Jan 14, 2026
Erez Druk, CEO of Freed, was motivated to bring technology to the healthcare environment based on his wife's experience as a family medicine doctor. Freed was founded to alleviate the provider's administrative burdens by leveraging AI to streamline pre-visit preparation, billing, and EHR maintenance. The focus is on small and rural private practices, giving them tools to save time, reduce costs, and maintain their independence.
Erez explains, "So the need that I identified, together with my wife Gabi, was that clinicians need more time in their lives. They want to spend less time on this admin work and more time again with their patients and families. And that was it, thinking about how we can use these new technologies and feel better products that really take care of that, help clinicians be happier and freer, hence the name Freed. Yes, super proud now to be supporting more than 25,000 clinicians who will use Freed to do a lot of this work for them. So that's how the need was identified for years of watching the pain, let's say."
"But my background is, so I studied mathematics and computer science back in Israel. So I'm originally from Israel. In the Technion, we like to think of Technion as the MIT of Israel. So I studied there as an undergrad, and then I moved to the Bay Area to work for Facebook as an engineer. I was very lucky to start on the same day on the same team with this guy named Andrey, who, 10 years later, after lots of convincing, is my co-founder and CTO. So he is the real technical brain behind what we're doing here. So I worked as an engineer and tech lead at Facebook, and then I started working in my first startup called UrbanLeap."
"And with EHR integration- I'm going a bit into the weeds here- but EHR integration is a big problem in healthcare that is mostly unsolved. So, we built an agent, which we call "EHR Push," that goes into the EHR and, like a human, finds the right fields, navigates to the right places, and puts the note and everything in the EHR for the clinician. And it's working amazingly. It saves clinicians a lot of time. And that's another example of how we apply this agentic AI to solve more and more complex problems for the clinician, keep it simple, and just save as much time as we can for clinicians."
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