Previsico Unveils Instacasting for Advanced Surface Water Flood Forecasting

Previsico, a specialist in surface water flood forecasting, has announced the launch of Instacasting, a next-generation flood mitigation solution. This innovative tool leverages the most accurate observed rainfall data available in the market to predict surface water flood risk more quickly and precisely. Instacasting complements Previsico’s existing flood data by employing exact rainfall data, thus enhancing flood resource allocation, loss control, and risk mitigation. The potential savings for insurers on flash flooding losses are significant, as this technology promises to revolutionize the way flood risks are managed.

Surface water flooding is the most considerable flood risk in the UK, impacting more than 2.8 million people in England alone. Clients such as National Grid, Network Rail, and Zurich Insurance stand to gain substantially from Instacasting’s advanced capabilities. By utilizing an array of data sets—including rainfall RADAR—the technology can determine observed rainfall and model it to predict flooding with up to 80% accuracy. This groundbreaking approach provides a crucial edge in mitigating the devastating impacts of surface water flooding, supporting faster and more informed decision-making.

Instacasting Features and Functionality

Jonathan Jackson, Previsico’s CEO, highlighted that the new radar-derived observable data provides unmatched accuracy and timeliness, essential in effective surface water flood forecasting. Instacasting is set to be available in three distinct formats, each tailored to specific needs. Instacast Outlook will display flood footprints from observed rainfall, enabling users to forecast potential flooding areas. Instacast Playback allows users to view flood footprints up to 12 hours in the past, providing valuable insights for analyzing previous events. Finally, Instacast On-Demand offers bespoke retrospective event analysis, catering to those requiring detailed assessments of past floods.

The technology behind Instacasting is built on two decades of research at Loughborough University, solidifying Previsico’s standing as a global leader in surface water flood modeling and risk mitigation. The dedication to scientific excellence ensures that this tool not only meets current needs but is also adaptable to future challenges in flood risk management. As such, Instacasting stands poised to set a new standard in the industry, providing unmatched accuracy and reliability.

Implications for Flood Risk Management

Previsico, specializing in surface water flood forecasting, has unveiled Instacasting, a cutting-edge flood mitigation tool. This innovative solution uses the most precise observed rainfall data available to predict surface water flood risks faster and more accurately. Instacasting enhances Previsico’s current flood data by incorporating exact rainfall information, improving resource allocation, loss control, and risk mitigation. For insurers, the potential savings on flash flooding losses are substantial, as this technology could transform flood risk management.

Surface water flooding is the UK’s most significant flood risk, affecting over 2.8 million people in England alone. Clients like National Grid, Network Rail, and Zurich Insurance can reap considerable benefits from Instacasting’s advanced features. By drawing on a variety of data sets, such as rainfall RADAR, the technology can analyze observed rainfall and model it to predict floods with up to 80% accuracy. This groundbreaking method provides a vital advantage in mitigating the severe impacts of surface water flooding and aids quicker, more informed decision-making.

Explore more

Trend Analysis: Agentic AI in Data Engineering

The modern enterprise is drowning in a deluge of data yet simultaneously thirsting for actionable insights, a paradox born from the persistent bottleneck of manual and time-consuming data preparation. As organizations accumulate vast digital reserves, the human-led processes required to clean, structure, and ready this data for analysis have become a significant drag on innovation. Into this challenging landscape emerges

Why Does AI Unite Marketing and Data Engineering?

The organizational chart of a modern company often tells a story of separation, with clear lines dividing functions and responsibilities, but the customer’s journey tells a story of seamless unity, demanding a single, coherent conversation with the brand. For years, the gap between the teams that manage customer data and the teams that manage customer engagement has widened, creating friction

Trend Analysis: Intelligent Data Architecture

The paradox at the heart of modern healthcare is that while artificial intelligence can predict patient mortality with stunning accuracy, its life-saving potential is often neutralized by the very systems designed to manage patient data. While AI has already proven its ability to save lives and streamline clinical workflows, its progress is critically stalled. The true revolution in healthcare is

Can AI Fix a Broken Customer Experience by 2026?

The promise of an AI-driven revolution in customer service has echoed through boardrooms for years, yet the average consumer’s experience often remains a frustrating maze of automated dead ends and unresolved issues. We find ourselves in 2026 at a critical inflection point, where the immense hype surrounding artificial intelligence collides with the stubborn realities of tight budgets, deep-seated operational flaws,

Trend Analysis: AI-Driven Customer Experience

The once-distant promise of artificial intelligence creating truly seamless and intuitive customer interactions has now become the established benchmark for business success. From an experimental technology to a strategic imperative, Artificial Intelligence is fundamentally reshaping the customer experience (CX) landscape. As businesses move beyond the initial phase of basic automation, the focus is shifting decisively toward leveraging AI to build