Azos operates a digitized life insurance platform targeting Brazilian consumers, built on Python + Flask/FastAPI/Django + PostgreSQL/MongoDB with event streaming (Kafka/RabbitMQ) and cloud infrastructure across GCP, AWS, and Azure. Active projects span policy issuance, reinsurance management, broker engagement, and churn analysis—indicating a maturing backend infrastructure supporting both consumer acquisition and broker-channel operations. Sales hiring velocity is outpacing engineering, suggesting a shift from product-build toward market expansion.
Azos is a Brazilian life insurance company founded in 2020, operating a direct-to-consumer model. The platform handles policy issuance, underwriting integration, broker management, and performance analytics. Operations are concentrated in São Paulo with 51–200 employees, structured around sales (highest headcount), engineering, finance, product, marketing, and emerging data functions. Current initiatives include automating broker workflows, optimizing policy issuance via partner integrations, refining reinsurance contract workflows, and analyzing broker and customer cohort behavior to reduce churn.
Azos runs Python backends (Flask, FastAPI, Django), PostgreSQL and MongoDB for data, Kafka and RabbitMQ for event streaming, Docker for containerization, and multi-cloud infrastructure (GCP, AWS, Azure). Frontend is React/Next.js with TypeScript and Vue/Angular support.
Active projects include policy issuance and partner integrations, reinsurance contract management, broker engagement and retention, churn analysis via cohort funnels, and performance monitoring. Internal pain points center on operational bottlenecks, regulatory compliance, and sales friction.
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