Meta acquires Sundial for its data analytics organization

Meta acquired Sundial, a company spokesperson confirmed to Axios, which reported the deal on Oct. 23, 2026.[1] Sundial was founded by two former Meta employees.[1] The company will be integrated into Meta’s new data analytics organization, which Alex Schultz leads.[1] The deal also changes Sundial’s availability: it will stop serving external customers when the acquisition closes.[1] The evidence does not state when closing will occur or describe any transition arrangements for current customers.

Sundial co-founders Julie Zhuo and Chandra Narayanan will join Meta.[1] Zhuo previously served as Meta’s vice president of product design.[1] Narayanan previously led analytics at Sequoia Capital and Instagram and was Facebook’s director of analytics.[1] Narayanan will lead Meta’s data analytics tooling and agents work.[1] Other Sundial employees, including several Meta alumni, will also join Meta and bring the company’s AI analytics technology.[1] The evidence does not specify how many employees are joining or their individual roles.

Sundial describes its platform as agentic analytics software designed for trust and speed, and says it works with customers’ existing technology stacks and LLM tools.[3] The company says the platform audits data quality, handles data modeling and conducts analysis to provide insights to teams.[3] NewsBytes reports that Sundial’s chatbot plugin turns natural-language questions and complex data into simple, actionable insights.[2] Sundial also says its platform identifies a confidence level so users can distinguish guaranteed findings from directional ones.[3] These are company descriptions, not independent assessments of performance.

Axios reported that Meta is expanding its data and analytics team as AI increases demand for insights.[1] Meta named Schultz its first chief data officer in July, and he oversees the newly formed Data Analytics Tooling & Agents unit, nicknamed DATA.[1] DATA handles descriptive analysis, including identifying questions Meta has not yet asked; it also runs experiments on Meta’s data and AI products and monitors critical AI systems, issuing alerts.[1] Schultz said AI has created effectively unlimited demand for insights and that Meta wants to define the future of AI analytics.[1]