Nettle has raised $4.8m in an oversubscribed seed round to expand an artificial intelligence platform designed for commercial insurance loss control teams.
The London and New York-based company said the investment takes its total funding to $6.8m following a $2m pre-seed round in March 2025. MTech Capital led the latest round, with Project A, Sure Valley Ventures, Portfolio Ventures and Ventures Together also participating.
Nettle has built a workspace that brings risk identification, evidence collection, analysis and reporting into one system for insurers carrying out commercial property and operational risk assessments.
Loss control teams inspect businesses and premises to identify hazards that may affect underwriting or contribute to future claims. Their work can cover fire protection, machinery, business interruption risks, site conditions and operating practices before recommendations are passed to underwriters and customers.
The process still relies heavily on specialist engineers and substantial manual work. Nettle says insurers can face inspection backlogs lasting several months, while many experienced risk engineers are approaching retirement.
Its software is designed to reduce the administrative burden around those specialists rather than replace the underlying engineering judgement. Evidence gathered during an inspection can be organised within the platform, analysed and converted into structured outputs without requiring teams to reproduce the same information across several systems.
Nettle says customers can complete inspections up to five times faster using the platform. That figure remains the company’s own performance claim, but the productivity problem it addresses is straightforward: insurers want to assess more commercial risks without expanding scarce specialist teams at the same rate.
The funding also reflects a broader change in insurance technology investment. Early enthusiasm around artificial intelligence often focused on broad automation, while more recent products increasingly target defined workflows where the data, users and outcome can be identified more precisely.
Loss control offers that kind of environment because the work is already structured around evidence, professional assessment and written recommendations. AI can assist with organising and analysing information, but underwriters and risk engineers remain responsible for decisions that affect insurance terms and risk mitigation.
That puts data quality and auditability at the centre of adoption. Insurers need to understand where information originated, how it has been processed and whether automated outputs can be checked before they influence underwriting or customer advice.
Nettle plans to use the new capital to expand internationally and deepen its work with commercial insurers. Its ability to grow will depend on whether the platform can deliver measurable efficiency while fitting into the controls and professional responsibilities already built into loss engineering.
You must be logged in to post a comment.