Previsico takes property-level flood forecasting into South Africa

Previsico, the flood forecasting company spun out of Loughborough University in 2019, is entering the African market for the first time, beginning with South Africa and backed by capital from a climate-resilience fund managed by BlueOrchard. The move extends its property-level flood forecasting into a region where flood exposure is high and insurance penetration is low, and where the parties see room to narrow a wide protection gap.

The programme is supported by the InsuResilience Investment Fund Private Equity II (IIF II), the BlueOrchard-managed climate-adaptation strategy set up by German development bank KfW. Second phase deployments across the Cape, Johannesburg, and other high-risk areas begin this month, following proof-of-concept work completed in Durban in the first half of 2026.

What is Previsico deploying, and how does it work?

Previsico's core product is live hydrodynamic flood modelling that forecasts surface-water and watercourse flooding at the level of an individual property, up to 48 hours ahead of an event. The system combines high-resolution LiDAR terrain data, drainage-network information, land-use mapping, and real-time weather inputs, and validates its output against a network of Internet-of-Things sensors deployed on the ground.

That focus on surface-water flooding is the company's differentiator. In most markets, national forecasting services warn on river and coastal flooding but not on the pluvial, or surface-water, events that account for a large share of urban flood damage and typically fall outside existing warning infrastructure.

The technology is already in commercial use with insurers including Zurich, Liberty Specialty Markets, and Generali, and is distributed to commercial clients through broker channels including Marsh and Lockton. Liberty Specialty Markets, for example, integrates Previsico's alerts into its Risk Reduce portal for UK commercial customers. Previsico reports a client base spanning the UK, Europe, and the Americas, with roughly two hundred corporate users.

Why did Previsico start with South Africa?

South Africa carries the recent memory of the costliest insured natural catastrophe in its history. In April 2022, KwaZulu-Natal received around three months of rain in a single day, and the resulting floods in and around Durban killed more than 430 people and displaced roughly 40,000. Estimates of the total economic cost run to tens of billions of rand, with roughly half of that borne by insurers, making the event the largest single insurance loss the country has recorded, ahead of the 2017 Knysna fires.

The commercial fallout is still working through the system. Toyota's Durban manufacturing plant was flooded and halted production for months, and its insurer later launched a multibillion-rand claim against state entities over infrastructure failures, one of several cases testing where liability for climate-driven damage ultimately sits. For an underwriter, that combination of severe modelled exposure, thin coverage, and contested liability is precisely the environment in which early-warning data changes the loss equation.

Previsico ran its first African deployments in Durban, in KwaZulu-Natal, before extending coverage this month to the Cape, Johannesburg, and other high-risk areas ahead of a planned national roll-out. Craig Deacon, the company's chief financial officer, grew up in KwaZulu-Natal, and the company has framed the region as the starting point for its emerging-markets strategy rather than a one-off deployment.

What is BlueOrchard's role in the deal?

BlueOrchard, a member of the Schroders group, manages the InsuResilience Investment Fund, a public-private vehicle originally established under the G20's InsuResilience Global Partnership to widen access to climate insurance in developing markets. As of the end of 2024, the manager reported that its investments supported more than 300 million people in emerging and frontier markets.

BlueOrchard's IIF II has been active across African and emerging-market insurtech, with prior deals including South African digital insurer Naked and extreme-weather modeller Reask. Richard Hardy, who leads the fund's private-equity activity in Africa, has argued that capital alone cannot close the protection gap in these markets and that predictive data is the missing input for insurers and communities.

One point warrants clarification before publication. The announcement describes BlueOrchard's support as a grant, whereas BlueOrchard's own disclosure of its Previsico relationship, dated August 2025, characterises it as a growth equity investment made through IIF II as part of a funding round that also included Burnt Island Ventures. Grant funding and an equity investment are materially different structures, and the specific mechanism behind the South Africa programme should be confirmed with both parties before publishing.

A second figure also merits a note. The parties cite projected global flood-related losses of $850 billion a year by 2050. That number appears in BlueOrchard's own materials on Previsico rather than being clearly traceable to the World Resources Institute source referenced in the release, and it sits well above the riverine-flood projections published by bodies such as the UN Office for Disaster Risk Reduction, which model annual losses reaching roughly $407 billion to $439 billion by 2050. The headline figure is best treated as a directional estimate from the deal parties rather than an established consensus number.

Why This Matters to FinanceX Readers

For insurers and reinsurers, South Africa is a live test of whether pre-loss intelligence can be underwritten as a mitigation tool in a market where the protection gap is structural rather than incidental. The 2022 KwaZulu-Natal event showed how quickly an uncovered peril converts into balance-sheet and litigation risk, and pricing in flood-exposed coastal zones has already hardened. Property-level warning does not remove the hazard, but it changes the claims profile: the difference between an alerted policyholder who moves stock and equipment and one who does not can be the difference between a mitigated loss and a total one.

For investors watching climate-adaptation as an asset class, the deal is a data point on whether blended-finance vehicles can move predictive technology into frontier markets at commercial terms, and on how development capital and private insurers share the cost of building resilience where coverage is thinnest.