Telematics-driven, context-based auto insurance technology and platforms
Quanata builds context-based insurance products using telematics and behavioral data to encourage safer driving. Security is as large a share of its hiring as engineering, and its stack runs deep on AppSec tooling (CodeQL, Semgrep, SonarQube, Snyk), pointing to a push to harden AI-enabled systems. Core builds include policy, billing and financial ledger platforms on a Go/Python/Ruby stack with Kafka, Snowflake and Databricks.
Notable leadership hires: Product VP
Quanata is a privately held insurance technology company headquartered in San Francisco, California, with 201–500 employees. It develops context-based insurance solutions centered on telematics, mobile engineering and behavior design, aimed at improving how people drive. The team spans data science, actuarial work, engineering, design and marketing. Its platform runs on AWS, including EKS, Step Functions and SageMaker, with data workloads on Snowflake, Databricks, Airflow and Kafka. Hiring is concentrated in the United States.
Quanata uses Go, Python, Ruby, TypeScript and C# on AWS (EKS, Step Functions, SageMaker), with Kafka, Airflow, Snowflake, Databricks, MLflow, PostgreSQL, MongoDB, GraphQL and gRPC.
Yes. Security is a primary hiring focus alongside engineering, with mostly senior-level roles tied to AppSec automation, secure CI/CD and protecting AI-enabled systems. Hiring is accelerating.
Quanata is building a core policy platform, billing and financial ledger platforms, AppSec automation, secure AI engineering patterns and automated testing for complex data pipelines.
Other companies in the same industry, closest in size
Quanata'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 →
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