Freed is an AI medical scribe and clinician assistant built to relieve the documentation burden that drives clinician burnout, with a distinctive bottom-up, clinician-first go-to-market. Co-founded in 2023 by former Facebook engineers Erez Druk (CEO) and Andrey Bannikov (CTO), the company was inspired by Druk's wife, Dr. Gabi Meckler, a community-clinic physician who, like many clinicians, spent hours outside of patient care updating records and paperwork. Freed set out to automate that work so clinicians can focus on patients.
The product listens to patient visits, transcribes the conversation, and automatically generates accurate clinical notes and documentation, reportedly saving each clinician two to three hours per day. Rather than selling top-down to health systems first, Freed sells directly to individual clinicians, frequently at small or independent practices, for a simple flat fee of about $99 per month. This self-serve, prosumer model has driven rapid adoption among clinicians who feel underserved by enterprise documentation tools.
That strategy produced a notable milestone: Freed reached 20,000 paying clinician users, a large base for a young company in a competitive ambient-scribe market that also includes heavily funded players. The company is now beginning to expand from individual subscriptions into partnerships with entire practices, moving up-market while retaining its clinician-loved core product.
Freed raised a $30 million Series A in March 2025 led by Sequoia Capital, its first institutional capital, with participation from Scale Venture Partners and angels including Daniel Gross, Gokul Rajaram, and Ted Zagat, bringing total funding to roughly $34 million. The round supports product development and the move toward practice-level deployments.
For independent clinicians and small practices, Freed offers an accessible, affordable ambient scribe with strong grassroots adoption, while the broader question is how it competes against enterprise-focused incumbents as it scales into larger practice and health-system deployments.