Ainna is aimed at founders, product teams and innovation groups who need to decide what to build next before committing engineering time. The workflow starts with a problem framing step, where Ainna interrogates the problem the way a skeptical advisor would — asking who lives with it, what it costs and why it matters now. From there, a brainstorming mode widens the solution space by proposing options the team did not raise, learning from rejected ideas as well as accepted ones.
The centrepiece is an evaluation model nicknamed The Judge, which scores each shortlisted concept across ten dimensions, showing the reasoning behind every score and naming the single dimension that is holding the grade back. Ainna positions this as a deliberate corrective to agreeable AI: rather than validating whatever the user proposes, it is designed to surface weaknesses early, when changing course is still cheap. Teams can then invite outside experts to grade the same concepts with equal standing, seeing their input without being biased by the AI's score.
Once an opportunity survives evaluation, Ainna converts that accumulated work into finished documents — a pitch deck, a PRD, an FRS, an architecture outline, social carousels and more — exported to PowerPoint or Word and branded where needed. A Market Radar feed keeps a stream of product opportunities flowing to teams that want a standing pipeline of ideas.
