
NASHVILLE, Tenn. – May 20, 2025 – Optura, the first AI orchestration platform purpose-built for healthcare enterprises, today announced its launch with $6.5 million in seed funding led by Susa Ventures and Matrix. The company was founded by industry veterans Andy Fanning, former VP of AI/Automation at Cigna, and Michael Hollis, former President and CGO of Emids to orchestrate a critical transition for healthcare organizations: moving from disconnected AI pilots to enterprise-scale implementations that deliver measurable value.
“While health systems and companies are currently investing billions in AI, most initiatives remain stuck in the pilot phase, with less than 30% making it to production,” said Andy Fanning, CEO of Optura. “We built Optura to show executives if and how their AI pilots are delivering value, and to guide the implementation of scaled solutions. We offer the orchestration layer, governance, and visibility leaders need to turn AI potential into real solutions that improve care for patients and deliver a return on investment.”
Optura is designed specifically for healthcare enterprises, with a focus on health plans and tech-enabled service companies. The platform pulls disconnected AI pilots into a unified dashboard that quantifies and dissects ROI, creating quantifiable outcomes that can go directly into the P&L. Early implementations have shown the potential to unlock tens of millions in value for health plans within months of deployment.
“Optura is on a mission to end innovation theater,” said Michael Hollis, President of Optura. “AI is no different from any other investment in that executives need to see the ROI, no matter how complicated it is to calculate. We’ve taken that challenge head on and are proud to offer the first platform that expertly delivers the business intelligence to get a real return on AI investment.”
Healthcare leaders are eager to apply AI to challenges within their organization, with billions being spent on pilot implementations. However, the complexities and governance challenges of business goals in healthcare means it’s difficult to know which pilots are working as designed. Where does it make sense to double down and where should a pilot be ended sooner? Without clear visibility leaders are stuck in small-scale experiments that will never deliver scaled results. Optura addresses these challenges through its integrated platform that includes:
- The Intent Engine: An AI business analyst that helps define what organizations want to accomplish
- The Operator: Managing value tracking, monitoring, and reporting
- The Librarian: A knowledge center continuously learning the business of the enterprise, and how it interacts with broader systems, regulations, and standards
“Optura can achieve millions in cost savings for a typical healthcare enterprise,” said Fanning. We take a messy, disconnected tool kit of AI experiments and turn it into a streamlined program with continuous improvement built in. Wasted resources occurring are quickly evident and excised.”
“Despite all the headlines, AI in healthcare has a scaling problem. What’s holding it back isn’t a lack of ideas or talent—it’s a lack of orchestration,” said Chad Byers, Co-Founder and General Partner at Susa Ventures. “We believe Optura is poised to become an essential layer in the healthcare tech stack—and we’re thrilled to be part of the journey.”
The new funding will accelerate Optura’s product development and go-to-market efforts, with a focus on expanding its library of pre-built AI agents for common healthcare use cases and growing its implementation team.
Optura is the first AI Operating System purpose-built for healthcare. We unify the AI assets of an entire enterprise into one ecosystem so leaders can make metric-driven decisions and move from pilot to scale quickly. Our goal is to end “AI paralysis” by turning AI potential into real financial and operational impact. The company is backed by Susa Ventures, Matrix Partners, and strategic angels from the healthcare and technology industries. To request a demo, visit optura.ai.