Every industry is undergoing an agentic transformation—with AI agents taking on autonomous roles across marketing, finance, customer service, and software engineering. Osmos brings this agentic wave to enterprise data. Osmos deploys AI Data Agents that reason, act, and adapt autonomously to solve two of the biggest bottlenecks in data readiness: messy, unstructured files, and complex, brittle ETL workflows. With no templates, no brittle pipelines, and no hand-holding, Osmos AI agents autonomously ingest, reason, and transform raw data into analytics-and-AI-ready outputs that meet enterprise-grade quality and scale.

At the heart of Osmos are two agentic solutions:

AI Data Wrangler: designed to handle irregular, "messy" files like PDFs, Excel sheets, fixed-width formats, and messy CSVs, delivering clean, structured data directly to your lakehouse tables.
AI Data Engineer: operates like a smart, mid-level data engineer, autonomously writing plans, building, testing, and iterating on execution-ready Spark notebooks to solve complex data engineering tasks.

Built on a dynamic agentic AI architecture, these agents operate independently or in concert, reason through edge cases, self-correct, and output production-grade assets. Available as a native workload on Microsoft Fabric, Osmos replaces manual wrangling and brittle ETL with autonomous data engineering—scalable, testable, and always on.

Osmos AI Data Agents for Microsoft FabricOsmos

Osmos AI Data Agents for Microsoft Fabric

Osmos

Osmos AI Data Agents for Microsoft Fabric

Osmos

Osmos AI Data Agents for Microsoft Fabric
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