Nettle
Nettle provides an AI-powered workspace for commercial property insurers to capture, analyze, and act on risk evidence from site inspections. The platform structures photos, audio memos, and documents into standardized assessments with risk scores and prioritized recommendations, helping teams complete inspections 5x faster. It also supports guided surveys for low-touch properties and tracks mitigation follow-through across entire portfolios.
- Insurance Technology
- Artificial Intelligence
- Software Only
- Data & Analytics
- Enterprise Software
Funding
Raised to date
$6.8MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
$1.8M across 1 disclosed round
£1.5M · Pre-Seed
Announced Mar 2025
Disclosed cumulative: $1.8M
Reported total $6.8M
Incomplete round history. $5M of the $6.8M reported total isn’t matched to a known round.
Founders
Founder details are not available yet.
Product
Problem
Commercial property insurers rely on risk engineers to inspect sites and produce detailed reports, but traditional workflows are slow, inconsistent, and labor-intensive. Field evidence like photos, audio notes, and documents often ends up in unstructured formats, making it difficult for underwriters to extract actionable insights and for loss control teams to track mitigation follow-through across portfolios.
Solution
Nettle provides an AI-powered workspace for loss control teams, carriers, brokers, and corporates to capture, organize, and act on risk evidence from commercial property inspections. The platform accepts field evidence—including photos, audio memos, and PDF documents—and uses AI to structure it into standardized assessments with risk scores, key findings, and prioritized recommendations. Risk engineers and underwriters review AI-generated outputs through a human-in-loop interface, then share decision packages with clients for follow-up. The platform also supports guided surveys for low-touch properties and tracks recommendation completion, enabling consistent risk data collection and mitigation verification across entire portfolios.
Target Audience
Primary customers are commercial property insurers, including carriers, brokers, and corporate internal risk teams, as well as risk engineering firms that conduct third-party surveys and inspections.
Features
- AI-powered evidence organization that ingests inspection files with photos, audio, and documents, automatically structuring them into a site assessment with risk scoring
- Automated hazard detection that identifies specific findings such as unconfirmed sprinkler restoration, obstructed extinguisher access, and sprinkler deflection issues, each tagged with severity levels
- Executive underwriting brief generation that compresses field data into same-day decision packages, including loss expectancy estimates and mitigation impact projections
- High-hazard triage dashboard that filters hundreds of accounts down to locations genuinely requiring physical inspection
- Guided survey capability for remote and low-touch properties, allowing collection of structured loss control evidence without requiring an on-site engineer
- Recommendation tracking system that monitors open actions, contractor proof, and SLAs to verify mitigation before renewal
- Centralized recommendation library combining internal guidance and industry standards, with AI-assisted suggestion capabilities
- Plain-language template updates, allowing teams to modify inspection configurations through natural descriptions rather than technical configuration