Autonomous Data Validation For Cloud and Lake

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2018 IDC Innovator Award in Data Quality

AI/ML-powered Data Quality validation tool, DataBuck, was recognized by IDC for innovative solution in the DQ space. DataBuck’s AI/ML-powered business rule discovery automates a tedious, labor intensive and time consuming process for validating Data Quality from 6-9 months to just a few days.
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2017 Gartner Cool Vendor Award

An innovative tool that Gartner has recognized has the potential to change the big Data landscape. Big Data Quality Validation and Data Matching is done autonomously and effortlessly by Machine Learning algorithms that learn the expected behavior of data without manual intervention. Without coding, Data Quality deviations are picked out.

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Machine Learning-Guided Big Data Quality and Reconciliation Tool

DataBuck can validate your Big Data autonomously and at 10x speed of any other data validation tool or your own custom scripts. Clean data in 3 clicks and no-coding.
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Our Products & Services


Data inconsistencies and errors slowly creep in over time or as it moves between IT systems. FirstEigen’s DataBuck simplifies Data Quality error identification process from months to just 20mins. Powered by AI/ML algorithms it automatically learns data’s expected behavior and applies thousands of data validation checks without needing any coding. It also complements existing checks users may have in place, as it identifies additional unanticipated data quality errors from multiple data sets in just a few Clicks. It’s specialized in-memory, parallel processing algorithms deliver >10x speed over any other tool.

DataBuck is compatible with all major platforms (SQL/no-SQL/Hadoop/Cloud) and can elegantly handle both regular and Big Data.

Data Quality for Cloud

Data in the Cloud is notoriously error prone. DataBuck Cloud Edition is sepcially designed for Amazon AWS and Azure Cloud. It is a Cognitive Data Quality solution that self-learns data validation rules continuously and validates data for its business context and historical consistency w/o any programming or set up. It can also reconcile Cloud data with other sources. It can help you enforce constraints by flagging the bad data and sending out alerts to the right people. Cloud data validation can be operationalized in just a few clicks.

Predictive Analytic Services

Predictive Analytics

Get actionable insights to your business from our team of former management consultants, corporate executives and data scientists. We make it hassle-free and you can use the predictive models long after we are gone.

Our Partners

Biggest cause of analytics failure…

Analytics is wonderful when it works, it “… returned an average of $13.01 for each dollar spent this year, that’s up from 2011, when analytics yielded returns averaging $10.66”

If you can’t trust your data, you can’t trust your analytics or the decisions based on it. How can you win your customers hearts if you can’t know them because your data is incorrect? The hidden rot of inaccurate data will erode your brand promise and your customers will leave in droves.

Every business context is unique and the accuracy of your data has to be validated in your specific historical context. Accurate and reliable data validation checks have to use your specific historical trends and patterns to validate your data. In two decades of Data Quality consulting experience, we are yet to see a single organization that has been able to execute it reliably.

AI/ML-powered DataBuck self discovers Data Quality rules and patterns in your data and turns them into validation checks. Your analytics will be a lot more reliable and powerful within 6 weeks of using DataBuck to validate data.

Why Choose FirstEigen

  • Cognitive Data Quality for Cloud & Lake- Picked by Gartner and IDC as the best-of-breed in DQ solutions. Lessens work load by 80% on data stewards & SME’s for creating DQ rules

  • Get trusted data in a few clicks, w/o writing rules or coding

  • DQ Accelerators- reduce DQ effort from 9 months to just a few days

  • Scale DQ rule writing to 1000’s of data sets effortlessly using AI/ML


Great team to work with. Their can-do attitude is very infectious. The quality of work delivered is outstanding.
Partner, Market Research and Consulting Firm
This is a group that you should definitely consider for your analytics needs. They were instrumental in making big contributions with work we did for Big Box US retailers.
CEO, US Fashion Consulting Firm
I was mighty impressed with the expertise around management consulting and abilities in envisioning a complete solution that they brought to the table. With their help, we could deliver an excellent and implementable solution in a relatively time crunched environment. It was a great partnering experience for us.
Analytics Leader, Fortune 500 Technology Company

How Machine Learning can minimize risk of erroneous data

Our Self-Learning algorithms autonomously sieve out Big Data for errors so you know you have absolutely, positively trustworthy data always. They work silently in the background all the time, understanding your data and let you know if there is real deviant data or loss of Big Data Quality

In The News

Press Release

FirstEigen Certified On MapR Converged Data Platform

FirstEigen Certified On MapR Converged Data Platform Provides trusted data in a few clicks to MapR cluster Feb 12th 2018 — FirstEigen announced today that [...]


 AUTONOMOUS BIG DATA QUALITY VALIDATION TOOL WINS GARTNER COOL VENDOR AWARD CHICAGO – June 8, 2017 – Machine Learning has enabled the ability to autonomously validate Big Data Quality [...]

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