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Collectly

Automated patient billing for medical groups

Our take

Collectly is a patient billing and revenue cycle automation platform for medical groups and ambulatory practices. It replaces paper statements with text and email billing, gives patients self-serve payment and payment plan options, and runs automated follow-up until balances resolve. Its current platform adds AI agents that answer patient billing questions, and it connects to more than 30 EHR and practice management systems, having started as an app built on the DrChrono API.

Founded in 2017 by Levon Brutyan and Maxim Mizotin and based in the Los Angeles area, Collectly came through Y Combinator and raised a $29M Series A led by Sapphire Ventures in 2023, bringing its total to about $34M. The company reports engaging over 300,000 patients daily, revenue growing more than 3x year over year, and results like 75% higher patient collections with DSO around 12 days. It is the mid-market counterweight to Cedar: faster to deploy and priced for groups, but a much smaller company.

What it does

  • Digital-first patient statements by text and email
  • Self-serve payments and flexible payment plans
  • AI agents answer patient billing questions
  • Automated follow-up sequences until balance resolution
  • Collections and DSO analytics for billing teams
  • Connects to 30+ EHR and PM platforms

Where it's strong

  • Purpose-built for medical groups and ambulatory practices, with quick EHR-connected deployment instead of an enterprise implementation.
  • Publishes strong outcome claims: patient collections up 75%, DSO down to about 12 days, 93% patient satisfaction.
  • Sapphire-led $29M Series A and 3x annual revenue growth suggest real momentum in the mid-market.

What buyers should weigh

  • It has raised $34M against far larger competitors like Cedar, so weigh long-term vendor durability for enterprise commitments.
  • Named customers are scarce in public materials; insist on references from groups your size and specialty.
  • Hospital-scale organizations with deep Epic workflows are outside its sweet spot.

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