The First Mile

Solving the first mile of data ingestion
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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.

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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.”

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Fabric

Meet the Osmos AI Data Engineer: Code Generation built for data

The Osmos AI Data Engineer is an agentic AI that generates production-grade PySpark notebooks within Microsoft Fabric, streamlining data engineering tasks while maintaining full enterprise integration and governance.

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Fabric

Introducing Osmos 3.0: The Agentic Era of Data Engineering Has Arrived

Osmos 3.0 ushers in a new era of enterprise data transformation with agentic AI, shifting from AI-assisted tools to autonomous systems that handle complex, repetitive tasks and empower data teams to focus on strategic innovation.

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Case Studies
Data Pipelines
Data Uploaders
Data Onboarding
Data Transformation
Company

How I Learned to Stop Worrying and Love the CSV

Explore the enduring dominance of CSVs in data exchange despite their flaws, tracing back to historical needs for flexibility and human-centric solutions, contrasted against more structured alternatives like APIs and EDI.

Datasets

Flat Files vs CSVs: What’s Best for Customer Activation?

Not sure how to accelerate your data ingestion? Experience the power of adaptive AI and revolutionize how you onboard data with Osmos.

Data Ingestion

What is Flat File Data Ingestion? Structures & Uses | Osmos

Learn all about flat files and CSV data ingestion from the experts at Osmos. Your source for supercharged data ingestion.

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.

Data Pipelines

How to Build an ETL Data Pipeline without Code

Bringing in external data from a variety of sources is time-consuming, tedious, and manual work. Thankfully, there's a way to simplify and automate external data ingestion that unlocks growth, productivity, and uses less resources.

Data Pipelines

CSV to API: How to Ingest Clean CSV Files Without Writing Code

Struggling to import clean CSV files via API? It's possible to automatically clean and import CSVs with APIs without writing code using Osmos Pipelines.

Data Pipelines

Automate Product Data Ingestion with Low-Code ETL Pipelines

Osmos simplifies product data ingestion with easy-to-use tools that automate complex processes across the data supply chain.

Data Uploader

The Most Powerful Data Importer for Complex Data Ingestion

Written by 
Kirat Pandya

We're thrilled to announce that our powerful single-file data ingestion product, Osmos Uploader, just got simpler. But don’t mistake simplicity for loss of power.

Data Uploader

Build vs Buy Data Importer Guide

Written by 
Kirat Pandya

Building your own customer data importer can be beneficial depending on your use case. But before you jump headfirst into building your own solution, we’ve outlined 11 important and often overlooked variables to consider.

Data Uploader

CSV Importer: 6 Benefits of Self-Serve Data Ingestion

Written by 
Katrina Kirsch

As the amount of sources and volume of external data soars, using a self-serve CSV importer is increasingly important because they enable your customers to upload consistent, validated data that matches your system without taxing your engineering teams.

Data Uploader

CSV Upload Tool: How to Unlock Self-Service Data Ingestion

Written by 
Katrina Kirsch

Learn how to provides a self-serve experience for your customers and partners to upload their CSV files while you get clean data sent directly to your operational systems.

Data Onboarding

Ultimate Data Glossary | 121 Must-Know Data Terms | Osmos

Written by 
JD Prater

The data world is full of terms that are critical to your success. Take a deep dive into 121 must-know data terms every professional should know.

Data Onboarding

Insurtech: How to Automate Data Ingestion Without Code

Written by 
Julia Harold

Digitally transforming the insurance industry is no easy task, so don’t get bogged down ingesting external data. Improve your customer and partner experience while enhancing your team’s capabilities with a solution for your external data problems.

Data Onboarding

What is Data Onboarding? And Why It's Overwhelming Your Teams

Written by 
Katrina Kirsch

Without a smooth data onboarding process, your teams can become overwhelmed by the amount of work required to delight customers and ingest clean, validated data.

Data Transformation

Osmos Makes Data Ingestion Even Easier with Enhanced AutoMap AI

Written by 
Kirat Pandya

We have grounded our product in AI since day 1 with cutting edge features, so we’re proud to announce our enhanced AutoMap AI which is our first step towards revolutionizing data ingestion with generative AI.

Data Transformation

Make ops-driven data ingestion a reality with Osmos

Written by 
Naresh Venkat

Learn why your organization should let go of legacy ETL in favor of modern AI-driven ETL solutions that democratize data ingestion.

Data Transformation

Using GPT-4 for Data Transformation Without the Pitfalls

Written by 
Kirat Pandya

With the advent of GPT-4, it's tempting to imagine the possibilities of leveraging this powerful language model to perform tasks such as data cleaning and formatting. But is GPT-4 truly ready for these challenges?

Data Transformation

Clean CSV Files with No-Code Data Transformation

Written by 
Katrina Kirsch

To make CSVs usable across any system, companies can take advantage of no-code data transformation to quickly clean and validate data. Tools like Osmos simplify data cleanup —the process of converting the format, structure, or values of data to the required format of a destination system.

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Data Ingestion

FTP to BigQuery: How to Automate Data Ingestion in Minutes

Let’s take a look at one of the most common scenarios companies need to deal with on a regular basis: a customer or partner sends you CSV data via FTP and you need to clean data sent to BigQuery.

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Company

Osmos: Breaking Down Cross-Company Data Silos

Our vision is to eliminate cross-company data silos so applications can talk directly to each other across company boundaries.

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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.

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