Medallion Secures $43 Million to Launch Credentialing Clearinghouse
Medallion has raised $43 million to expand its AI-powered platform and launch CredAlliance, the first national credentialing clearinghouse, announced in a press release. The funding round was led by Acrew Capital, with participation from Washington Harbour Partners and other investors.
CredAlliance aims to streamline the credentialing process by verifying providers once and sharing the results across participating payer networks. This approach is expected to reduce the duplicative efforts that cost the healthcare system an estimated $1.2 billion annually. The platform is already operational with several major national payers and is powered by Medallion's AI and automation engine, which enables real-time verification and reduces onboarding timelines.
The new capital will also be used to expand Medallion's AI platform to automate various workflows and to grow its market presence across health systems, provider groups, and plans. Medallion's platform currently supports approximately 1 million providers, helping healthcare organizations save significant administrative time and resources.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Funding Brief or Daily AI Brief.
Also, consider following us on social media:
More from Funding
Nov 15 Cohere completes AISLE acquisition and buys AI code review startup cubic Nov 14 mistEO raises Rs 18 crore seed round for AI weather and climate risk forecasting Nov 14 Anthropic IPO order book six times oversubscribed, but investors question its AI lead, Reuters reports Nov 14 Wolters Kluwer to buy AI clinical decision support company AgileMD for up to $100 million Nov 14 At least 18 US public pension funds already own part of Anthropic ahead of its IPO, Equable findsAI Funding Brief
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Midstream Health Raises $20M to Recover Hospital Payments
Mercor Raises $750 Million Series D at $20 Billion Valuation
Optum and Alameda Alliance Partner on AI Claims Automation
ACL Digital Launches AgentixCare for Healthcare Operations
LateralCare signs six US hospital associations to offer its AI revenue cycle platform
Daily AI Brief: the AI news that matters, in your inbox.