Meta acquires AI-powered analytics platform Sundial to expand its newly formed Data Analytics Tooling & Agents (DATA) unit led by Chief Data Officer Alex Schultz. Founded by former Meta executives Julie Zhuo and Chandra Narayanan, Sundial provides natural-language AI chatbot tools for data analysis and will stop serving external clients upon deal closure. Narayanan will lead Meta's data analytics tooling efforts as the company scales its analytics capabilities to meet growing artificial intelligence demand.
Meta acquisition of Sundial
- ▪Meta confirmed that it has acquired Sundial, an AI-powered data analytics platform founded by two former Meta employees
- ▪Sundial will be folded into Meta's data analytics organization and will cease serving external customers once the Sundial acquisition transaction closes
Sundial platform capabilities
- ▪Sundial's platform converts natural-language questions and complex data into actionable insights accessible through a chatbot plugin
- ▪Sundial's software enables organizational teams to perform self-service data analysis independently without relying on centralized data units
Sundial founders rejoining Meta
- ▪Sundial co-founder Julie Zhuo, previously vice president of product design at Meta, is rejoining Meta as part of Meta's acquisition of Sundial
- ▪Sundial co-founder Chandra Narayanan, former analytics chief at Instagram and Sequoia Capital, is rejoining Meta to direct data analytics tooling and agents
Meta DATA organization formation
- ▪Meta appointed former marketing chief Alex Schultz as its first chief data officer in July 2026 to lead its Data Analytics Tooling & Agents unit
- ▪Meta's Data Analytics Tooling & Agents unit handles descriptive analysis, product experimentation, and real-time monitoring of critical artificial intelligence systems
AI-driven analytics demand
- ▪Meta Chief Data Officer Alex Schultz stated in October 2026 that artificial intelligence technology has generated effectively unlimited demand for data insights
- ▪Meta is increasing investments in its internal data analytics organization to expand operational insights as artificial intelligence adoption accelerates
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