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Lilypad Insurance Names Rajiv Matta Chief Innovation Officer to Drive AI-Powered Coastal Coverage
Lilypad Insurance announced on May 15 2026 that Rajiv Matta will assume the role of Chief Innovation Officer, positioning the New York‑based carrier to weave artificial intelligence into every layer of its coastal‑property business.
Matta’s mandate is clear: embed AI across underwriting, distribution and product development, while expanding Lilypad’s program portfolio. His arrival comes as the industry grapples with climate‑driven losses and mounting affordability pressures.
A two‑decade veteran of hazard analytics and machine‑learning patents, Matta earned a master’s in environmental engineering from Clemson University. He began his career consulting for the National Flood Insurance Program on flood‑map digitization, later managing hazard‑mapping projects for several states and conducting exposure studies for flood, hurricane, dam‑failure, precipitation and earthquake events.
In the 2000s he joined Tokio Marine’s technology division, where he built a flood model for Mexico and a hail model for Europe. He then moved to Assurant, creating new products and programs before leading the company’s international property‑and‑casualty business. At Millennial Specialty Insurance he helped grow a platform from $100 million to over $1 billion in premium. Throughout, he has held two machine‑learning patents that were deployed in commercial settings.
“Matta’s background in analytics and program building aligns with Lilypad’s goal of using data to differentiate risk,” said CEO Sid Jha. He added that the hire is timely for a market under pressure from climate‑driven losses and affordability concerns.
Lilypad operates within Arbol, a climate‑risk platform that supplies granular data and analytics infrastructure. Arbol’s system allows the carrier to assess risk at a fine‑grained level, incorporating detailed information on crime, wind gusts, building shadows and topography. Matta noted that while the data have existed for years, AI now enables the company to analyze and apply it more effectively.
Matta outlined a four‑pronged agenda. First, he will pursue cross‑selling opportunities within existing products, states and distribution channels. Second, he will explore close adjacencies such as condominium associations, apartments, hotels and general liability, building on Lilypad’s underwriting, data and AI capabilities. Third, he will identify market gaps where Lilypad’s analytics can solve problems that other insurers have not addressed; for example, he cited liquor liability in Florida as a potential area for machine‑vision‑based solutions. Fourth, he will accelerate Lilypad’s AI strategy itself.
He highlighted that a policy form that once required three months can now be completed in three days because the company already has an AI‑native infrastructure. This speed frees talent from routine processing, allowing focus on risk analytics, mitigation research and customer value.
Matta also criticized the industry’s reliance on a small group of external model providers. He believes insurers should develop proprietary risk insight to better handle localized, volatile climate losses. He added that AI can reduce the cost of routine processing, enabling carriers to invest more in mitigation and resiliency.
A key advantage for Lilypad is the absence of legacy systems. Matta said the company has not inherited disconnected legacy platforms, so it can embed AI from the start rather than retrofit it onto old workflows. He compared the transition to moving from a typewriter to a smartphone.
In addition to the Matta appointment, Lilypad has made other technology moves. A press release dated February 19 2026 announced that the carrier adopted ZestyAI’s roof‑and‑parcel‑level analytics to improve underwriting accuracy. The company also selected BriteCore as its policy administration platform in May 2025 to support expansion into hurricane‑prone coastal markets.
Lilypad’s licensed states include Florida, Texas, Louisiana, Massachusetts, Oklahoma, Mississippi, Alabama, South Carolina, North Carolina and Hawaii. Its focus on coastal communities in Florida, the Gulf states and Hawaii positions it to leverage granular analytics in markets where traditional models have been too coarse.
The appointment signals Lilypad’s intention to use AI as a core organizational principle rather than an add‑on. Matta’s role is to align the company’s data, talent and momentum with market opportunities, turning proprietary analytics into commercially viable programs.
At present, Lilypad has not announced specific new products or pricing changes. The company’s next steps will likely involve testing the AI‑driven underwriting framework in new verticals and evaluating the commercial viability of adjacencies identified in Matta’s plan. Investors and regulators will watch how the carrier balances rapid product development with risk management in a highly regulated coastal insurance market.
The appointment comes as the U.S. coastal property insurance market faces rising losses and affordability challenges. Lilypad’s strategy, if successful, could provide a model for insurers seeking to combine granular data, AI and agile operations to address climate‑related risks.
Matta’s mandate is clear: embed AI across underwriting, distribution and product development, while expanding Lilypad’s program portfolio. His arrival comes as the industry grapples with climate‑driven losses and mounting affordability pressures.
A two‑decade veteran of hazard analytics and machine‑learning patents, Matta earned a master’s in environmental engineering from Clemson University. He began his career consulting for the National Flood Insurance Program on flood‑map digitization, later managing hazard‑mapping projects for several states and conducting exposure studies for flood, hurricane, dam‑failure, precipitation and earthquake events.
In the 2000s he joined Tokio Marine’s technology division, where he built a flood model for Mexico and a hail model for Europe. He then moved to Assurant, creating new products and programs before leading the company’s international property‑and‑casualty business. At Millennial Specialty Insurance he helped grow a platform from $100 million to over $1 billion in premium. Throughout, he has held two machine‑learning patents that were deployed in commercial settings.
“Matta’s background in analytics and program building aligns with Lilypad’s goal of using data to differentiate risk,” said CEO Sid Jha. He added that the hire is timely for a market under pressure from climate‑driven losses and affordability concerns.
Lilypad operates within Arbol, a climate‑risk platform that supplies granular data and analytics infrastructure. Arbol’s system allows the carrier to assess risk at a fine‑grained level, incorporating detailed information on crime, wind gusts, building shadows and topography. Matta noted that while the data have existed for years, AI now enables the company to analyze and apply it more effectively.
Matta outlined a four‑pronged agenda. First, he will pursue cross‑selling opportunities within existing products, states and distribution channels. Second, he will explore close adjacencies such as condominium associations, apartments, hotels and general liability, building on Lilypad’s underwriting, data and AI capabilities. Third, he will identify market gaps where Lilypad’s analytics can solve problems that other insurers have not addressed; for example, he cited liquor liability in Florida as a potential area for machine‑vision‑based solutions. Fourth, he will accelerate Lilypad’s AI strategy itself.
He highlighted that a policy form that once required three months can now be completed in three days because the company already has an AI‑native infrastructure. This speed frees talent from routine processing, allowing focus on risk analytics, mitigation research and customer value.
Matta also criticized the industry’s reliance on a small group of external model providers. He believes insurers should develop proprietary risk insight to better handle localized, volatile climate losses. He added that AI can reduce the cost of routine processing, enabling carriers to invest more in mitigation and resiliency.
A key advantage for Lilypad is the absence of legacy systems. Matta said the company has not inherited disconnected legacy platforms, so it can embed AI from the start rather than retrofit it onto old workflows. He compared the transition to moving from a typewriter to a smartphone.
In addition to the Matta appointment, Lilypad has made other technology moves. A press release dated February 19 2026 announced that the carrier adopted ZestyAI’s roof‑and‑parcel‑level analytics to improve underwriting accuracy. The company also selected BriteCore as its policy administration platform in May 2025 to support expansion into hurricane‑prone coastal markets.
Lilypad’s licensed states include Florida, Texas, Louisiana, Massachusetts, Oklahoma, Mississippi, Alabama, South Carolina, North Carolina and Hawaii. Its focus on coastal communities in Florida, the Gulf states and Hawaii positions it to leverage granular analytics in markets where traditional models have been too coarse.
The appointment signals Lilypad’s intention to use AI as a core organizational principle rather than an add‑on. Matta’s role is to align the company’s data, talent and momentum with market opportunities, turning proprietary analytics into commercially viable programs.
At present, Lilypad has not announced specific new products or pricing changes. The company’s next steps will likely involve testing the AI‑driven underwriting framework in new verticals and evaluating the commercial viability of adjacencies identified in Matta’s plan. Investors and regulators will watch how the carrier balances rapid product development with risk management in a highly regulated coastal insurance market.
The appointment comes as the U.S. coastal property insurance market faces rising losses and affordability challenges. Lilypad’s strategy, if successful, could provide a model for insurers seeking to combine granular data, AI and agile operations to address climate‑related risks.
