


AI MVP & Rapid Prototyping
Fast AI Prototyping
Validate your AI concept fast. We build working AI prototypes and MVPs in weeks, not months, so you can test assumptions, gather feedback, and make investment decisions with confidence.

From AI Idea to Working Prototype in Weeks
The biggest risk in AI development is building the wrong thing. Our rapid prototyping approach gets a working AI solution in front of real users quickly, validating feasibility, testing user acceptance, and proving ROI before significant investment.




Proven Success with Data Driven Design, Development and Digital Marketing.





















Service Features
What Our Clients Say About Us
What Our Clients Say About Us
Our Process
Concept Workshop
A focused session to clarify your AI vision, define the core hypothesis, identify available data, and scope the prototype for maximum learning.
Data Assessment
We evaluate your available data, identify gaps, and determine the fastest path to a working model, including synthetic data strategies if needed.
Rapid Build
We build the prototype iteratively, sharing progress daily and incorporating your feedback in real-time, typically delivering a working version in 2-3 weeks.
User Testing
We put the prototype in front of real users, gather feedback, measure key metrics, and document findings to inform next steps.
Feasibility Report
We deliver a comprehensive assessment covering technical feasibility, expected accuracy, infrastructure requirements, estimated costs, and recommended next steps.
Scale Decision
Armed with real evidence, you decide whether to proceed to full development, and we provide a detailed roadmap and estimate for the production build.
Our Process







Concept Workshop
A focused session to clarify your AI vision, define the core hypothesis, identify available data, and scope the prototype for maximum learning.
Data Assessment
We evaluate your available data, identify gaps, and determine the fastest path to a working model, including synthetic data strategies if needed.
Rapid Build
We build the prototype iteratively, sharing progress daily and incorporating your feedback in real-time, typically delivering a working version in 2-3 weeks.
User Testing
We put the prototype in front of real users, gather feedback, measure key metrics, and document findings to inform next steps.
Feasibility Report
We deliver a comprehensive assessment covering technical feasibility, expected accuracy, infrastructure requirements, estimated costs, and recommended next steps.
Scale Decision
Armed with real evidence, you decide whether to proceed to full development, and we provide a detailed roadmap and estimate for the production build.
Featured Work












Finer Aviation

A global private jet charter provider needed a premium website to enhance credibility, improve user experience, and streamline inquiries.
View ProjectClarks

The client, Clarks - a globally recognised footwear brand, needed a digital gift card solution that could be accessed via QR code and stored in mobile wallets, ready for use across multiple markets and platforms.
View ProjectFAQs
A focused proof-of-concept can be ready in 2-3 weeks. A more complete MVP with user-facing features typically takes 4-8 weeks. The timeline depends on data readiness, model complexity, and the scope of the user interface.
That's one of the key benefits of prototyping, finding out early and cheaply. If the AI approach doesn't deliver the required accuracy or value, we'll tell you honestly and recommend alternative approaches. A failed prototype that saves you from a £200K mistake is still a great investment.
Yes, we design prototypes with production in mind. While some components may need to be re-engineered for scale, the core model, data pipelines, and business logic carry forward. This significantly accelerates the production build if you decide to proceed.
AI prototypes typically range from £8,000-£25,000 depending on complexity. This is a fraction of a full production build and gives you concrete evidence to make informed investment decisions.


















