What the Earliest-Stage AI Healthcare Pipeline Actually Looks Like
From Someone Reviewing the Decks, Talking to the Founders and the Investment Community, and Writing the Checks
22 sections of proprietary data and analysis across 60+ pages — built from real deal flow, not scraped databases.
Healthcare SaaS dominates at 42%, but Diagnostics at just 14% is the most underbuilt vertical relative to its $30B+ market
Sub-niche maps, crowding analysis, and white space for each vertical: SaaS, Biotech/Pharma Tools, Medical Devices, and Diagnostics
Median pre-money valuations by stage and vertical. $7M at pre-seed, $12M at seed — pre-seed is inflated and likely unsustainable
Where AI healthcare is actually being built across 30+ countries and all 50 states. 70% of applicants are US-based
LLMs, computer vision, ML — the real technology breakdown from 670 pitch decks. 19% now mention LLMs, up from near-zero in 2023
Patterns from the decks that advanced furthest through the funnel — the traits that separate winners from noise
What is NOT being built: the gaps where demand outstrips supply, from dental AI to mental health biomarkers
Market predictions, founder profiles, business models, regulatory roadblocks, the investment funnel, exit landscape, and portfolio spotlights
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