Nettle raises $4.8M to expand its AI workspace for insurers
Tech.eu Tamara Djurickovic ● Covered by 2 sources
Nettle just raised $4.8M for its AI workspace for commercial insurers. It says it can speed risk inspections 5x while a lot of loss-control teams are stuck waiting months.
Based on reporting by Tech.eu, Tamara Djurickovic — read the original for the full story.
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Nettle, the AI platform for commercial insurance loss control, has picked up $4.8 million in an oversubscribed seed round. MTech led the deal, with Project A Ventures adding a super pro rata investment and Sure Valley Ventures, Portfolio Ventures, Ventures Together and selected angels also in the mix.
That brings the startup’s total funding to $6.8 million. It had already raised a $2 million pre-seed round in March 2025. Nettle was founded in 2024 by former QuantumBlack colleagues Jack Miller and Katya Kinane.
The company is building an AI workspace for commercial insurers that pulls risk identification, evidence capture, analysis and reporting into one place. The target is loss control teams, which Nettle says can be dealing with backlogs of up to six months. It also points to an estimated 40 per cent of risk engineers expected to retire by 2030, which only makes the squeeze worse.
The platform uses AI and external data to spot exposures remotely, while guided inspections let risk engineers, agents and policyholders collect information. It can process images, video, audio, documents and third-party data, then turn that into reports, risk scores and recommendations. Nettle says the system helps insurers complete inspections five times faster, and that it lets engineers spend more time on the cases that actually need them.
The product started in Commercial Property and has since been extended to Liability, Construction and Workers’ Compensation. It is built for enterprise insurers, supports cloud and on-premises deployment, regional data residency and enterprise-grade security, and is already used by insurers across Europe, the US and Asia. The new money is going toward expansion in the US and Europe, plus hiring for engineering and go-to-market roles.
My take — AI-written commentary, not fact-checked reporting
This is a sensible bet in a part of insurance that has been running on human bottlenecks for too long. The pitch is not magic; it is compression of grunt work, which is usually where AI earns its keep. Insurers love talking about risk, so here’s the real one: whether they keep paying people to stare at backlogs, or buy tools that clear them.
Read more about this at: Tech.eu
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