
The intelligent automation platform for healthcare operations.
What: Healthcare operations automation for provider back-office workflows (referral intake, intake & eligibility, benefits investigation, communications)
Stage & raise: Series C — $101M
Lead investors: IVP (Series C lead); participation from Lightspeed, GV, Andreessen Horowitz, ICONIQ Capital, Foundation Capital; investor Frank Slootman listed
Scale claims: Processes 10M+ documents per month; trained on 100M+ medical documents
HQ & founding: New York City; founded 2021
Founding team: Trey Holterman (CEO, Co-Founder); Diego Baugh (CPO, Co-Founder); Tyler Johnson (CTO, Co-Founder)
Healthcare operations automation (provider back-office workflows, referral/intake workflows)
2021
Healthcare
$101M
Round reported to value company at approximately $605M; participation reported from Lightspeed, GV, Andreessen Horowitz, ICONIQ Capital, Foundation Capital; investor Frank Slootman listed among backers.
“Backed by well-known late-stage venture investors; Series C led by IVP with participation from Lightspeed, GV, Andreessen Horowitz, ICONIQ Capital, Foundation Capital, and investors including Frank Slootman.”
About Tennr: Today, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLM™ (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster.
Tennr is a NYC-based tech company that launched out of Y-Combinator and is backed by Lightspeed Venture Partners, Andreessen Horowitz, Foundation Capital, The New Normal Fund, and other top investors.
As an AI Engineer at Tennr, you’ll bridge the gap between cutting-edge ML research and real-world product delivery. You’ll help build intelligent systems that use LLMs, vision models, and structured automation to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare.
Qualifications
Compensation Range: $200K - $240K