Services · AI Product Engineering
From business requirement to a product that runs in production
Writing code is the easy part. Projects succeed or fail on the rest: working out what the product should do, designing it, connecting it to your real systems, testing it and running it. We handle all of that. We use AI tools to work faster, and experienced engineers check everything and stand behind the result.
The problem
Why “we can just generate it” is not enough
AI tools can write a lot of code quickly. They can't decide what your product should do, how it fits with your other systems, what happens when something fails, or who fixes it at 2am.
Teams that build fast without clear requirements, a sound design and proper testing often end up with software that is hard to change, hard to trust and costly to run.
Who this is for
- Product and technology leaders who need a new product or a major new feature built and launched
- Companies whose in-house team is too small, or lacks the right skills, for an important product
- Startups and growing companies turning a prototype into a system they can rely on
Common use cases
- Web and mobile applications and SaaS platforms
- New modules and features added to an existing product
- Customer and partner portals connected to back-office systems
- Turning a working prototype into software that is ready for real users
Scope
What you can expect
Clear scope, user flows and a definition of done
Technical design, including how it connects to your other systems
Software that is built, reviewed and tested
Automated tests and a repeatable way to release
Documentation and a handover to your team
Support and improvements after launch, if you want them
Our approach
We use AI to work faster. People are responsible for the result.
- 01
Clarify
We turn your goals into clear requirements and a definition of done.
- 02
Design
Engineers decide the architecture, the data model, how it connects to other systems, and how it stays secure.
- 03
Build with AI assistance
AI speeds up the coding. Engineers review every change and own the design.
- 04
Verify and release
Automated and manual testing, security checks and a careful release.
Evidence
Related case studies
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Engagement models
Start small, then grow with confidence
We do not force every project into the same package. Scope and commercial terms are agreed with you after we understand the problem.
Fixed-scope discovery
A short, paid piece of work to clarify the problem, review your current system, and agree the scope, risks and plan before you commit to a bigger build.
Paid pilot
A small project with a fixed end date that tests the approach on one real workflow or module, with clear criteria for success.
Milestone-based delivery
Set deliverables with agreed acceptance criteria, for work that can be scoped with confidence.
Monthly engineering
A dedicated team working in your process on an ongoing roadmap, with a shared backlog, regular reports and clear responsibilities.
FAQ
Common questions
Do you use AI coding tools on our project?
Yes. Our engineers use them every day, and they review and test everything that ships. We are also happy to work with the tools and standards your team already uses.
Can you work with our in-house team?
Yes. We often work inside our customers' processes. We can support your engineers, add to the team, or hand the product over to them.
How do you price a product build?
It depends on how well the scope is defined. We usually start with a short, fixed-price discovery, then agree on milestones or a monthly engagement. We don't publish standard prices.
Need to get a product into production?
Tell us what you are trying to achieve. We will give you an honest view of the right way forward.