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Founder / Operator·RCM

Hamid Tabatabaie

President and CEO at CodaMetrix

Boston, Massachusetts, USA

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Why they matter

Serial healthcare IT founder (AMICAS, lifeIMAGE) now CEO of CodaMetrix, the Mass General Brigham spinout applying AI to medical coding, with roughly $95M raised since 2023.

Background

Hamid Tabatabaie is a three-time healthcare IT founder-CEO with 30+ years in medical informatics. He was the first CEO of AMICAS, building it into an image-management leader, then co-founded and led lifeIMAGE, the most widely used cloud network for exchanging diagnostic imaging. Since 2019 he has led CodaMetrix, the AI medical-coding platform spun out of Mass General Brigham, as President and CEO.

Notable deals

  • 2024
    Closed CodaMetrix's $40M Series B led by Transformation Capital to scale autonomous medical coding across health systems
  • 2023
    Raised CodaMetrix's $55M Series A led by SignalFire, with Frist Cressey Ventures, Martin Ventures, Yale Medicine and Mass General Brigham physician organizations participating
  • 2016
    As co-founder and CEO of lifeIMAGE, raised a $17.5M growth round led by Cambia Health Solutions with MassVentures participating

Call-prep brief

Background

  • 30+ years in medical informatics; engineering degree from Boston University.
  • First CEO of AMICAS, an early web-based medical image management company; took it from concept to category leader.
  • Co-founded lifeIMAGE (2008) with Amy Vreeland, building the largest cloud network for diagnostic image exchange; the company was later acquired by Intelerad.
  • President and CEO of CodaMetrix, the AI medical-coding platform spun out of Mass General Brigham, since its 2019 founding.

Current focus

  • Scaling autonomous, multi-specialty medical coding across major US health systems; expanding beyond coding into claims adjudication and prior authorization.
  • Deploying the $40M Series B (Transformation Capital, March 2024) on go-to-market and specialty coverage.

What they care about

  • AI as augmentation: freeing coders for complex cases, not replacing them.
  • Turning claims data from "notoriously unreliable to clinically valuable"; provider-born credibility (MGB, Yale, CU Medicine as investors and customers).

Potential sensitivities

  • Crowded AI-RCM market with well-funded rivals; avoid framing CodaMetrix as a coding vendor rather than a platform.
  • Health-system data partnerships are strategic; will not discuss customer specifics.
  • Likely fielding frequent PE/VC inbound post-Series B — be specific about your angle.

Questions to ask

  • Which specialties show the highest automation rates today, and what gates expansion into the rest?
  • How does the Mass General Brigham relationship shape the data moat versus newer LLM-native entrants?
  • Is the roadmap toward prior authorization and adjudication organic, or does it imply M&A appetite?

Outreach draft

Subject
Autonomous coding — a quick question
Hamid, I work with an investment team spending real time in revenue-cycle AI, and CodaMetrix keeps coming up as the credible provider-born platform in a noisy field. Your path from AMICAS through lifeIMAGE to autonomous coding gives you a vantage point on medical imaging and RCM that few operators have. We are not pitching services — we would value 30 minutes of your perspective on where autonomous coding is genuinely defensible and where the market is overhyped, and to share what we are seeing across adjacent RCM assets. Would a brief call in the next two weeks work? Best, [Your name]

Linked companies

Sources