Microsoft Acquires Osmos to Boost AI Data Engineering in Fabric

January 06, 2026
Microsoft has acquired Osmos to enhance autonomous data engineering capabilities within Microsoft Fabric. The move aims to simplify data preparation by integrating agentic AI to process raw data into analytics-ready assets in OneLake.

Microsoft announced in a company blog post that it has acquired Osmos, an agentic AI data engineering platform designed to streamline complex data workflows within Microsoft Fabric.

Osmos applies agentic AI to transform raw data into analytics and AI-ready assets stored in OneLake, Microsoft Fabric’s unified data lake. The integration aims to reduce manual data preparation and simplify how organizations connect, prepare, and analyze information.

The Osmos team will join Microsoft’s Fabric engineering organization to advance the development of AI-driven data experiences, supporting the company’s efforts to unify data and analytics under a single, secure platform.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

AI Funding News AI Brief AI Brief (X)

More from: Funding

01/07
Siemens CEO Roland Busch Eyes Acquisitions in AI, Life Sciences, and Operations Software
01/07
Biobeat Raises $50 Million Series B to Expand Cuff-less Blood Pressure Monitor
01/05
Hong Kong Allocates $3 Billion for AI Supercomputing Subsidy Scheme
01/05
Palo Alto Networks in Talks to Acquire Israeli Cybersecurity Startup Koi for $400 Million
12/31
team.blue Acquires AI Web App Builder Macaly

Subscribe to AI Funding Brief

AI Token Webinar

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more

You May Also Like