ValidPitch surfaces the closest historical failure patterns for any business model — so you walk into every partner meeting with the questions that matter.
Every query searches our curated failure database and returns a structured analyst briefing — not a list of links.
Query 4,000+ confirmed startup failures by sector, country, reason, and year. Built for VC due diligence and competitive intelligence.
Drop us a line and we'll help you pick the right plan for your fund size and workflow.
ValidPitch was built on a simple observation: VC diligence is thorough on financials, technical architecture, and reference calls — but almost nobody systematically checks whether the business model itself has a documented graveyard.
We spent months curating a proprietary dataset of thousands of startup failures — with failure reasons, funding data, investor patterns, and narrative summaries — sourced from founder post-mortems, press coverage, and regulatory filings across 40+ countries.
We layered AI on top to do one thing well: when you describe a business, surface the closest historical analogues and tell you what killed each one. Not a prediction. Pattern intelligence — the kind a well-read analyst builds over a career, available in 30 seconds.
Our methodology: The Pattern Risk Score reflects how frequently each failure mode appeared across matched historical cases. It is AI-generated from matched cases — not a statistical prediction about any specific company.
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Questions about the dataset, methodology, pricing, or API access — we're happy to talk. We also welcome suggestions for failure cases we should add to the database.