Previsico Launches Flood Intelligence 2.0 to Revolutionize Probabilistic Risk Management

Previsico has launched Flood Intelligence 2.0, a significant upgrade to its forecasting platform that shifts from deterministic to probabilistic modelling. For insurers and risk managers, this transition provides more granular data on the likelihood and severity of flood events, enabling more precise resource allocation, claims preparation, and proactive loss mitigation during rapidly evolving weather scenarios.

What was announced

The launch of Flood Intelligence 2.0 introduces five core enhancements designed to improve decision support for insurers, infrastructure operators, and risk managers. Central to the update is the move to probabilistic forecasting. Unlike traditional deterministic models that provide a binary prediction of whether a flood will occur, this approach presents a range of potential scenarios. This allows users to assess the specific probability and severity of various flood impacts across their portfolios.

Operational responsiveness is addressed through hourly forecast updates, a significant increase in frequency from the previous three-hour interval. This near-real-time visibility is paired with an expanded 24-hour retrospective analysis window—doubled from the previous 12 hours—to help organisations validate how an event is evolving and coordinate resources more effectively. These updates are intended to give operators the ability to respond to rapidly changing conditions based on live data rather than static projections.

The platform also features a redesigned interface intended to be faster and more intuitive as flood events unfold. For carriers and MGAs looking to integrate this data into existing risk management or claims systems, an improved API offers richer data outputs and higher performance. Previsico intends to roll out Flood Intelligence 2.0 to its global customer base, including both new and existing clients, starting in early 2026.

"Flood Intelligence 2.0 sets a new benchmark in flood forecasting, with the shift from deterministic to probabilistic insights representing a major step forward."

Sam Wilks, Head of Product at Previsico

The companies involved

Previsico is an insurtech specialist focused on surface water flood forecasting and management. The company originated as a spin-out from Loughborough University, leveraging advanced hydraulic modelling to address the specific challenges of surface water flooding, which traditional river and coastal flood models often fail to capture accurately. By focusing on this specific "flash flooding" risk, the firm has carved out a niche in the catastrophe modelling and risk management space.

The firm has established itself as a key player in the UK and international insurtech ecosystems, providing data that allows insurers to move beyond static risk maps toward live, actionable intelligence. Previsico serves a diverse range of clients, including global insurance carriers, brokers, and MGAs, as well as large-scale infrastructure operators and local authorities. The company's technology is designed to reduce the impact of flood events by providing early warnings that can trigger physical mitigation measures, such as the deployment of flood barriers or the movement of high-value assets, ultimately aiming to lower loss ratios for its insurance partners.

What FF News has reported before

FF News has followed Previsico’s expansion and research closely, recently reporting on its efforts to bridge the gap between forecasting and physical protection. In late 2026, the company announced that Previsico and Mitigrate Partner to Transform Flood Forecasting into Proactive Prevention, focusing on turning warnings into automated mitigation actions.

The firm has also been active in international markets. We covered how Former Springbok Flip van der Merwe Joins Previsico to Drive South African Flood Tech Expansion, and its broader entry into the continent when Previsico Expands Into Africa: UK Flood Intelligence Pioneer Partners with Blue Orchard Finance. Additionally, the company’s research has highlighted systemic risks, as seen in the report that Previsico Report Reveals UK Flood Preparedness Hits Record Low Despite Rising Risks.

What this means from an insurtech perspective

This update addresses the "certainty gap" in flood underwriting and claims management. For carriers, deterministic models often lead to over-cautious capital allocation or unexpected losses; probabilistic data allows for more nuanced pricing and sophisticated reinsurance structuring. The shift to hourly updates puts pressure on incumbent data providers who still rely on daily refreshes, which are increasingly inadequate for flash flood events. From a claims perspective, the ability to see 24 hours of retrospective data allows MGAs and adjusters to validate "first notice of loss" (FNOL) more accurately, reducing fraud and streamlining the customer experience. This reinforces the industry trend toward "active insurance," where the value of a policy is defined by prevention as much as the eventual payout.