Tennr Tech Stack

Healthcare automation platform for referral and prior-auth workflows

Software Development New York, NY 201–500 employees Founded 2021 Privately Held

Tennr automates referral-to-treatment workflows for healthcare providers using a proprietary vision-language model trained on medical records. The tech stack (React, Python, Salesforce, Jira, Monday.com) skews operational and sales-focused rather than ML-heavy, despite the company's core reliance on document intelligence — suggesting Tennr's competitive moat is in the model and domain logic, not infrastructure. Active hiring across engineering, sales, and support indicates scaling toward enterprise implementations rather than product-led growth.

Tech Stack 21 technologies

Core StackJavaScript TypeScript Ashby Greenhouse Lever Salesforce Gong Monday.com Asana Jira NetSuite QuickBooks React Figma Adobe Creative Cloud Python LinkedIn Recruiter Outreach Excel HTML CSS

What Tennr Is Building

◆Challenges

Manual referral qualification process
Delays and denials
Overwhelmed referral volume
Delayed specialist referrals
Overwhelmed specialists
Delays in referral processing
Reducing care delays
Cutting denials
Denials due to incomplete info
Manual fax conversion

▲Active Projects

Enterprise-scale implementations end-to-end
Health score reporting tool
Worker forecast dashboard
Data request ticketing system
Operational audits to identify workflow gaps
Automation solutions for large-scale health systems
High-volume workflow automation
Scalable data processing and machine learning infrastructure
Performance optimization initiatives
End-to-end implementations for enterprise partners

Hiring Activity

Steady40 roles · 15 in 30d

Department

Engineering

Sales

Design

Product

Support

Marketing

Data

Seniority

Senior

Mid

Manager

Junior

Staff

Director

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About Tennr

Tennr is a healthcare operations automation platform founded in 2021, based in New York, with 201–500 employees. The company targets healthcare providers and payers struggling with manual referral qualification, prior-authorization delays, and first-pass denials. Core product surfaces include document intake and interpretation (using RaeLM, a vision-language model trained on medical records), referral triage, and payor-readiness checks. Current project focus spans enterprise-scale rollouts, health-score dashboards, workforce forecasting tools, and high-volume workflow automation for large health systems.

HeadquartersNew York, NY

Company Size201–500 employees

Founded2021

Hiring MarketsUnited States

Frequently Asked Questions

What is Tennr's core technology?

Tennr's RaeLM is a vision-language model trained to interpret unstructured medical records and evaluate them against payor criteria. The platform automates referral qualification and documentation validation to reduce first-pass denials and accelerate time-to-first visit.

What problems does Tennr solve?

Tennr addresses manual referral qualification, referral processing delays, specialist overwhelm, and denials due to incomplete or unpayor-ready documentation. The platform automates end-to-end referral triage and ensures documentation meets payor requirements before submission.