Meta buys AI analytics startup Sundial, founded by two of its alumni
What's the deal? Meta has acquired Sundial, an AI-powered data analytics platform co-founded in 2021 by two former Meta executives, Julie Zhuo and Chandra Narayanan. The company confirmed the deal to Axios on October 23, 2026, but did not disclose a price.
What Meta is getting: Sundial builds self-service analytics tools that turn natural-language questions into actionable insights, letting teams analyse data without routing every query through a central data unit. Its technology and staff — several of them Meta alumni — will join the company. Sundial will stop serving external customers when the deal closes.
Why now? Meta named Schultz its first chief data officer in July, tasking him with a new Data Analytics Tooling & Agents unit nicknamed DATA. Sundial folds into that organisation, with Narayanan set to lead Meta's analytics tooling and agents work.
What's the endgame? "AI has created effectively unlimited demand for insights, and we want to define the future of AI analytics," Schultz wrote. The acquisition sharpens Meta's internal decision-making rather than adding a public product.
What could go wrong? Sundial's client list includes OpenAI, a Meta rival in AI. It is unclear what happens to those customer relationships now that the startup sits inside Meta and plans to end external service.
Sundial raised $23 million in total, including a $16 million Series A in July 2025 led by DJ Patil of GPV, with backing from Sequoia Capital. The exit gives those investors a resolution and other AI analytics startups a reference point.
The signal: The deal fits a broader shift in which major software companies buy AI analytics and data capabilities rather than build them alone. Salesforce agreed in October to acquire LoopsDealroom has a profile for this one. Try Dealroom → for Tableau, while Microsoft and SAP added AI data tools this year. With no price disclosed and external service ending, Sundial reads as a targeted talent-and-tools deal.
Read more: cryptobriefing.com, Axios
Image credit: infomatique
