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Key facts

Cohort: Cohort 4, 2020 and Cohort 10, 2022

Focus in insurance value chain/workflow: Point of underwriting

Specific lines of business supported (if applicable): Corporate I SME I Speciality I Reinsurance I Captive I Government

Founded: 2022

Status: Operating, still in insurance

Company type: Data provider

Head office: United Kingdom & Estonia

Main global offices: United Kingdom, Estonia

Locations served: Global

Employee count: 11-100


Value.Space delivers satellite-based infrastructure risk assessments and monitoring to underwriters and risk engineers. It specialises in mines, dams, and business property, providing a fast and low-cost way to assess and monitor the structural integrity of assets.

Lab activity

Primary way aimed to improve insurance processes and tools whilst in the Accelerator: Improving UW tools and processes

In Cohort 4, Value.Space tailored its asset and portfolio-level structural integrity audits for the insurance industry. It has been delivering these risk assessments globally to insurers ever since and raising venture capital funding. After its time in the Lab, it evaluated that its risk assessments are ten times faster and 25 times cheaper than alternative methods of risk assessment.

In Cohort 10, Value.Space developed a liability model to help insurers understand how potential risks shown on asset risk assessments could materialise to a liability loss event. This product is designed to help underwriters price policies and advise clients.

“Value.Space built its core product at Lloyd’s Lab with underwriters and risk engineers, specifically with their needs in mind. That has been invaluable for the company and is a key component in why Value.Space is delivering to the Lloyd’s market, across the world today.”
Reijo Pold, Founder and Chief Strategy Officer

Read the case study

Read Value.Space’s case study: Infrastructure health checks that help to plug the liability gap

Explore all our alumni

Learn about all our alumni who have take part in the Lloyd’s Lab Accelerator programme.