founders and product teams turn an idea into a focused first release — scoped around the one thing you need to prove, built to production standard, and in front of real users in weeks rather than quarters.
The basics
A minimum viable product is the smallest version of your product that real users can use — and that answers the question your business most needs answering. Will people sign up? Will they pay? Will they come back next week? Does the workflow save the time you think it will?
It is not a clickable prototype (users cannot get real work done in a prototype) and it is not a cut-price version of the full product. A good MVP is narrow on purpose: one audience, one core job, done properly. Everything else waits until the data says it is worth building.
Getting the scope right matters more than any technology choice. Most MVPs that overrun do so because too much went into version one — so our discovery work is mostly about deciding, with evidence, what to leave out.
Who we work with
The same discipline works at every stage — what changes is the question the MVP has to answer.
A working product and real usage data make a far stronger case to angels and seed funds than a deck and a Figma file.
We translate the idea into a scope, make the architecture decisions with you, and explain the trade-offs in plain English.
You have validated the problem; now you need a product that can take paying customers, handle support and survive growth.
Launch a new proposition alongside core systems — integrated where it must be, isolated where it should be.
Turn an offline or spreadsheet-driven service into a product customers can use themselves.
Explore a new product line without pulling your core engineers off the roadmap they are already committed to.
What we do
Take the whole journey with us, or just the part you need — from a two-week discovery sprint to a launched product and the iterations after it.
Workshops to define the audience, the riskiest assumption and the smallest scope that tests it — ending in a written plan and estimate.
User journeys, wireframes and a clickable prototype you can put in front of real users before a line of production code is written.
Web apps and SaaS products built with Next.js and a Node.js or Python backend — fast to iterate, simple to host, easy to hand over.
iOS and Android apps from one React Native or Flutter codebase, with app store submission handled for you.
Products where AI is the core feature — built with an evaluation set, cost controls and a human fallback from the first release.
Analytics, error monitoring and a release pipeline, then two-week iteration cycles driven by what users actually do.
AI MVPs
An AI MVP has to prove two things at once: that users want the product, and that the AI is good enough, cheap enough and safe enough to deliver it. A demo that impresses on ten hand-picked examples proves neither.
So we build an evaluation set from real examples before we build the product, and measure every change against it. We estimate model costs per user from the start — they are a real line in your unit economics — and design a graceful fallback, usually a person, for when the model is unsure.
We keep the model layer swappable. The best model for your use case today will not be the best one in a year, and you should not have to rebuild the product to change it.
Web or mobile first?
The right first platform depends on where your users are and how often they will use it. We will give you a straight recommendation — and most MVPs only need one.
Users work at a desk, you sell to businesses, you need to iterate daily, or you want to test pricing and onboarding before committing to app stores.
The product is used on the move, relies on the camera, location or notifications, or your audience simply lives on their phones.
A shared backend and API from day one, a web app first and a mobile app once usage justifies it — without rebuilding anything.
How we work
The same seven stages we use for every build, tuned for speed: short discovery, a prototype users can touch, then fortnightly releases.
We define the audience, the problem and the single riskiest assumption your MVP must test — and agree how you will know whether it worked.
A one-page MVP brief
We cut the feature list to the smallest scope that tests that assumption, choose the platform, and fix a budget and timeline for version one.
Prioritised scope with a fixed quote
A clickable prototype of the core journey, tested with target users, plus an architecture chosen to be simple now and extendable later.
Validated prototype and architecture plan
Two-week sprints with a working demo at the end of each. You can see and use the product as it grows, not just at the end.
Working software every sprint
Automated tests on the core flows, manual QA on real devices, and a pre-launch check of security basics, accessibility and performance.
Launch-ready release candidate
Deployment to the web or the app stores, with analytics, error tracking and a simple admin panel so you can run the product day to day.
Live MVP with analytics
We review the numbers with you, fix what users trip over, and plan the next iteration — or hand over cleanly to your first in-house engineer.
Iteration plan or handover
Technology
Mainstream, well-supported technology — so your MVP is quick to build, easy to hire for, and never a dead end.
Web
Mobile
Backend
Hosting and delivery
AI
Product tooling
Typical timeline
An example plan for a focused web or mobile MVP. Yours will be dated after discovery, once the scope is agreed.
This is an illustration, not a promise: timelines depend on scope, integrations and how quickly decisions are made. You get a dated plan with milestones before the build starts.
Workshops, competitor and user research, the riskiest assumption agreed, and the feature list cut to version one.
MVP brief, scope and fixed quote
Clickable prototype of the core journey, tested with target users, then visual design and the architecture plan.
Validated prototype
Fortnightly sprints with a demo at the end of each. The product runs on a staging environment you can use throughout.
Feature-complete MVP
Final QA, app store submission or production deployment, analytics and monitoring switched on.
Live product
We review real usage with you and ship improvements in two-week cycles while you decide what comes next.
Evidence for your next decision
Engagement models
Most founders start with a discovery sprint, then move to a fixed-price build. Funded teams sometimes prefer a dedicated team from day one.
From £2,000 fixed fee
You have an idea or a problem, but not yet a scope you would trust a quote against.
Quoted after discovery
A defined build — an MVP, a rebuild or a feature set — with milestones and a fixed budget.
From £9,500 per month
A small cross-functional pod — engineering, QA and delivery lead — that owns an outcome.
Prices are in GBP. Every estimate is confirmed in writing after a discovery call — the figures above are where engagements start, not a quote.
Relevant work
Early-stage products we have taken from idea to launch — the case studies cover the brief, the approach and the stack.
All case studiesMobile-first money transfer and card app for a cross-border fintech.
Social discovery app for events, meet-ups and friend introductions.
Restaurant operations platform: QR ordering, kitchen displays and loyalty.
Why Techsleight
No inflated numbers — just how we run projects, and what you can hold us to.
We ask what the software is for before we estimate it — and we will tell you when something should not be built, or should be bought instead.
LLM features, retrieval and automation built with evaluation, guardrails and cost controls, and plain software where that is the better answer.
Design, frontend, backend, mobile, cloud and QA in one team, so nothing falls between suppliers.
UK business hours, estimates in pounds, and a contract with a UK company. Our engineers are based in the UK and India.
A fixed-scope project, dedicated developers or a monthly retainer — and you can move between them as the work changes.
Code, IP, cloud accounts and documentation are yours from day one. We sign an NDA before discovery if you need one.
We stay on for fixes, upgrades and new features, or hand over cleanly to your in-house team with the documentation to match.
FAQs
Straight answers on scope, cost, timelines and how we work. If yours is not here, ask us directly.
It depends on scope far more than platform. A discovery sprint to define and de-risk the MVP starts from £2,000, and the build is then quoted as a fixed price against the agreed scope. We will always suggest ways to make version one smaller before we suggest ways to make it bigger.
A focused web or mobile MVP is typically planned over weeks, not months — the example plan on this page runs to around ten weeks from discovery to launch. You get a dated plan with milestones after discovery, once the scope is agreed.
Yes. After a discovery sprint, once scope is written down and agreed, we quote the build as a fixed price with milestone billing. If you want to change scope mid-build, we price the change before doing it — no surprise invoices.
You do. The code, designs, documentation and infrastructure accounts belong to you from the start, and we are happy to sign an NDA before discovery. You can take the product in-house or to another supplier at any time.
Sometimes, yes — for testing demand with a simple workflow, a no-code tool can be the fastest route and we will tell you so. Custom code makes sense when the product needs real logic, integrations, performance, or a codebase investors will look at in due diligence.
Yes. For AI products we agree accuracy targets and build an evaluation set before the product itself, model per-user AI costs from the start, and design a human fallback for uncertain cases — so the MVP proves the AI works, not just that the demo does.
Yes, without over-engineering it. We use mainstream frameworks, a clean API boundary and a sensible database design, so growing means adding to what exists rather than rewriting it.
Often, yes. We start with a short code and architecture review, tell you honestly what is worth keeping, and fix the things that block launch before adding anything new.
Some software development does, when it resolves genuine technological uncertainty — but eligibility is a question for your accountant or an R&D tax specialist, not for us. What we can do is document the technical challenges we worked through, which is the evidence those claims rely on.
We review the analytics and user feedback with you, fix what users struggle with, and plan the next iteration in two-week cycles. When you are ready to hire your own team, we hand over with documentation and help onboard them.
Start a project
Tell us the idea, who it is for and what you need to prove. We will come back with honest questions, a view on the smallest useful first version, and what it would take to build.
What happens next
Techsleight Labs is a trading name of Krapton IT Consultancy.
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