Nettle Raised $4.8 Million for AI Insurance Inspections

The startup plans to expand its automated risk assessment platform across the US and Europe.

Updated on Oct. 6, 2026 in Startups

Isometric editorial illustration of a structural steel joint, representing the mechanical precision of automated risk assessment.
Nettle has raised $4.8 million in seed funding to expand its generative AI platform, which automates insurance risk inspections for commercial property. AI Illustration. Upload story photo >

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Do you trust that AI-automated risk assessments are as reliable as human-led inspections?

Nettle has secured $4.8 million in a seed funding round led by MTech Capital. The company, which uses generative AI to automate insurance risk inspections, has raised $6.8 million in total funding to date.

Why it matters

Nettle aims to modernize the insurance sector by automating the traditionally manual process of property risk engineering. The platform replaces slow legacy workflows with automated analysis, which the company claims is up to five-times faster.

The Nettle platform completes risk assessments five-times faster than traditional methods, with Allianz Türkiye reporting a 3x speed increase in inspection throughput. It integrates generative AI to combine risk identification, mobile data analysis, and automated report generation.

The players

Nettle

An insurance technology startup founded in 2024 that provides an AI-driven platform for automating property risk inspections.

MTech Capital

A venture capital firm focused on the insurance technology sector that led Nettle's seed funding round.

Allianz Türkiye

A subsidiary of a global financial services firm that uses Nettle's platform for commercial property risk engineering.

Jack Miller

A co-founder of Nettle who helped establish the startup in 2024.

Katya Kinane

A co-founder of Nettle who established the company's dual-office operations in London and New York.

The details

The Nettle platform uses generative AI — a type of machine learning capable of producing new content and analyzing complex data patterns — to standardize evidence collection across insurance stakeholders. By automating the transition from initial risk identification to mobile evidence analysis, the tool generates standardized risk scores without requiring manual oversight at every step of the inspection process. The software is currently used by insurers like Allianz Türkiye to perform commercial property risk engineering.

Timeline

  1. 2024: Nettle was founded.

  2. March 2026: The company raised a $2 million pre-seed round.

  3. October 6, 2026: Nettle announced the $4.8 million seed round.

The Tech Race

Nettle is competing to automate the labor-intensive property inspection market, a vertical historically dominated by slow, manual field data collection. Its growth reflects an industry-wide push to integrate machine learning into risk assessment pipelines to achieve faster underwriting outcomes.

Commercial property owners and insurers can expect faster inspection turnaround times as Nettle scales its platform to new markets. The technology requires no specific user hardware beyond standard mobile devices used for evidence collection during site visits.

The takeaway

Nettle is betting that standardizing inspection data through generative AI will become the standard for commercial property risk assessment. Stakeholders should track the company's hiring rate for its engineering teams to gauge how quickly it can deploy these capabilities internationally.

Further reading

For more on emerging ventures transforming legacy industries, explore our coverage of Startups.

Live Poll

Do you trust that AI-automated risk assessments are as reliable as human-led inspections?