Insurance platform for brokers and carriers managing risk, benefits, and operations
Zywave operates a multi-product platform serving brokers and insurers across claims, benefits, risk management, and agency operations. The tech stack spans .NET, React, Vue, AWS, and Azure with Kafka and RabbitMQ for event-driven architecture—a mature polyglot setup. Current project focus (Snowflake optimization, ELT pipelines, cloud migration, carrier integrations) and pain points (scaling data, regulatory compliance, manual month-end workflows) suggest the company is building toward higher-velocity data operations and tighter carrier ecosystems.
Notable leadership hires: Technical Lead, Team Lead
Zywave builds software for insurance brokers and carriers. Their product portfolio addresses claims handling, employee benefits, risk management, quoting, and agency management. Founded in 1995 and based in Milwaukee, the company operates at 501–1,000 employees with support across the United States, United Kingdom, Canada, and hiring expansion into India and the Philippines. Core pain points include regulatory tracking, billing and order-management delays, and month-end close inefficiencies—all driving internal modernization efforts around data platforms, cloud infrastructure, and process automation.
Zywave uses .NET Framework, C#, React, Vue, AWS (Lambda, RDS, API Gateway), Azure, Kafka, RabbitMQ, Docker, and Terraform. They also run Cube.js for analytics and Selenium for automation.
Active projects include cloud migration and modernization, Snowflake performance optimization, a scalable ELT pipeline, carrier integration platform, enterprise data platform modernization, and an agent performance dashboard tool.
Zywave'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.