Microsoft has acquired Osmos, an AI-driven data engineering platform. It plans to integrate Osmos’s Agentic AI into Microsoft Fabric to move from human-assisted to fully autonomous workflows. Microsoft’s goal is to enable turning raw, fragmented data into AI-ready assets within Microsoft Fabric’s OneLake with minimal manual intervention.
The initial focus of Osmos was about solving the bottleneck of external data ingestion such as sharing data with customers and suppliers. It did this with machine learning. It used Inductive Program Synthesis and advanced DAG search to automate real-time data pipelines and later recognized the worth of LLMs to redefine data engineering by allowing AI to act as an agent rather than just a tool.
Osmos’s Agentic AI saw a move from human-led AI assistance to Agentic workflows that are AI-led and approved by humans. One of its key capabilities is autonomous ingestion which lets you automatically connect to diverse, inconsistent data sources. It also supports schema evolution that handles changes in data structure without breaking pipelines. Finally, it includes complex guardrails giving you built-in safety measures that allow humans to undo agent missteps while maintaining long-horizon automation.
The acquired firm decided to build natively within the Fabric Workload Hub so that it could be very close to the data lake. Explaining why it chose Microsoft’s ecosystem, Osmos said:
“Microsoft shares our belief that the future of data engineering is AI-native, deeply integrated, and built for enterprise scale. Fabric provides the foundation—OneLake, unified governance, and a rapidly growing ecosystem—on top of which autonomous data engineering can truly thrive.”
With the acquisition, the Osmos engineering team has joined Microsoft’s Fabric organization under Bogdan Crivat (CVP, Azure Data Analytics). Existing technology will be scaled to a global audience, allowing any organization using Fabric to automate their data preparation. Microsoft will post updates and integration roadmaps on the Microsoft Fabric Blog.