Pulse | Road Safety | Earthpulse

Key outcomes

This solution lets you analyse environmental and surface conditions that contribute to accident risk.

Improve risk differentiation

Enrich traditional insurance models with structured geospatial intelligence to better understand how physical road conditions influence accident probability and severity.

Scale across markets

Generate harmonised, automated road-environment indicators consistently across countries — supporting rapid expansion without slowing model development.

Strengthen predictive performance

Identify high-impact spatial signals that materially improve risk modelling, enabling more accurate pricing, prevention strategies, and portfolio management.

The Challenge

Traditional insurance risk models are strong at analysing behavioural and historical data, but they rarely capture the physical environment where risk actually unfolds.

Road safety is shaped not only by who is driving, but by where driving occurs: terrain, slope, road geometry, micro-climate, surrounding context, and environmental exposure. These spatial factors are fragmented, difficult to harmonise, and rarely available at scale.

For insurers expanding into new markets, the challenge intensifies. Geospatial datasets are often inconsistent across countries, difficult to integrate into existing systems, and slow to operationalise. Without structured environmental intelligence, models risk overlooking critical predictors of accident risk.

Our Solution

The Road Safety Pulse delivers a structured, automated catalogue of geospatial indicators describing road environments at national scale.

Using the SPAI platform, Earthpulse integrates satellite data, topography, road morphology, climate records, population context, and environmental conditions into harmonised, model-ready indicators. These datasets are generated continuously and consistently across regions, enabling direct integration into core risk models.

Through joint validation with the insurer, high-impact spatial features were selected based on statistical relevance and business value — ensuring that only meaningful signals inform operational deployment.

The result is scalable, automated geospatial intelligence that strengthens predictive modelling, accelerates expansion into new markets, and embeds environmental context directly into road-risk decision workflows.

Trusted by

Case study: Geo-localising road risk at a scale

To strengthen road-risk modelling, a leading European digital insurer partnered with Earthpulse to integrate large-scale geospatial intelligence into its core systems.

The company fully digitalises the insurance value chain through proprietary technology platforms and advanced data analytics. Its infrastructure, risk analysis capabilities, and full-stack digital approach enable individual policyholders across Europe to access customisable insurance with greater affordability and improved service quality. Its sophisticated insurance models and ability to translate analytics into commercial performance have reshaped the insurance market in Italy, supporting rapid expansion into Spain and the UK.

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Read the Case Study

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How It Works

Select the assets

Once you select the area or asset, we customise the solution for you. At this stage, we collect satellite data (like Copernicus), and integrate additional relevant data sources, such as geospatial, economic, weather, or proprietary data.

Data processing via SPAI

SPAI supports data collection and processing by using automated workflows and in-house models, with human-led quality checks to ensure consistent results across sites and time.

Pulses deliver the insights

The processed data is translated into structured intelligence: indicators, trends, actionable alerts that move you beyond static maps. At this stage you receive precise indicators that pinpoint exactly where to focus your attention to prevent outages or damage.

Building pulses

We build our solutions with your needs at the centre.

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Operationally proven

Our Operational solutions are built on validated models and automated workflows designed for real-world challenges. We combine scientific rigour with production-grade engineering to deliver reliable intelligence where delays and errors are not an option.
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Integrated into your operations

Our solutions plug directly into your existing systems and workflows — API-first, automation-ready, and deployable on your terms. You maintain full control over your data and models while gaining intelligence that works inside your daily operations.
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Built for action at scale

We design tools that help you set scale timely intervention across sites, regions, and countries. By turning complex geospatial data into structured, operational insight, our Pulses scale just in hours, helping teams act earlier, allocate resources smarter, and manage risk consistently wherever they operate.

Insights

Discover how organisations are using our solutions to anticipate risks, ensure compliance, and unlock value. Read our news, blogs, case studies and more.

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