Investment decisions are noisier
than anyone admits.
Cognitive bias drives both sides of the problem. We measured it. We built the filter.
of founders pitch investors whose thesis doesn't match their stage or sector
Most fundraising failure is a matching problem, not a quality problem.
more decks reviewed per funded deal than a decade ago
Signal-to-noise in deal flow has collapsed. Investors are drowning.
faster to term sheet when founders reach thesis-matched investors
Better matching compounds on both sides of the table.
Based on peer-reviewed research in behavioural finance and venture capital decision-making
Four steps from deck to deal flow
Under 60 seconds. What you learn changes your fundraising.
Stop drowning in bad decks.
Every investor we know gets 10 irrelevant decks a week. We send you three good ones that cleared our quality bar and match your thesis. That is the entire value prop.
Simple, transparent pricing
Start for free. Upgrade when the value is obvious.
Built on peer-reviewed research.
Not vibes.
The scoring rubric and bias detection framework are derived from three peer-reviewed papers on cognitive bias in investment decision-making, published across behavioural finance and organisational behaviour literature at VU Amsterdam.
Why this matters: Most AI pitch tools are LLM wrappers giving generic feedback. They have no research basis, no bias framework, and no investor side. Our rubric is built on three peer-reviewed papers. That is not reproducible in a weekend hackathon.