Ayble Health Raises $16 Million for Virtual Digestive Care
Ayble Health announced in a press release that it closed a $16 million Series A round led by Neon. Unum Ventures, Upfront Ventures, M13, Cleveland Clinic Ventures, DigiTx, Accomplice, and strategic investors also participated, bringing total funding above $27 million.
The company will use the funding to develop its care model, which combines AI with clinicians, and improve personalized patient engagement and care delivery. It also plans to expand beyond gastrointestinal care into other complex therapeutic areas, starting with autoimmune conditions.
Ayble operates a virtual gastrointestinal clinic staffed by providers, dietitians, behavioral health specialists, pharmacists, health coaches, and care coordinators. The company says its partnerships with insurers, employers, and health systems give more than 80 million Americans access to its services.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly, AI Funding Brief or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Sep 16 Remepy Names Eran Harary Chief Medical Officer Sep 16 MRO Acquires Vyne Medical to Expand Clinical Data Platform Sep 16 Standigm and Protai Start AI Molecular Glue Research Program Sep 16 Study Finds Most Patients Combine AI With Other Health Sources Sep 16 Scrum Alliance and Johns Hopkins Launch Healthcare AI CoursesMore from Funding
Sep 16 MRO Acquires Vyne Medical to Expand Clinical Data Platform Sep 16 Quorum Cyber Agrees to Acquire Ontinue Sep 16 OpenAI Weighs Funding at $1.2 Trillion Valuation Before IPO Sep 16 Hello Patient Acquires Converse Health to Add Back Office AI Agents Sep 16 Factory Raises $200 Million at $5 Billion ValuationLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
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
Onos Health Raises $17 Million for Behavioral Health AI Platform
UrgentIQ Raises $15 Million for AI Clinical Workflows
Kairon Health Raises $5 Million for AI Care Operations Platform
Gestala Raises $84 Million for Ultrasound Brain Interface Work
World Class Health Introduces AI Specialty Clinic
Daily AI Brief: the AI news that matters, in your inbox.