AI-native underwriting and policy lifecycle platform for insurers
Federato builds an AI-native platform for insurance underwriting, using agentic AI to assemble explained quotes for underwriter review. Its stack pairs Python, TypeScript and Django with three orchestrators (Airflow, Dagster, Prefect) plus dbt and Kafka, a data-heavy shape built for ingesting structured insurance data into LLM workflows. Senior and VP-weighted hiring split between sales and engineering points to a push on enterprise go-to-market alongside agent orchestration work.
Notable leadership hires: Sales Director
Federato is a privately held insurance software company founded in 2020 and headquartered in San Francisco, CA. It sells an AI platform that spans the full policy lifecycle, helping underwriters triage submissions and produce on-strategy quotes faster. The company employs 51–200 people and hires across the United States, Australia and the United Kingdom. Its infrastructure runs on AWS and GCP with Kubernetes and Terraform, while sales operations use Salesforce, HubSpot, Gong and LinkedIn Sales Navigator.
Federato uses Python, TypeScript, React, Django, Node.js and PostgreSQL, with Airflow, Dagster, Prefect, dbt and Kafka for data, running on AWS and GCP with Kubernetes and Terraform.
Federato is building agent workflows and orchestration for AI product features, backend services connecting LLMs to structured insurance data, and internal frameworks for prompt iteration and observability.
Federato is headquartered in San Francisco, CA and hires in the United States, Australia and the United Kingdom, mainly for senior sales and engineering roles, including a Sales Director.
Other companies in the same industry, closest in size
Federato'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.