Check a market before building
TinySet builds a dataset of AI medical scribe apps. TinyResearch looks for the gaps a new one could fill.
TinySet
Dataset · 50 rowsAI medical scribe apps, with company, pricing, funding and launch year
| Product name | Company | Pricing | Funding (USD millions) |
|---|---|---|---|
| Freed | Freed | $99 per provider per month | 34 |
| Abridge | Abridge | From $250+/provider/mo | 757.5 |
| Heidi | Heidi Health | Free tier + $110 per user per month | 436.6 |
| DeepScribe | DeepScribe | From $300 per provider per month | 37 |
| Doximity Scribe | Doximity | Free | |
| Dragon Copilot | Microsoft | $444–$600 per provider per month | |
| DAX Copilot | Nuance | Custom pricing | |
| Heidi Health | Heidi | Free tier; paid from $110/mo | 440 |
TinyResearch
ReportIs there room for a new AI medical scribe, and where are the gaps?
The AI medical scribe market is real, large, growing rapidly, and generating genuine clinical value—but it is also increasingly crowded at the top, commoditizing quickly, and riddled with specific gaps a focused new entrant could exploit. The market crossed an estimated $1.7–1.8 billion in 2025 and is projected to reach $3–10 billion by 2031–2035 depending on scope [4][26]. Adoption has been explosive: approximately 92% of U.S. health systems are deploying, piloting, or implementing AI scribes as of early 2026 [55], with physician adoption at UCSF reaching 70% [25] and roughly 30–40% of U.S. practices using some form of AI documentation tool [2][15].
