We deliver high-quality, affordable healthcare to employees through text. Employers cut 10-20% of their annual spend. Employees get concierge healthcare they love.
Rovi helps employees access high-quality, cost-effective healthcare. We text employees the best in-network options at exactly the right moment, and handle all the complexity.
Launch video: https://www.youtube.com/watch?v=mKNB0CF8_9Y
Healthcare costs are crushing employers. 2025 is seeing a 9% rate hike, the worst in a decade. A 1,000-person company now faces over $1M in cost increases annually, compounding.
Employers’ only options are to cut benefits or redesign their entire plan. Both take months and frustrate employees.
What if Employers could offset these costs by adding benefits instead?
Price and quality have no correlation in healthcare:
So why does everyone end up with the expensive option?
Rovi does the hard work. Our AI agents analyze terabytes of pricing data, research every provider's quality metrics, and surface options matching each person's preferences for cost, convenience, and availability. Making good healthcare decisions drives down costs for both the employee and the employer.
We save employers 10-20% on healthcare spend while improving care outcomes and delivering a health benefit that employees love.
We've already signed contracts to roll out to thousands of employees across multiple employers for the 2025-2026 plan year.
We're brothers on a mission to build AI-native health insurance that members love.
Santosh was previously building Cedar's affordability products, scaling to millions in ARR by closing enterprise deals with the country's largest hospital systems. Before that, he led a 30-person GTM & Customer Success team at AngelList. He’s also a licensed health insurance broker.
Tarun built foundational AI models to predict extreme weather events at UChicago, where he earned a Master's in AI and high-performance computing. He has a B.S. in biology from Cornell, and is obsessed with using AI to solve healthcare's messiest data problems.