BirdsEyeView

Global natural catastrophe modelling and exposure management software for insurers

Underwriting & Risk Growth Series A

Overview

BirdsEyeView is a catastrophe modelling and exposure management software provider serving carriers, brokers, and MGAs. The company focuses on global, high-resolution natural catastrophe risk assessment using satellite imagery and machine learning, with particular emphasis on wildfire and climate-driven perils. It is FCA-regulated and backed by the European Space Agency.

The core product is the CERA platform, a SaaS suite covering probabilistic hazard modelling across 10 or more perils, real-time exposure aggregation, automated statement of values processing, and an AI-powered underwriting co-pilot. A companion product, RAPTOR, applies satellite data to parametric insurance underwriting. Both products are delivered via web-based SaaS with REST API access and OAuth 2.0 authentication.

The company serves over 20 insurance organizations globally, including Allianz, AXA XL, Arch Insurance, Hiscox, Munich Re, and Ryan Specialty Group. It is a Lloyd's Lab alumnus and reported 200% turnover growth. Funding includes a Seed round in December 2023 led by ESA, Big 5 Investors, InsurTech NY, and ACF Investors, followed by a Series A in January 2026 from 24 Haymarket, with total disclosed capital of approximately USD 3.26M across multiple rounds.

Products & Services

CERA (Catastrophic Exposure and Risk Analytics)

An integrated SaaS platform for catastrophe modelling and exposure management, comprising five modules: probabilistic physics-based hazard modelling for 10+ perils globally, real-time exposure and aggregate visualization, automated AI ingestion and geolocation of statement of values data, live hazard alerting, and an AI underwriting co-pilot with natural language interface.

Key Features

Physics-based probabilistic modelling across global catastrophe perils
AI-powered statement of values ingestion and geolocation
Real-time aggregate monitoring and live hazard alerting
Natural language AI underwriting co-pilot

Target Users: Carriers, MGAs, reinsurers, specialty and E&S underwriters

RAPTOR

An algorithmic underwriting engine that applies satellite imagery data to support parametric insurance solutions and risk pricing.

Key Features

Satellite data integration for underwriting decisions
Parametric insurance risk support
Algorithmic pricing engine

Target Users: Carriers and MGAs writing parametric or climate-exposed lines

Bushfire Risk Models

Next-generation machine learning models for Australian wildfire risk prediction, achieving 61% accuracy improvement over prior models, launched December 2025.

Key Features

ML-based wildfire probability modelling for Australia
High-resolution spatial accuracy
Designed for parametric and property catastrophe underwriting

Target Users: Carriers with Australian property or natural catastrophe exposure

AI Data Scrubbing

Automated statement of values data cleaning and geolocation service launched March 2026, reducing manual data preparation effort in the underwriting workflow.

Key Features

Automated SOV data quality remediation
AI-powered geolocation of insured locations
CSV and API-based data ingestion

Target Users: Underwriters and exposure managers handling large property schedules

At a Glance

Headquarters: London, United Kingdom
Employees: 51-200
Funding: Series A

Category & Focus

Category: Underwriting & Risk
Subcategories: Catastrophe Modelling Exposure Management Parametric Underwriting AI Risk Scoring
Insurance Verticals: P&C Commercial Specialty/E&S Reinsurance
Target Customers: Carriers, Brokers, MGAs/MGUs, Reinsurers