Choose what to get done
Score an AI idea's business feasibility on 1-4 scales
A founder comparing AI product ideas gets a defensible 1-4 score on each business-feasibility dimension and an average, derived from concrete inputs (SOM, usage cadence, validation %, scalability), so ideas can be ranked on a like-for-like basis.
Score Problem Candidates on the Ikigai Four-Lens Fit
A founder receives a structured four-lens score for each candidate problem and a shortlist of those that clear every lens, so they pick a problem to focus on rather than a buzzword.
Screen Startup Against Incubator/Accelerator Eligibility Criteria
A founder receives a structured eligibility screen showing, criterion by criterion, whether the startup meets a given incubator or accelerator program's stated rules and whether it clears the overall must-have gate.
SETDA AI Outcome Discovery Register
A product team running AI discovery gets a structured register of candidate AI outcomes, each correctly categorized (revenue / cost / risk) and mapped to a Sense/Explain/Think/Decide/Act method, with needs and requirements broken out per the SETDA framework.
Unit economics and contribution margin
A correct per-transaction contribution-margin calculator, verified on held-out cases.
Weighted sales forecast from your pipeline
A weighted, discount-adjusted forecast: each deal weighted by its stage probability and rolled up by month.