Cube Dev
Our mission is to power the next generation of data experiences by bringing clarity, consistency, and context to all your business data and making it easy to securely deliver that data to every data consumer in the enterprise.
At a Glance
- Data Engineering
- Analytics Engineering
- Software Development (SaaS)
- Enterprise Data Teams
AI Tools by Cube Dev
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Cube
Semantic Layer for AI Analytics
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Latest News
Cube raises $25 million for universal semantic layer
Cube Cloud Named Leader in 2025 GigaOm Radar for Semantic Layers
Cube Recognized in the 2026 Gartner® Market Guide for Agentic Analytics
Cube expands support for Google Ecosystem with Google Sheets Connector
Products & Services
An open-source universal semantic layer for data modeling and analytics.
A fully managed SaaS platform for the universal semantic layer with advanced caching, security, and scalability features.
Market Position
Positions as the 'Universal Semantic Layer' that is vendor-agnostic, supporting any data source and any downstream tool, unlike tool-specific semantic layers (e.g., Looker, dbt).
Leadership
Founders
Artyom Keydunov
Co-Founder and CEO of Cube. Previously Co-Founder and CEO of Statsbot (2016-2020), a data analytics startup. Also worked as a Senior Ruby Developer at Happy Numbers.
Pavel Tiunov
Co-Founder and CTO of Cube. Previously Co-Founder and CTO of Statsbot. Holds a PhD. Previously co-founded AllcountJS and worked as a freelance software engineer at Toptal.
Executive Team
Artyom Keydunov
Co-Founder / CEO
Previously co-founded Statsbot; background in engineering and data analytics.
Pavel Tiunov
Co-Founder & CTO
PhD in Computer Science; previously co-founded Statsbot and AllcountJS.
Board of Directors
Founding Story
Founded by Artyom Keydunov and Pavel Tiunov who previously started Statsbot. They saw that data models were fragmented across too many BI tools and cloud silos, leading to inconsistent metrics. They created Cube to provide a single, universal semantic layer that bridges the gap between data sources and consumers.
Business Model
Revenue Model
Open core model with a SaaS subscription for Cube Cloud and custom pricing for Enterprise customers.
Pricing Tiers
Up to 5 workbooks, basic data modeling and exploration.
Includes Cube Store caching, Semantic Layer Sync, and premium LLMs.
Includes embedded dashboards, custom domains, and 99.95% SLA.
Includes dedicated installation, BYOC, SSO, and 99.99% SLA.
Target Markets
- Data Engineering
- Analytics Engineering
- Software Development (SaaS)
- Enterprise Data Teams
- Embedded analytics
- Headless BI
- Semantic layer for LLMs and AI agents
- Metric centralization across multiple BI tools
- Drata
- Webflow
- Jobber
- Alcon