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  • NYC-based Tennr, which uses AI document parsing and workflow . . .
    NYC-based Tennr, which uses AI document parsing and workflow automation to cut patient waiting times, raised a $101M Series C led by IVP at a $605M valuation — Tennr founders from left: Trey Holterman (co-founder CEO), Tyler Johnson (co-founder CTO), Diego Baugh (co-founder Chief Product Officer)
  • Convert every - Tennr
    Tennr streamlines the pre-visit process so you can run a high-performance pipeline and get paid faster Convert more referrals Solve document review, information gaps, and referring provider visibility without asking more of your team
  • Product | Tennr
    Here's How The most advanced models in healthcare Tennr is trained on over 100M medical documents, 2 3B distinct data fields, and 8,000 sets of criteria
  • About Us - Tennr
    Tennr takes you from fax to first visit, faster Ensure payor-ready documentation, boost conversions, and cut denials We just raised a $101M Series C to bring
  • The Messy Inbox Problem: Wedge Strategies in AI Apps
    Tennr, one of a16z’s portfolio companies, replaces this entire workflow with their platform by first solving this messy inbox problem They’ve trained their own LLMs (on a corpus of 3 million medical records) which allows them to extract patient information accurately (and programmatically) from the practice’s faxes, emails, call
  • Investing in Tennr - Andreessen Horowitz
    The result is a powerful product called Tennr, which is anchored around understanding unstructured inputs and doing the work that comes after It can apply AI reasoning and decision-making to perform end-to-end workflows that are much more complex than what legacy solutions can support
  • Tennr
    Tennr





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