How to scope a software project before you ask for quotes
Vague briefs produce quotes that cannot be compared. A few days of structured thinking before you contact suppliers will save weeks of confusion later.
Startups & Scale-ups
Software for startups that need to ship and still be standing later
We help founders and early product teams build the first version quickly, without creating the kind of codebase that has to be thrown away at the next funding round.
- Relevant services
- SaaS Development, Web Application Development, Mobile App Development, UI/UX & Product Design, AI Development & Automation
The sector today.
For most startups, the product is the business. The first release has to test a real hypothesis with real users, and the budget for doing so is set by runway rather than ambition. That makes scope the most important engineering decision: what you leave out matters as much as what you build.
The pressure changes once there is traction. Investors ask who owns the code and how it is maintained, early customers ask about security and uptime, and the team that was fine with one developer now needs a codebase several people can work in at once. Choices made in the first few months, around data models, authentication, hosting and third-party services, either make that transition straightforward or turn it into a rebuild.
Common problems we hear.
An MVP that tries to do everything
Feature lists grow to match the pitch deck rather than the hypothesis. The launch slips, the runway shrinks and there is still no evidence about what users actually want.
Prototype code in production
A quick prototype becomes the live product by default. It works until the first serious customer, integration or hire, and then every change is slow and risky.
Unclear ownership of code and IP
Work done by freelancers or agencies without clear assignment, shared credentials and undocumented infrastructure all surface during due diligence, usually at the worst moment.
No technical leadership in-house
Non-technical founders have to judge estimates, architecture and hiring decisions without anyone on their side who can explain the trade-offs plainly.
How we address them.
Scope to the hypothesis
We work backwards from what the first release needs to prove, then cut everything that does not serve it. The result is a smaller build that reaches users sooner.
Boring, well-understood foundations
We use mainstream frameworks, managed databases and hosted authentication so the codebase is easy to hire for and easy to hand over, not dependent on us.
Clean ownership from day one
Code lives in your repositories, infrastructure sits in your cloud accounts, and IP is assigned to your company. Nothing needs untangling when an investor asks.
Plain-English technical guidance
We act as a technical partner as well as a build team: explaining trade-offs, reviewing hiring plans and helping you prepare for technical due diligence.
What we build in this space.
Web and mobile MVPs
A focused first release with sign-up, the core workflow, payments where needed and enough analytics to learn from real usage.
Multi-tenant SaaS platforms
Account and team management, role-based permissions, subscription billing and the admin tooling you need to support customers as you grow.
Marketplaces and two-sided platforms
Listings, search, messaging, bookings and split payments, with the trust and moderation tools a marketplace needs once it has volume.
AI-assisted product features
Practical features built on large language models, such as summarisation, drafting or search, designed with cost controls and sensible fallbacks.
What we design around.
Runway and burn
We plan releases around what you can afford to learn, keep hosting costs proportionate to actual usage and flag early when a feature is likely to cost more than it returns.
Investor technical due diligence
We keep the things diligence reviewers look for in order: IP assignment, open-source licence hygiene, access control, dependency management and a readable codebase with documentation.
Avoiding premature scaling
Microservices, Kubernetes and elaborate infrastructure rarely help before product-market fit. We build a well-structured single application that can be split up later if the load justifies it.
Security and data protection basics
Even an MVP handles personal data. We design around UK GDPR from the start, with sensible access controls, encrypted storage and a clear record of what data is held and why.
Services that fit.
- SaaS DevelopmentMulti-tenant SaaS platforms with subscriptions, team accounts and an architecture that grows with your customer base.
- Web Application DevelopmentCustomer-facing platforms, dashboards and portals built with React, Next.js and TypeScript.
- Mobile App DevelopmentCross-platform iOS and Android apps built with Flutter, with the backend services and release process to support them.
- UI/UX & Product DesignUser research, prototyping, interface design and design systems for web and mobile products.
- AI Development & AutomationLLM-powered features, AI agents and document automation built on Claude and OpenAI, designed for dependable production use.
Typical technology.
How a project runs.
- DiscoverUnderstand the business, the users and what success looks like.
- DefineRequirements, architecture, scope and a roadmap you can plan around.
- DesignThe product experience, tested before it is expensive to change.
- BuildEngineering in short cycles, with working software to review every sprint.
- LaunchTesting, deployment and making sure it holds up in production.
- EvolveSupport, improvement and scaling once real usage starts.
Common questions.
Should we build an MVP with no-code tools or with custom software?
No-code tools are often the right choice for testing demand quickly, and we will say so if that is the case. Custom software makes sense once the core workflow is specific to your product, needs to integrate with other systems, or has to carry real customer data and scale. We can also help you plan a move from a no-code prototype to a proper build.
Who owns the code you write for us?
You do. Code sits in your repositories, infrastructure runs in accounts you control, and intellectual property is assigned to your company under our contract. That matters for fundraising and for any future handover to an in-house team.
Can you help us prepare for technical due diligence?
Yes. We can review an existing codebase against the questions investors typically ask, covering ownership, security, licensing, architecture and documentation, and fix the issues most likely to cause concern before the process starts.
What happens when we hire our own developers?
We plan for it. We use mainstream technology, write documentation as we go, and can run a structured handover including pairing with new hires. Many startups keep us involved for specific work after their own team is in place.
How do you estimate an MVP when the requirements keep changing?
We start with a short scoping phase to agree the hypothesis, the must-have workflow and what is out of scope. We then estimate in ranges and work in short iterations, so changes are traded against other work rather than simply added to the bill.
Further reading.
Custom software or off the shelf? When building is worth it — and when it isn't
Most businesses should buy far more software than they build. The skill is recognising the small number of places where building your own genuinely pays off.
Keeping cloud costs sensible as your product grows
Cloud bills rarely jump because of one bad decision. They creep, through forgotten resources and defaults nobody revisited. A few habits keep them in check.
Have a product worth building?
Tell us what you are trying to achieve. The first conversation is about understanding the problem — not selling you a solution.