AI-native underwriting platform spanning the full insurance policy lifecycle
Federato builds an agentic AI platform designed to accelerate underwriting decisioning across the full insurance policy lifecycle. The tech stack—Python, Django, PostgreSQL, Kafka, dbt, Kubeflow, Airflow, and Dagster—reflects a data-heavy, ML-first architecture optimized for real-time policy processing and workflow automation. Engineering dominance in hiring (11 of 27 active roles) paired with active projects around scalable ML pipelines and submission intake suggest the company is scaling compute and data infrastructure to handle volume, while simultaneous work on pre-sales lifecycle and named-accounts hiring signals a shift toward larger enterprise deals.
Federato is an AI-native insurance platform founded in 2020 and headquartered in San Francisco. The product automates underwriting decisioning by generating fully explained quotes through agentic AI, targeting the slow, fragmented workflows that characterize traditional policy lifecycle management. The company serves insurance underwriters and risk teams at mid-market and enterprise insurers. Federato operates across North America and the United Kingdom, with 51–200 employees and an accelerating hiring velocity focused primarily on engineering and sales infrastructure.
Federato's stack includes Python, Django, PostgreSQL, Kafka, Kubeflow, Airflow, Dagster, dbt, React, TypeScript, Kubernetes, and AWS/GCP. The architecture emphasizes data pipelines and ML orchestration for real-time underwriting automation.
Federato is actively recruiting in the United States and United Kingdom across engineering, sales, marketing, data, product, and operations functions.
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