Zego is a motor insurer building around telematics, ML models, and claims automation. The tech stack (Python, Scala, Akka, Kubernetes, Snowflake, Amplitude) and active projects (ML platform evolution, model lifecycle tooling, API-first claims, telemetry integration) reveal a data-and-science-first operation; engineering hires are concentrated at senior and lead levels, suggesting infrastructure complexity around model deployment and real-time risk assessment rather than simple policy distribution.
Zego provides motor insurance for commercial drivers and fleets, with product coverage spanning new mobility operators. The company operates across the UK, Gibraltar, and Portugal. Core infrastructure sits on AWS with Kubernetes orchestration; pricing and risk models run on Python/Scala with Snowflake analytics. Active development spans a consumer-facing mobile app (iOS/Android), a mobile SDK for telematics integration, claims management APIs, and an evolving ML platform — pointing toward a strategy of embedding driver behavior data and real-time underwriting into the core product.
Zego runs Python, Scala, Akka, and Kubernetes on AWS with Snowflake for analytics and Amplitude for product instrumentation. Data science stack includes scikit-learn and pandas; infrastructure uses Docker, GitOps, and CI/CD pipelines.
Zego is headquartered in London and currently hires across the United Kingdom, Gibraltar, and Portugal. The company operates as a motor insurer serving commercial drivers and fleet operators in those markets.
Zego'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.