Test your idea before spending money on development.

The most expensive mistake a founder can make is building something nobody wants. The second most expensive is spending months finding that out. AI has changed the economics of validation significantly. You can now test your core assumptions, talk to potential customers at scale, model your market, and build a working prototype in a fraction of the time and cost it used to take.

• Whether the problem you're solving is real and felt strongly enough to pay for
• Who your most likely early customers are and what they actually care about
• Whether your proposed solution makes sense to the people you're building it for
• What price point is realistic and what customers would actually pay
• Whether the market is large enough to build a business on
• What the simplest version of your product looks like that still tests the core idea

• Customer research: use AI to analyse conversations, identify patterns, and surface insights from customer interviews faster than manual analysis
• Market sizing: use AI to model your addressable market and stress-test your assumptions before committing to a direction
• Prototype building: build a working version of your idea using no-code tools to test with real users before writing a line of code
• Competitor analysis: use AI to map the competitive landscape quickly and find the gaps your idea can own

• Scoping session: we work out what you're trying to validate and design the fastest path to a useful answer
• Validation sprint: we work alongside you through the research, prototyping, and analysis, keeping things moving and interpreting what you find
• Findings session: a clear view of what the validation tells you and what to do next, whether that's build, pivot, or stop

Led by Jill McAlpine. Jill has worked with founders at every stage and brings a clear-eyed, practical approach to validation. The goal is always a useful answer as fast as possible, rather than a research project that takes longer than the build would have.