Stay Connected
Intelligence That Moves Markets
Your guide through the insurance innovation landscape.
Get the Weekly Intelligence Briefing
Author: Corey Wick
AXA XL appoints Leyla Delic as Chief Technology and AI Officer to lead AI deployment across its global specialty insurance operations.
Two-thirds of all InsurTech funding now flows to companies with an AI label. Re/insurers made more private technology investments in 2025—162 deals—than in any year on record. And global InsurTech investment rose 19.5% to $5.08 billion, the first annual increase since 2021. The numbers confirm what practitioners have felt for months: InsurTech is no longer an alternative model challenging the establishment. It is becoming the operational foundation of modern insurance. A new analysis from Digital Insurance maps seven structural forces accelerating that transition in 2026—and the data suggests the shift is further along than most executives realize. Why it matters…
Plymouth Rock’s Bill Martin argues legacy carriers are the real InsurTech innovators—with structural advantages startups can’t replicate. The disruption narrative may have it backwards.
Global InsurTech funding rebounded 19.5% in 2025, but the real story is who wrote the checks: re/insurers hit a record 162 deals, signaling a structural shift in how the industry finances innovation.
Insurance digital ad spend surges past $17 billion, but only 7% of insurers have scaled AI beyond pilots — a gap that defines the sector’s next competitive shakeout.
AI-powered platforms and backend infrastructure dominated InsurTech funding in February 2026, signaling a market that increasingly rewards operational depth over consumer flash.
UK-based mea Platform took $50M from SEP after four profitable years — a rare InsurTech path that challenges the industry’s grow-first orthodoxy.
February’s $1B+ InsurTech headline masks a deeper story: venture-backed deals concentrated heavily in AI-powered platforms, reinforcing a funding thesis that increasingly rewards automation infrastructure over distribution plays.
Flood risk models built on historical data are failing. With insured natural catastrophe losses exceeding $137 billion in 2024—the fifth consecutive year above $100 billion—and floods accounting for roughly $13 billion of that total in Europe alone, the industry’s reliance on backward-looking models is becoming an expensive liability. Enter AI-enhanced catastrophe modelling. In a panel discussion hosted by InsTech in October, Professor Paul Bates—Chairman and Co-Founder of Fathom, the Bristol-based flood intelligence firm acquired by Swiss Re in December 2023—outlined both the promise and the boundaries of applying machine learning to one of insurance’s most complex perils. The Core Shift:…
Clearcover, the Chicago-based AI-native auto insurer that has raised more than $560 million to date, is no longer content to keep its AI infrastructure in-house. The company’s founder, Kyle Nakatsuji, has launched Dearborn Labs—a forward-deployed AI practice designed to build and operate production AI systems inside property and casualty carriers and MGAs. The venture, reported by FinTech Global on March 13, represents a deliberate pivot from software licensing to operational embedding: Dearborn Labs places its teams alongside a carrier’s underwriting, claims, and distribution staff, with a commitment to shipping production systems within weeks. The model has a strong proof-of-concept behind…