Discover
We map your goals, users, data and constraints, then define the highest-value use case and how success will be measured.
How we work
A clear process. No surprises.
Short phases, a working result at the end of each one, and full visibility throughout — so you always know what's being built and why.
Our process
Four phases from idea to impact
Prototype
A working prototype tests the riskiest assumptions with real data — so you see results before committing to a full build.
Build
We engineer the production solution in short sprints with weekly demos, evaluations and full transparency on progress.
Launch & scale
We deploy, monitor quality and cost, and keep improving — or hand over to your team with documentation and training.
Ready when you are.
Most projects start with a two-week Discovery Sprint.
Start a project Our promise
No black boxes and no surprises. You see working software every week, you own everything we create, and we tell you honestly when AI is not the right answer.
Engagement models
Choose how you want to work with us
Fixed-price where scope is clear, flexible where it isn't. You'll receive a detailed proposal after our first call.
Start here
AI Discovery Sprint
2 weeks · fixed scope
Validate an AI opportunity before you invest in a build.
- Stakeholder workshops
- Use-case and data assessment
- Clickable or working prototype
- Architecture and cost estimate
- Roadmap and business case
Most popular
MVP Build
6–12 weeks · fixed milestones
Take a validated idea to a production-ready product.
- Product design and UX
- Full-stack development
- AI features and evaluations
- Deployment and launch
- Handover and documentation
Scale
Dedicated AI Team
Monthly · flexible
A senior AI team working as an extension of yours.
- AI and full-stack engineers
- Product and delivery lead
- Weekly demos and reporting
- Flexible scope and capacity
- Ongoing optimisation
Working together
What you can expect from us
The principles that shape every engagement.
Outcomes over output
Every project starts with a measurable business goal, and we report against it.
Responsible by default
Privacy, security and human oversight are designed in from the first sprint.
Radical transparency
Weekly demos, shared boards and honest advice — including when AI isn't the answer.
You own everything
All code, models, prompts and IP belong to you. No lock-in.
Weekly demos
See working software every week, with a shared board and a single point of contact.
FAQ
Questions about working with us
How quickly can you start?
We can usually begin a Discovery Sprint within one to two weeks of our first conversation.
How long does it take to build an AI MVP?
Most MVPs take six to twelve weeks, depending on scope, integrations and data readiness. We agree milestones up front so timelines stay predictable.
Who owns the code and IP?
You do. All code, prompts, models, documentation and intellectual property created for your project are transferred to you.
How do you handle data privacy and security?
We follow least-privilege access, keep your data in your environment wherever possible, sign NDAs and DPAs on request, and use model providers configured not to train on your data.
Which AI models do you use?
We are model-agnostic. We choose between providers such as OpenAI, Anthropic, Google and open-source models based on accuracy, cost, latency and data requirements for each use case.
What happens after launch?
We can monitor, maintain and keep improving your solution on a monthly plan, or hand over to your team with documentation and training.
How is pricing structured?
Discovery Sprints and MVP builds are fixed-price against an agreed scope. Dedicated teams are billed monthly. You'll receive a detailed proposal after our first call.
Have an AI idea worth building?
Tell us what you're working on. We'll reply within one business day with honest advice on the fastest path to results.