Specialty insurance platform for brokers and carriers
Artificial builds a cloud-native insurance platform (AWS + Haskell + TypeScript) serving specialty brokers and carriers. The tech stack—heavy on AWS primitives (Lambda, SQS, Step Functions, RDS, DynamoDB) paired with formal specification tooling—reflects a company moving toward automation and scalability in a domain known for manual processes. Active hiring is engineering-focused (8 of 11 roles), suggesting they're scaling backend infrastructure and product integrations rather than sales.
Artificial is a London-based insurtech company founded in 2013, focused on digitizing specialty and commercial insurance operations. The platform serves both brokers (streamlining placements and capacity management) and carriers (scaling underwriting via structured IP deployment). Current project work spans platform integrations, formal insurance product specifications, and cloud-native infrastructure—indicating a shift toward self-service customization and reduced manual handovers. The company operates across the UK and is privately held.
Haskell, TypeScript, AWS (Lambda, RDS, SQS, Step Functions, DynamoDB, ECS, Fargate), Azure, GCP, Docker, Terraform, PostgreSQL, MySQL, OpenSearch, and OpenTelemetry. They also employ Nix for environment management and CloudWatch for observability.
Core project areas include platform integrations with broker and carrier systems, formal specifications for insurance products, cloud-native infrastructure deployment, and improvements to the browser-based platform experience. Active effort on scaling pilot projects and reducing handovers between teams.
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Artificial Labs's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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