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Artificial Labs has raised $45M in Series B funding to expand its AI-driven underwriting platform across global insurance markets. Backed by CommerzVentures, the London insurtech aims to modernise specialty insurance through automation, data intelligence, and scalable digital trading.
Artificial Labs, the London-based insurtech reengineering commercial and specialty underwriting with advanced AI, has raised $45 million in Series B funding.
The round, led by CommerzVentures with participation from Move Capital Fund I, Augmentum Fintech, 6 Degrees Capital, FOM, and TrueSight Ventures, signals solid investor faith in the company’s AI-first approach to modernising a century-old industry.
The new capital will power rapid scaling, including doubling headcount over the next 12 months and launching an expansion into the United States in 2026. It also reinforces the company’s foothold in the London Market, home to the world’s most complex risk trades.
At its core, Artificial Labs offers a proprietary AI platform designed to automate the technical choreography of underwriting and broking. By encoding institutional knowledge into data-driven algorithms, the system allows insurers and brokers to quote, price, and negotiate faster — without losing the human expertise behind the business.
“This round gives us the room to grow with confidence,” said David King, Co-Founder of Artificial Labs. “We have the teams, the technology, and the stability to support the largest brokers and carriers as they modernize how they operate.”
Unlike many insurtech startups chasing the retail side of insurance, Artificial Labs is taking aim at the specialty market — the realm of marine, aviation, and energy risks where deals are large, data is messy, and manual work slows everything down.
“Artificial’s platform tackles a structural inefficiency that’s hampered specialty and commercial insurance for decades,” emphasised Heiko Schwender, Managing Partner at CommerzVentures. “The combination of insurance domain mastery and deep engineering is rare — and it’s what makes Artificial stand out.”
The Series B raise not only underscores growing confidence in AI-powered underwriting, but also hints at a broader industry shift: insurers are beginning to treat data and automation not as conveniences, but as competitive advantages.
The most important shift is political rather than purely technical: power is moving from legacy process owners to those who can orchestrate data, models, and workflows end-to-end. Underwriters are not being replaced, but the definition of “good underwriting” is being rewritten around model literacy, real-time data use, and the ability to interrogate algorithms rather than spreadsheets.
The next few years will likely draw a sharp line between “AI-washed” initiatives and genuine transformation. Firms that bolt AI onto 30-year-old systems will see incremental efficiency; firms that rebuild their underwriting stack around AI-first platforms will be positioned to own the most complex, profitable risk. The open questions — explainability, regulatory comfort, and talent — are real, but they look more like execution challenges than existential roadblocks.
If Artificial Labs succeeds, the future of insurance could look less like a paper-laden legacy business — and more like a digital marketplace of real-time intelligence and precision.
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Jensen Huang's GTC 2026 reframed the AI race entirely: agentic AI, physical intelligence, orbital data centres and self-driving platforms have replaced benchmark wars. On the All-In podcast he tackled AI's PR crisis head-on. NVIDIA is building the infrastructure backbone of the next global economy.
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