Participated · Series A · Nov 2025

WellBeam is a Redwood City–based healthcare technology company focused on improving care coordination between acute and post-acute providers through seamless interoperability and EMR integration. Its platform allows health systems, physician networks, and independent medical groups to exchange clinical data and manage clinical workflows without leaving their existing EMR environments. By embedding connectivity into current systems, WellBeam aims to reduce administrative friction and improve patient transitions of care. Led by co-founder and CEO Amee Devani, the company counts health systems, physician groups, and post-acute partners among its customers. WellBeam plans to use its newly raised capital to accelerate growth and broaden its interoperability infrastructure across additional health systems and physician groups. The recent financing marks a key milestone in scaling its technology and market reach. No revenue or user metrics were disclosed in the article.

Led · Series C · May 2025

Rad AI develops generative AI products for radiology, including Rad AI Impressions, Rad AI Reporting, and Rad AI Continuity, that are embedded into radiologists' workflows. Its Impressions product automates the impression section and saves radiologists more than an hour per shift on average. Rad AI Reporting includes features such as Omni Unchanged and Omni Report, which cut follow-up dictation time by 50%, reduce spoken words by 90%, and can double reporting speed. Rad AI Continuity automates tracking and coordination of incidental findings and has improved follow-up exam completion rates from approximately 30% to over 75% at users. The platform is trusted by thousands of U.S. radiologists and supports providers responsible for nearly half of all imaging volume in the U.S. The company is scaling enterprise deployments across hospitals and clinics with health-system partners to expand adoption and improve care coordination and efficiency. Rad AI develops generative AI solutions for radiology including Rad AI Impressions, Rad AI Reporting, and Rad AI Continuity that automate draft report text, reduce dictated words, and close the loop on actionable findings. Its flagship Rad AI Reporting can reduce dictated words by up to 90% and save providers up to 50% of their time; Rad AI Continuity has raised follow-up rates at health systems from about 30% to 75% or more. The company's products are used by thousands of U.S. radiologists daily and are deployed at health systems and practices that account for nearly 50% of U.S. medical imaging. Rad AI says it was the first to commercialize a generative AI product in healthcare and has been recognized by CB Insights and AuntMinnie for its products. The company is hiring across roles and plans to accelerate development and deployment of its generative AI technology to healthcare providers and systems globally. Rad AI builds software that generates radiology reports, aiming to cut the time radiologists spend on documentation. The company developed a proprietary LLM trained on radiology report datasets to automate findings and impressions. Rad AI says it began using LLMs in 2018 and positions itself as an early adopter of generative AI in radiology. Its products are used by about a third of U.S. health systems and nine of the 10 largest radiology groups. The company has raised over $80 million in total capital after a $50M Series B and plans to use the fresh funding to build a team to deploy a standalone radiology reporting solution. Rad AI is hiring staff to install and maintain the software and reports it has not lost a single customer since launch. Rad AI provides an AI platform that automatically generates customized impressions from dictated findings and clinical indications, learning each radiologist’s language preferences from prior reports. Its core offerings, Rad AI Omni and Rad AI Continuity, aim to improve report accuracy and consistency, surface significant incidental findings, and provide guideline-based follow-up recommendations. Omni injects the impression directly into the practice’s voice recognition software without extra clicks or windows, while Continuity closes the loop on follow-up by integrating into health systems’ EMRs and offering an outpatient platform. The company emphasizes time savings for radiologists, improved report processes, and reduced burnout. Rad AI is working with seven of the ten largest private radiology practices in the U.S. and plans to use new funding to further develop and commercialize its products. Rad AI, founded in 2018 by Doktor Gurson and Dr. Jeff Chang in Berkeley, Calif., builds machine-learning tools to automate repetitive radiology tasks. Its first product automatically generates the impression section of radiology reports, customized to each radiologist's preferred language. The company raised $4M in seed funding to build out its engineering team and expand the rollout of its first product to more radiology groups and customers. The round was led by Gradient Ventures, with participation from UP2398, Precursor Ventures, GMO Venture Partners, Array Ventures, Hike Ventures, Fifty Years VC and various angels. Current partners include Greensboro Radiology, Medford Radiology, Einstein Healthcare Network and Bay Imaging Consultants, along with other radiology groups yet to be announced.

Led · Series A · Sep 2024

Segmed provides real-world medical imaging data to life-sciences, health care and technology firms via a proprietary platform that acquires, de-identifies, standardizes, and delivers imaging studies. The company supports biopharmaceutical R&D, AI/ML development and real-world imaging data (RWiD) use cases. Segmed partners with health-care locations and imaging clinics across five continents to source the studies researchers and developers need. Led by CEO Martin Willemink, the company intends to use the Series A proceeds to further expand its medical imaging solutions for AI development and real-world evidence. Financially, Segmed raised $10.4M in a Series A and previously received financing from Flashpoint Growth Debt Fund in 2023. The company is headquartered in Palo Alto, California. Segmed offers a cloud-based real-world imaging platform, Segmed Insight, that enables medical researchers and AI developers to search, view studies and reports matching their criteria, and construct custom datasets. After placing an order users receive data in hand within days. The company has signed partnerships with healthcare systems, hospitals and imaging clinics across 1,000 locations on five continents. Led by CEO Martin Willemink, Segmed is based in Palo Alto, California. It raised $5.2M in a Seed+ round and has now raised more than $10M to date. The company intends to use the funds to accelerate growth, expand operations and broaden its business reach. Segmed is a secure, cloud-based platform that curates medical data by anonymizing, standardizing and labeling it to accelerate innovation in healthcare. Led by co-founder and CEO Cailin Hardell, the company partners with diverse healthcare providers around the world to source data. It standardizes and indexes medical data via a sequence of proprietary algorithms and enables customers to build customized datasets. Segmed positions itself as a shop for rapid, low-cost data aggregation and standardization for medical AI development. The company maintains strict HIPAA compliance and only uses and shares data that is fully anonymized. Financially, Segmed closed a $2M seed funding round in March 2020 to support its platform.