The First Mile

Solving the first mile of data ingestion
Featured
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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.

osmos cleans data
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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Fabric

Data Transformation for the Medallion Architecture in Fabric

Learn how to accelerate data transformation for the Medallion Architecture in Microsoft Fabric with Osmos.

osmos cleans data
Fabric

Osmos AI Data Wrangler is now GA with self-configuration capability

​Osmos has announced that its AI Data Wrangler is now generally available, featuring a new "AI Wrangler Context" capability that enables self-configuration for automating complex data cleanup tasks.

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Fabric

Designing for Microsoft Fabric: How Osmos Built the AI Data Wrangler

Osmos adapted our design system and Figma variables to launch the AI Data Wrangler on Microsoft Fabric.

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Powered by AI

What is AI-assisted data transformation?

Learn about Osmos’s AI-assisted data transformation solutions including fully-automated data cleanup and data mapping.

osmos cleans data
Fabric

Introducing the fully autonomous Osmos AI Data Wrangler on Microsoft Fabric

Your indispensable data cleanup tool in Microsoft Fabric. Automate the process of cleaning and structuring your data today.

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Case Studies
Data Pipelines
Data Uploaders
Data Onboarding
Data Transformation
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.

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.

Fabric

Data Transformation for the Medallion Architecture in Fabric

Learn how to accelerate data transformation for the Medallion Architecture in Microsoft Fabric with Osmos.

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

The 8 Best Customer Onboarding Software in 2022

Written by 
Katrina Kirsch

Customer onboarding is the start of long and successful relationships with users, if done well. By using customer onboarding solutions to streamline the onboarding process, it's possible to provide value, minimize effort, and reduce costs for you and your customers.

Data Onboarding

Why Data Onboarding is so Difficult and How to Solve It

Written by 
Katrina Kirsch

Data onboarding is the process of ingesting online and offline data into a product’s operational system(s) in order to successfully use that product. This process is an essential, yet difficult, part of collaborating with customers and partners. What makes it so hard? Why is it still an unsolved problem for many companies??

Data Onboarding

How to Improve B2B Data Exchange with No-Code Solutions

Written by 
Katrina Kirsch

In this post, we'll walk through the B2B partner data onboarding process, share the common challenges companies face, discuss the benefits of a streamlined process, and show how real companies increased productivity and reduced costs by improving their partner data onboarding. 

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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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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