Osmos AI Data Wrangler

As enterprises accelerate AI adoption, they must ensure that all of their data is usable and AI-ready. However, most enterprise data is messy - semi-structured or unstructured, arriving in inconsistent formats from customers, partners, suppliers, and internal sources. Traditional ETL approaches rely on rigid pipelines, requiring constant engineering effort to adapt to schema drift, missing fields, and poor data quality. Osmos’ agentic AI analyzes the raw data in any format, adapts to changes in schema and data formats, and autonomously converts messy, disparate “bronze” data into high-quality, structured “silver” assets, without human intervention.

Osmos AI Data Wrangler is a native workload on Microsoft Fabric, and automates data ingestion, transformation, and standardization while eliminating the need to manually wrangle data with traditional ETL tools, pipelines, or code. The wrangler employs an agentic architecture, where different AI agents interact dynamically to process complex, non-standard data into accurately structured formats without human intervention. Osmos is rapidly building towards a future where ETL/ELT is fully autonomous, and has already garnered significant enthusiasm from enterprises across industries.