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Quanata Tech Stack

Telematics and behavioral data platform for insurance underwriting

Software Development San Francisco, California 201–500 employees Privately Held
quanata.com LinkedIn

Quanata builds data pipelines and machine-learning infrastructure to power context-based insurance underwriting. The stack reveals a data-intensive operation: Kafka + Kinesis for streaming, Snowflake + PostgreSQL for persistence, SageMaker + MLflow for model training, and Apache Airflow orchestrating batch workflows. Current hiring is balanced across data and engineering (6 each) with heavy senior-level emphasis (14 of 22 roles), suggesting maturation into platform and infrastructure work rather than feature velocity.

Tech Stack 51 technologies

Core StackKafka AWS AWS Glue AWS Lambda Snowflake Python Apache Airflow Terraform Go GraphQL gRPC PostgreSQL MongoDB TypeScript Docker Kubernetes Pandas NumPy scikit-learn SageMaker MLflow Snowpark Athena AWS Step Functions Kinesis dplyr ggplot2 AWS EKS Bazel Bash+19 more

What Quanata Is Building

◆Challenges

  • Maintaining accurate financial records
  • Ensuring smooth finance operating model
  • Improving accounting workflows
  • Optimizing architecture for performance and reliability
  • Integrating dynamic machine learning models
  • Maintaining accurate records and compliance
  • Improving payroll coordination
  • Scalable people processes
  • Automating actuarial solutions
  • Automating pricing workflows

▲Active Projects

  • Automated test frameworks for api components and data platforms
  • Appsec automation integration
  • Research new automated testing tools
  • Snowflake data warehouse modeling
  • Model training infrastructure
  • Policy management solution
  • Dynamic machine learning models
  • Enhancements of onboarding and offboarding processes
  • Creating internal job aids
  • Employee handbook updating

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Data
6
Engineering
6
Finance
2
HR
2
Ops
2
Product
2
Security
2

Seniority

Senior
14
Mid
5
Staff
2
VP
1

Notable leadership hires: Product VP

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About Quanata

Quanata develops behavioral and telematics data solutions for the insurance industry, focusing on better risk assessment and incentive design. The company operates across three layers: real-time data ingestion (Kafka, Kinesis, AWS Lambda), analytics and transformation (Snowflake, Airflow, dbt-adjacent tooling), and machine-learning model training and deployment (SageMaker, MLflow). The business serves underwriters and actuaries at insurance carriers, combining data engineering with actuarial science and product design.

HeadquartersSan Francisco, California
Company Size201–500 employees
Hiring MarketsUnited States

Frequently Asked Questions

What is Quanata's tech stack?

Quanata uses Kafka and Kinesis for streaming, Snowflake and PostgreSQL for storage, Apache Airflow for orchestration, and SageMaker and MLflow for machine-learning training. AWS services (Glue, Lambda, EKS) handle compute and ETL. Languages include Python, Go, and TypeScript.

What is Quanata working on?

Current projects include Snowflake data warehouse modeling, machine-learning model training infrastructure, policy management solution, dynamic ML model integration, and automated testing frameworks for data platforms and APIs.

How this profile is built

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 →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.