No-Code Data Transformation

Reduce the time and headaches of cleaning your customer’s data without writing code.

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User-friendly

Empower your end users to send you clean data, every time no matter their technical expertise.

No custom scripts

Complex data cleanup made simple with only a few examples or formulas, no coding or PhDs required.

Engineered for scale

No matter the size, shape, format, and frequency. We handle it all. And you control over how data is ingested.

Kiss manual data cleanup goodbye

No matter the size, shape, format, frequency, our source -
our AI-powered data transformation engine
is engineered to cleanup data without code.

Column mapping

Column mapping is useful when the source data in a specific column doesn't need to be transformed or cleaned up, just map to a destination column.

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AutoMap columns

Our AI automatically detects and maps columns from source to destination making it easier and faster to upload data.

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Real-time data validations

With customizable validation rules in place, you can help detect input issues and throw errors with actionable steps for the end-user.

We support server-side and client-side validations.

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One-click data cleanup

QuickFix is one-click data cleanup for the most common scenarios.

Or, you can use AutoClean to clean data at the touch of a button.

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Simply parse data

Provide a few examples of the desired output to teach our AI how to parse strings in that column.

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Spreadsheet-like formulas

Use formulas to complete complex transforms and parse data from one or more input columns.

We have several predefined formulas (such as CONCAT, DATE, ADD, IF, IFERROR etc.) that can be used together.

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Each upload gets easier and faster

We automatically recall how users previously cleaned and mapped data making each subsequent upload easier and faster!

Osmos automates the schema mapping. Big fan!

“Our SaaS platform allows customers to understand their data, but we can only do that if we integrate and translate a very long tail of sources and schemas - a painful engineering challenge. Osmos’ bridges the integration gap and their AI even automates the schema mapping. Big fan!”

~Aaron White, CTO, @Blissfully

Using GPT-4 for Data Transformation Without the Pitfalls

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?

Clean CSV Files with No-Code Data Transformation

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.

What's the Difference Between Data Wrangling vs Data Cleansing vs Data Transformations

Understand how data cleaning and data wrangling are just two of several steps needed to organize and move data from one system to another. And you'll see a simple way to automate these historically manual processes.

No-Code Data Transformation

User-friendly

No custom scripts

Engineered for scale

Kiss manual data cleanup goodbye

Osmos automates the schema mapping. Big fan!

Using GPT-4 for Data Transformation Without the Pitfalls

Clean CSV Files with No-Code Data Transformation

What's the Difference Between Data Wrangling vs Data Cleansing vs Data Transformations

Scale your customer data ingestion today!

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