Location
Headquarters: San Mateo, California, United States, North America
Region: California
Country: US
Continent: North America
About
AtScale provides a universal semantic layer platform that enables governance-driven, AI-ready analytics by connecting business users and AI agents to live cloud data. The solution sits between cloud data warehouses and analytics tools to create a reusable semantic model of metrics and relationships, delivering sub-second queries and consistent insights without data movement. It targets enterprise data teams, BI professionals, and AI/ML practitioners across industries such as financial services and healthcare, helping unify business logic and empower autonomous AI-driven analytics. Headquartered with a global reach, AtScale emphasizes secure, governed data access and cross-tool interoperability.
AtScale provides a universal semantic layer platform that connects business users and AI agents to live cloud data warehouses. The solution creates reusable semantic models to deliver consistent insights and sub-second queries without data movement. It targets enterprise data teams, BI professionals, and AI practitioners to unify business logic and enable governed, AI-ready analytics.
AtScale, Inc.
2013
for_profit
active
Industries
Primary Industry: Media & Internet
Categories
Funding & Financials
Series D
108000000
10m-50m
private
Investors
Founders
David P. Mariani
James Lai
Matthew Baird
Sarah Gerweck
Leadership
David P. Mariani — Chief Technology Officer, Founder
Scott Howser — Chief Customer Officer
Momchil Michaylov — VP Global Engineering & Product
Mike Carlino — VP Customer Success
Cort Johnson — VP Business Development
Zachariah Eslami — Director of Product Management - AI/ML
Gaurav Rao — EVP & GM Machine Learning and AI
Technology Stack
Products
Universal Semantic Layer Platform: A platform that creates a unified, governed semantic layer mapping complex data to business terms, enabling live, secure data access and consistent metrics across BI and AI tools without moving data.
Analytics Mesh Framework: A federated framework for decentralized analytics product creation using composable, shareable semantic objects to balance governance and agility across business units.
Semantic Modeling Tools: Tools that enable building semantic models with both code-first and no-code approaches to support collaboration between data engineers and analysts.
Natural Language Query and Agentic AI Integration: Capabilities that enable natural language querying and feeding large language models with governed business context to support AI agents and chatbots.
Cloud Cost Management and Performance Optimization: Services that optimize cloud data warehouse query performance and manage cloud compute costs through automated tuning and caching.
