Hundreds of companies trust Osmos with their data onboarding process so they can deliver delightful customer experiences, accelerate growth, and reduce internal bottlenecks.

Case Study

From Chaos to Clarity: How Osmos Streamlines Data Ingestion for Claims Processing

Messy, unstructured claims data—whether in PDFs, scans, spreadsheets, or photos—forces manual processing and causes delays, errors, and scaling issues in claims operations. Osmos solves this by deploying AI-powered agents that intelligently extract, validate, and structure input data into clean, compliant outputs without code or fragile workflows.

Case Study

When Growth Hits a Wall: The Hidden Cost of Messy Marketing Data

Messy, inconsistent marketing data from external sources wastes ad spend, delays campaigns, and slows revenue growth by creating hidden operational costs that act like a “growth tax.”

Case Study

Accelerate Customer Data Ingestion | Osmos Case Study

Learn how Rahi leverages Osmos Pipelines to streamline data ingestion and automate away hundreds of hours of manual data cleanup.

Case Study

KlickTrack Improves Customer Time-to-Value with Osmos

Instead of spending nights and weekends manually cleaning customer data, the KlickTrack team uses Osmos’ AI-powered data transformations to seamlessly cleanup and validate customer data, while avoiding costly human errors for government compliance.

Case Study

Mosaic Empowers Customers to Import Clean Data Every Time

Mosaic found a quick way to configure and embed a smart data uploader right into their application, while still being able to handle multiple customer data importing scenarios.

Case Study

Quartzy Scales Their Product Catalog Ingestion Process with Osmos

eCommerce distribution sites have to ingest product catalog data from many vendors which requires manually transforming and standardizing incoming data on tight deadlines. With the help of Osmos, Quartzy’s eCommerce Ops team spends less time ingesting data and more time growing their eCommerce business.