Tennr is addressing the notorious "black hole" of healthcare: the manual, fragmented process of patient referrals. By embedding automated voice capabilities directly into its platform, the startup aims to eliminate the administrative bottlenecks that occur when documents move between primary care doctors and specialists.

At the heart of the system is RaeLM, a proprietary vision-language model specifically architected for the healthcare sector. Unlike generalized models that might struggle with the chaotic layout of medical forms, RaeLM was trained on over 100 million anonymized documents. This allows it to "read" clinical notes, scanned faxes, and complex insurance checkboxes with high precision, effectively translating messy paperwork into actionable digital data.

The new voice AI feature represents a strategic shift toward full-cycle automation. Rather than just identifying missing insurance information, the system can now autonomously call patients or payers to retrieve it. CEO Trey Holterman notes that while voice technology is becoming a commodity, its value lies in deep integration within existing clinical workflows, allowing front-office staff to focus on patient care rather than repetitive dialing.

Tennr is addressing the notorious "black hole" of healthcare: the manual, fragmented process of patient referrals. By embedding automated voice capabilities directly into its platform, the startup aims to eliminate the administrative bottlenecks that occur when documents move between primary care doctors and specialists.

At the heart of the system is RaeLM, a proprietary vision-language model specifically architected for the healthcare sector. Unlike generalized models that might struggle with the chaotic layout of medical forms, RaeLM was trained on over 100 million anonymized documents. This allows it to "read" clinical notes, scanned faxes, and complex insurance checkboxes with high precision, effectively translating messy paperwork into actionable digital data.

The new voice AI feature represents a strategic shift toward full-cycle automation. Rather than just identifying missing insurance information, the system can now autonomously call patients or payers to retrieve it. CEO Trey Holterman notes that while voice technology is becoming a commodity, its value lies in deep integration within existing clinical workflows, allowing front-office staff to focus on patient care rather than repetitive dialing.