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Artificial Labs raises $45 mn Series B to scale insurance tech

Artificial Labs raises $45 mn Series B to scale insurance tech

Artificial Labs, a London-based insurtech that builds digital broking and underwriting platforms for the specialty and commercial insurance markets, closed a $45 mn Series B funding round, securing fresh capital to accelerate growth across specialty and commercial insurance markets.

The raise marks a step-change moment for the business as it pushes beyond early-scale execution.

Artificial Labs provides a cloud-based platform that digitizes and automates underwriting and placement processes that are traditionally email- and spreadsheet-driven.

Its tooling covers data ingestion, risk triage, contract building, and an underwriting workbench that can sit on top of legacy systems or Artificial’s own core system. The aim is to improve data quality, accelerate decision-making, and reduce operational costs for specialty market participants

David King, co-founder of Artificial, said the funding creates room to grow with confidence rather than urgency.

He said the company now holds the teams, infrastructure, and financial stability needed to support large brokers and carriers as they update operating models and trading workflows.

This round gives us the room to grow with confidence. The investment allows us to scale in a way that keeps pace with our clients. We have the teams, the technology, and the stability to support the largest brokers and carriers as they modernise how they operate.

David King, Co‑Founder of Artificial

The company plans to move fast. Artificial expects to double headcount over the next twelve months, reinforcing its position as a core technology partner for insurance distribution and underwriting.

According to Beinsure analysts, insurers increasingly favor platforms able to scale alongside complex placement volumes without fragmenting workflows.

Geographic expansion also sits high on the agenda. Artificial plans to enter the US market in 2026 while deepening its footprint in the London Market, where it already works closely with specialty insurers and brokers.

Management framed London as both an anchor market and a launchpad for international growth.

Johnny Bridges, co-founder of Artificial, said the platform focuses on solving structural problems rather than surface inefficiencies.

He said the new capital supports team growth, continued product development, and long-term positioning as a default digital trading layer for insurance firms seeking alternatives to legacy systems.

“We have built a platform that solves real problems for insurance,” said Johnny Bridges, Co‑Founder of Artificial. “With this investment, we will grow our team, continue to innovate, and ensure that Artificial remains the natural choice for brokers and carriers seeking a smarter way to trade digitally.”

The round was led by CommerzVentures, with participation from Move Capital Fund I. Existing backers including Augmentum Fintech, 6 Degrees Capital, FOM, and TrueSight Ventures also joined the round, extending their support.

  • Heiko Schwender, managing partner at CommerzVentures, said Artificial addresses a structural efficiency problem embedded in commercial and specialty insurance for decades. He pointed to the team’s combination of insurance domain knowledge and engineering depth as a differentiator in a market slow to modernise.
  • Hervé Malausséna, founding partner at Move Capital Fund I, said Artificial sits well-positioned to relieve bottlenecks across specialty risk placement. He described the platform as a rare case where sector expertise converts cleanly into scalable, data-driven execution across complex insurance operations.

With funding secured, Artificial shifts focus from capital formation to execution. Growth now hinges on hiring pace, platform adoption, and how effectively the company translates digital capability into measurable operating gains for brokers and carriers navigating structural change.

The company emphasizes algorithmic and rules-driven underwriting, workflow automation, and deep integration with existing insurance systems.

By centralizing structured and unstructured data around a placement, Artificial Labs helps underwriters assess risk consistently and supports brokers in presenting risks and tracking placements through the full lifecycle. Its platform is designed for high volume and complex structures typical of specialty and (re)insurance markets.