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Awesome Features

Catch incorrectly formatted data before it costs you money

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ValiDiffer’s enhanced data differencing features analyze the entire data set, not just the headers, and produce comprehensive analysis reports outlining any data discrepancies and variation within your files.

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ValiDiffer™ specializes in data validation. Its A.I. driven validation features help you ensure imported data is correctly formatted, properly standardized, and ready for action.

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ValiDiffer™ utilizes AI, neural networks, and machine learning as an aid to automatically learn, validate, map, fix, and transform as much of your data into your ideal onboarding state as possible.

The Perfect Use Case


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ValiDiffer MetaData comparison

MetaData Comparison

This functionality compares and visualizes a complete metadata trending analysis of 30+ metrics for each field of information and its corresponding values (E.g., data_size, max_lines, confidence_score, distsize, data_type, specialty_data_type, etc.)

ValiDiffer Data comparison

Data Comparison

This functionally enables you to select a ‘Data Key Colum’ for comparison after which the data gets split horizontally allowing for side-by-side comparisons of data values. This feature is great for price sheet, product, invoice, and similar side-by-side comparisons.

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No Code

ValiDiffer is a no-code solution containing
a simple drag-and-drop interface.

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A.I. Driven

ValiDiffer utilizes A.I., neural networks, and
machine learning to optimize every onboard.

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ValiDiffer is an end-to-end solution; from
data onboard to file delivery.

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Metadata Trending Analytics

Discover, track, and visualize
file analyses & validation reports.

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Scalable Processing

ValiDiffer is capable of onboarding and
processing data files of nearly any size (TBs).

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Customizable Thresholds

User defined criteria and thresholds
for custom file analyses.

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ValiDiffer's core competence is providing visual metadata trending analytics which points out any possible errors and/or concerns with your file prior to import (in what we call 'data escrow') to validate and ensure a smooth data onboarding experience and avoid costly 'redo' cycles.

Use Case Description


ValiDiffer accepts a wide variety of structure file formats and is capable of analyzing data files of nearly any size (TB+).

Native Integrations Include:

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Any technical or non-technical professional onboarding data which requires specific formatting or content. Think customer success, marketing, product, IT teams and more. Let ValiDiffer help those responsible for onboarding your data!


Troparé Inc. (ValiDiffer's parent company) conducted a yearlong internal study of live customer data flows which showed a single client, with large bi-weekly data imports, can easily save $100,000+ in technical support costs by utilizing ValiDiffer over a 12 month period of time.

cathing errors before they end up in file transfers
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Simple drag and drop interface with intuitive operations fit for professionals of any technical expertise (no coding required).

Workflow Visualization

ValiDiffer's Use Case

Are you onboarding data on a daily, weekly or monthly basis? Well, you’re in luck!

In short, ValiDiffer is a no-code A.I driven data onboarding tool capable of processing, validating, and onboarding data files of nearly any size. Do you onboard data which requires specific formatting, structure, or content? Utilize ValiDiffer to prevent broken, problematic, or incorrectly formatted data files from entering time-consuming (recurring) data onboarding processes, virtually eliminating costly ‘redo’ cycles.

ValiDiffer has helped onboard billions of rows of data, we want to help onboard yours as well!

Rather read the long version? Click below.

Ah, you would like some more information on Validiffer's use case? No problem! Let's see if you can relate to the following:

Are you tired of trying to onboard large sets of data which should be correctly formatted but instead arrives with changed headers, missing columns, alternated spacing, disappeared values, different formatting, and more?

All too often, data files get onboarded (or should we say: ‘shoved over’) with incorrectly formatted data, which requires both you and the sending party to either revert the process, demand a new file, re-upload or download a secondary file, or manually re-edit the file – all costing a significant amount of time and money. ValiDiffer's core competence is providing metadata trending analytics prior to import (in what we call 'data escrow'), to validate your (scheduled) data dumps and workflow(s). ValiDiffer utilizes AI, neural networks, and machine learning as an aid to automatically validate, map, fix, and transform as much of your data into your ideal onboarding state as possible.

ValiDiffer's visual summarized analyses are instantly reported back to the uploading party, pointing out precise problems or concerns with the file (e.g. invalid headers, missing fields, malformed zip codes, required columns are empty or missing values, etc.) prior to the receiving party ingesting the data. By notifying the uploading party of defective files and identifying issues prior to entering transfer and load phases, both uploading and receiving parties can be assured of more consistently correct data onboarding sequences, virtually eliminating the costly 'redo' cycle.

This tool is unique in the industry and through its twelve (12) month ALFA phase has garnered savings upwards of $100,000+ in technical support costs for a single client doing bi-weekly file imports.

Spend less time onboarding data, and more time using it.

No Code Data Onboarding, A.I. Validation, and Analyses at Your Fingertips.