For a commercial property insurer, the most expensive risk is often the one that never gets properly assessed. The industry’s traditional method of sending a human risk engineer to inspect a factory, warehouse, or office building is buckling under a wave of retirements and a backlog that can stretch for months. The result is a bottleneck that delays underwriting, frustrates brokers, and leaves billions in potential premiums unexamined. London-based Nettle is betting that the only way to inspect more properties is to stop trying to send more people to every single one.
Founded in 2024 by Jack Miller and Katya Lait, Nettle sells an AI-powered platform that helps insurers triage submissions and conduct remote risk assessments. The core promise is to let risk engineers and underwriters handle a higher volume of submissions, focusing their expert judgment where it’s most needed. The company reports its tools can make the process three to five times faster, a claim that, while not yet validated by independent peer review, speaks directly to an industry in desperate need of throughput [Perplexity Sonar Pro Brief, Unknown].
The wedge in a graying workforce
The urgency for a tool like Nettle’s is not hypothetical. The insurance industry faces a well-documented shortage of experienced risk engineers, with one analysis suggesting 40% are expected to retire within the next five years [Insurance Edge, April 2025]. This creates a structural gap: the backlog for a physical inspection can reportedly stretch to six months, causing insurers to lose business and brokers to seek faster alternatives [Tech Funding News, October 2026]. Nettle’s wedge is to augment, not replace, this shrinking expert class. By using AI to analyze submitted documents, imagery, and data to produce preliminary risk assessments, the platform aims to clear the triage queue and flag only the most complex risks for a full, in-person engineer visit.
A team built at the intersection of AI and insurance
The founders’ backgrounds are squarely aimed at this specific problem. Both Miller and Lait hail from QuantumBlack, McKinsey’s AI and analytics division, where they worked on deploying AI solutions within the insurance sector. Miller, serving as CEO, was previously a Principal Product Manager who claims to have scaled a suite of insurance AI products to over $1 million in annual recurring revenue across more than 100 insurers globally [Nettle, Unknown]. Lait, the CTO, is credited with building McKinsey’s first multi-agent generative AI product, piloted with several major banking clients [Nettle, Unknown]. This experience gives them a dual lens: familiarity with the slow-moving, compliance-heavy world of commercial insurance, and a track record in building enterprise-grade AI tools.
The early engineering team reflects this heritage, with founding engineers Nayur Khan and Sophie Brosse also recruited from QuantumBlack [LinkedIn, Unknown]. The collective focus appears less on pure AI research and more on applied product development for a regulated industry,a sensible alignment for the insurtech space.
Traction and the capital to scale
Investor confidence has followed this focused pitch. Nettle has raised a total of $6.8 million to date, according to reports [Tech Funding News, October 2026]. The funding journey illustrates growing conviction:
| Date | Round | Amount | Lead Investor |
|---|---|---|---|
| May 2023 | Pre-Seed | $150,000 | Undisclosed [Crunchbase] |
| March 2025 | Pre-Seed | $2,000,000 (estimated) | Project A [BusinessCloud, October 2026] |
| October 2026 | Seed | $4,800,000 | MTech [Tech Funding News, October 2026] |
The most recent $4.8 million seed round, led by MTech with continued participation from Project A, is earmarked for team growth and geographic expansion, particularly in the United States and Europe [BusinessCloud, October 2026]. The company has already landed flagship customers, including global giant Allianz and US-based Brotherhood Mutual, demonstrating an ability to sell into large, established insurers [Tech Funding News, October 2026].
Navigating a field of unproven claims
For all its momentum, Nettle’s path is lined with the typical hurdles for a clinical AI application, even if its domain is property rather than patients. The regulatory context is different,this is not an FDA-cleared diagnostic,but the burden of proof for reliability is no less critical. Insurers are famously risk-averse; an AI tool that misgrades a risk could lead to catastrophic losses. The company’s claims of 3-5x speed improvements and smooth integration need to be proven at scale, across diverse geographies and property types. Furthermore, while the platform aims to supercharge risk engineers, its long-term value proposition must be carefully managed to avoid being perceived as a tool for headcount reduction in a field already facing a staffing crisis.
The competitive landscape is another open question. While no direct competitors are named in available sources, the problem of insurance underwriting automation is a crowded space. Nettle’s defensibility will likely hinge on three factors:
- Proprietary data workflows. The depth of its integration with insurer submission systems and historical risk data.
- Regulatory acquiescence. How comfortably its assessments fit within existing compliance and audit frameworks.
- The human-in-the-loop model. Preserving, rather than displacing, the expert judgment that remains the industry’s gold standard.
What the next inspection reveals
The next twelve months will be a critical inspection period for Nettle itself. The seed funding provides runway to grow its engineering and sales teams on both sides of the Atlantic. The key milestones to watch will be expanded deployments within its anchor customers, public validation of its accuracy and speed claims, and the signing of its next major insurer. A Series A round within the next 18 months would signal that the model is scaling.
The disease state Nettle is treating is institutional sclerosis in commercial property underwriting. The patient population is the global risk engineering team, stretched thin by retirements and manual processes. The standard of care today remains a slow, expensive, and increasingly scarce site visit by a specialist. Nettle’s bet is that the prescription is not just more specialists, but a new diagnostic tool that lets the ones already there see much further.
Sources
- [Tech Funding News, October 2026] Nettle raises $4.8M to fix commercial insurance's 6-month inspection backlog | https://techfundingnews.com/nettle-raises-4-8m-seed-mtech-risk-engineering-ai-allianz/
- [BusinessCloud, October 2026] Ex-McKinsey duo raises £3.6m seed to grow Nettle globally | https://businesscloud.co.uk/news/ex-mckinsey-duo-raises-3-6m-seed-to-grow-nettle-globally/
- [Insurance Edge, April 2025] Nettle Secures £1.45m in Pre-Seed Funding Round | https://insurance-edge.net/2025/04/08/nettle-secures-1-45m-in-pre-seed-funding-round/
- [Crunchbase, May 2023] Crunchbase Funding Round Profile | https://www.crunchbase.com/organization/nettle-971f
- [Perplexity Sonar Pro Brief, Unknown] Product and team overview
- [LinkedIn, Unknown] Profile for Nayur Khan
- [Nettle, Unknown] Company website and team biographies | https://www.getnettle.com/