Fast, Transparent Patient Experiences
Healthcare provider-to-provider referral paperwork is trapped in fax/PDF workflows that require slow, error-prone manual data entry, delaying patient care.
Tennr uses an AI model (RaeLM) to read and digitize referral documents, verify missing details with providers, and automate patient scheduling via text.
Healthcare provider organizations (e.g., primary care and specialist clinics, hospitals) that process referrals and patient intake paperwork.
Former All-American rower, Computer science major and TA before going to work as a Software engineer at Strava. Left Strava to start a company with my former teammate Diego and former roommate Tyler. Outside of work, (pre-startup) I did standup whenever I had time
Grew up going to a school with no grades, then to Stanford, where I studied CS and was on the rowing team. Love learning, simple design, and decomposing hard problems (whether they're my own or listening to other people's). Hate to lose.
Tyler is the co-founder and CTO at Tennr. He met his co-founders, Trey and Diego, while studying at Stanford, and spent a year working in technical consulting before leaving to work with them. A dedicated midwesterner, he lives in Wisconsin with a lot of dogs!


