Evidium Secures $22 Million In Series A Funding To Advance Computational Medical Knowledge

By Amit Chowdhry ● Yesterday at 11:01 PM

Evidium has closed a $22 million Series A funding round to expand its computational medical knowledge platform and accelerate the development of transparent, clinical-grade artificial intelligence. The round was co-led by Health2047, the venture studio of the American Medical Association, and WGG Partners, a deep-tech fund known for backing companies such as x.AI, Perplexity, and Innovaccer. Additional participation came from Interwoven Ventures and Mindset Ventures.

Based in San Francisco, Evidium is focused on building artificial intelligence that relies on computational knowledge and traceable reasoning. The new capital will support product development, deepen clinical modeling capabilities, and scale commercial operations. The company is preparing strategic hires across AI research engineering, clinical science, and business development to meet rising demand from insurers, health plans, medical risk organizations, and provider networks.

Evidium’s platform is designed to convert medical evidence into transparent, precision intelligence that healthcare stakeholders can use to understand patient journeys, predict medical and cost trajectories, and improve outcomes. Its products include quality insights for clinicians and care teams, probabilistic forecasting tools for insurers and integrated delivery networks, and advanced clinical and cost modeling solutions that help organizations analyze condition-level care pathways.

The company will continue expanding its roadmap with products tailored for clinicians, health plans, risk-bearing organizations, and the life sciences sector. Evidium emphasizes a precision-first approach that allows experts to review and validate the logic behind every insight, enabling shared understanding across care and coverage environments.

Customers gain access to transparent and non-opaque insights that augment existing tools, including generative AI, with clinically grounded and fully traceable reasoning. This approach supports faster learning cycles, stronger knowledge diffusion, and reduced fragmentation across the healthcare ecosystem.

KEY QUOTES

“Healthcare runs on knowledge, but until now, much of that knowledge has been locked in text, statistics, and silos. We’re solving this challenge by making medical knowledge computational and AI more reliable. We enable healthcare leaders to see opportunities for improvement more clearly, reason more precisely, and share timely insights. This shared foundation helps experts across the system.”“Healthcare is a knowledge-driven industry where the accessibility and integrity of that knowledge directly impacts outcomes and costs. As a first principles team, we’ve focused on knowledge integrity from day one.”

Carl Bate, Founder And CEO, Evidium

“Healthcare’s future depends on systems that can learn, explain, and enhance the role of physicians. Evidium is advancing that kind of system—one where knowledge isn’t trapped in charts or claims data but continuously refined through use.”

Lawrence K. Cohen, CEO, Health2047

“Evidium’s substrate powers how AI systems reason in high-stakes domains – delivering a new class of reliable and precision insights healthcare leaders can act on.”

Herb Madan, WGG Partners

“Building on our strong quality insights and performance record with health systems, we are now harnessing Evidium’s platform with insurers and others across the risk spectrum.”

Rajiv Sood, General Manager Of Insurance And Risk, Evidium

“Our customers are provided with non-black-box insights in support of their work – every prediction and insight is fully traceable back to the clinical evidence and logic that produced it. In turn, enabling faster learning cycles and knowledge diffusion. Our products augment existing tools including generative AI with clinically grounded, fully transparent logic.”

Evidium Representative

 

 

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