Health Universe has closed a $6 million seed round led by Kleiner Perkins to expand its AI workflow platform for healthcare organizations. The funding brings the company’s total raise to $9.5 million.
The platform connects medical records from national databases to secure workspaces where healthcare organizations can quickly build and deploy AI agents. Health Universe says it can help hospitals set up automated workflows in days rather than the months typically required.
How does it work?
Health Universe pulls medical records from the National Interoperability Network and the Trusted Exchange Framework and Common Agreement (TEFCA) through its partner network Kno2. The platform then connects these records to a secure, ONC-certified workspace.
“We can take the highest priority use cases of an organization, and we can build and deploy agents quickly, sometimes in just a matter of days,” said Dan Caron, founder and CEO. The agents use foundation models like ChatGPT, Claude, or Gemini, plus custom fine-tuned models.
The platform includes several key components:
- Governance and compliance tools for healthcare regulations
- Human oversight controls for AI decisions
- Security monitoring and observability features
- Integration with existing hospital systems
Why does it matter?
The platform addresses a major bottleneck in healthcare AI adoption. While hospitals want to use AI tools, they often lack the technical infrastructure to deploy them safely and quickly.
Health Universe’s impact shows in real results. Duke Clinical Research Institute used the platform to set up a clinical trial in 7.5 days. The same process typically takes 9 to 10 months using traditional methods.
“I want to live in a world where any clinician anywhere can run the latest and greatest breast cancer detection model, whether that model comes from Stanford or Harvard or Japan,” Caron said. “We need to be able to disseminate this innovation much more quickly.”
The context
Healthcare organizations face unique challenges when adopting AI technology. They must comply with strict regulations, protect patient data, and ensure human oversight of automated decisions. Many hospitals lack the technical teams to build these systems from scratch.
Health Universe plans to use the new funding to expand its sales and marketing efforts, hire more engineers and data scientists, and deepen integrations with oncology and clinical research teams. The company will focus on academic medical centers, life sciences organizations, and health systems.
The platform aims to become a distribution network for healthcare AI tools, allowing researchers and machine learning engineers from different medical centers to share and deploy models more easily across the healthcare system.