AI-driven property insurance for apartments, condos and rental homes
Honeycomb Insurance underwrites commercial real estate policies using computer vision and AI, and its stack shows it: Labelbox, CVAT and Encord for image annotation alongside PyTorch, TensorFlow, LangGraph and OpenAI. Engineering work centers on refactoring legacy services into NestJS-based microservices, while a sales-heavy hiring mix and agency onboarding projects point to growth through retail agent distribution.
Honeycomb Insurance is a Chicago-based, privately held insurer founded in 2019 that covers apartment buildings, condominium associations and single-family rental properties. It sells to property owners, property managers, association boards and retail insurance agents through a digital purchasing platform. The company employs 51–200 people and hires across the United States, Israel and Australia. Its operations span underwriting, risk and catastrophe modeling, agency partnerships and a core platform built on Node.js, MongoDB and Kubernetes.
Honeycomb runs Node.js, NestJS, TypeScript, MongoDB, Kubernetes and BigQuery, with Angular, React and Vue on the front end, and PyTorch, TensorFlow, OpenAI and LangGraph for AI and computer vision work.
Honeycomb Insurance is headquartered in Chicago, Illinois, and also hires in Israel and Australia.
Current initiatives include refactoring legacy services into core microservices, environmental and catastrophe modeling, behavioral risk modeling, and an agency onboarding and training program.
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Honeycomb Insurance'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.