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Optura's $17.5 million funding aims to solve the healthcare industry’s growing need to assess ROI from AI investments, as adoption surges but quantifiable benefits remain elusive.
Salesforce Ventures, Echo Health Ventures, and other investors have poured $17.5 million into Optura, a startup that helps healthcare organizations measure the business value of their artificial intelligence (AI) investments. The funding comes at a critical juncture as the healthcare industry accelerates its adoption of AI technologies but struggles to quantify their returns.
According to an analysis from Menlo Ventures last fall, the healthcare sector is deploying AI at more than twice the rate of the broader economy. In 2025, investments in AI healthcare companies represented 46% of total spending, totaling $18 billion, as reported by Silicon Valley Bank. Despite this significant investment, many organizations are not seeing measurable results from their AI initiatives.
A July 2025 report from MIT's NANDA initiative revealed that 95% of enterprise generative AI pilots failed to deliver a measurable return on investment (ROI). This stark statistic underscores the need for better tools and frameworks to assess the value of AI in healthcare.
Optura, co-founded by Andy Fanning and Michael Hollis, launched a year ago with a mission to transform AI from a buzzword into a working system. The company has developed a platform that enables healthcare organizations to quickly assess the business value and viability of AI investments, prioritize these initiatives, and provide real-time visibility into their impact.
The Optura platform introduces a framework called Return on AI Investment (ROAI), which helps enterprises understand, project, and track value creation for technology initiatives. This framework is designed to give healthcare organizations the control and visibility they need to make informed decisions about where to allocate their AI dollars.

Optura has raised $25 million in total funding to date, including a $6.5 million seed round from Susa Ventures and Matrix Partners last year. The latest series A round, led by Salesforce Ventures, also saw participation from Echo Health Ventures and continued investment from Susa Ventures, Matrix Partners, and HC9 Ventures.
The $17.5 million series A funding underscores the growing recognition of the need for tools that measure AI's business value in healthcare. As the industry continues to invest heavily in AI technologies, platforms like Optura’s will become increasingly important for ensuring that these investments yield tangible returns.
For investors and stakeholders, this funding round highlights a strategic opportunity in a market where AI adoption is accelerating but ROI remains elusive. By providing clear metrics and insights, Optura aims to bridge the gap between AI investment and measurable business outcomes, potentially unlocking significant value for healthcare organizations and their shareholders.
The success of Optura’s platform could also influence broader trends in AI investment across industries. As more enterprises adopt similar frameworks to assess and track ROI, the overall effectiveness and adoption of AI technologies may see a substantial boost. For now, the focus remains on delivering measurable results in the healthcare sector, where the stakes are high and the potential for impact is immense.
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Salesforce Ventures, Echo Health Ventures back Optura's $17.5M series A to track AI performance
↗ https://www.fiercehealthcare.com/ai-and-machine-learning/salesforce-echo-health-ventures-backs-opturas-175m-series-track-value-ai
About the author
Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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14 May 2026
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