Validate Your Data Without Compromising Your Security

DataCheckr AI – AI that helps you trust your data

DataCheckr AI is an AI-powered checking engine that helps you find and understand errors in your data before they turn into costly problems.

It starts with a rich set of built-in checks that work across many types of datasets. As you use it, DataCheckr AI observes which issues you treat as errors and how your data is structured. From this, it learns heuristics – reusable patterns and rules about what “good data” looks like in your environment.

Importantly, DataCheckr AI never stores your underlying data. It remembers patterns, not values.

  • Works from zero on new datasets
  • Improves its checks as you use it
  • Designed so your data stays under your control
Available in Microsoft AppSource
and from Excel Add-Ins
Add it to your Excel Toolbar
To err is human!

Our long-term goal is simple: wherever people enter or handle data that matters, DataCheckr AI should be there to help them trust it. We are starting in Excel, because so much business-critical data passes through spreadsheets at some point in its life, but the same approach can be adapted to validate data wherever it exists.

To see how this works inside Excel today, visit the DataCheckr AI for Excel page.

Explore DataCheckr AI

How DataCheckr AI Works With Any Dataset

Every organisation structures data differently. Column names, formats and business rules vary from system to system, team to team and process to process.

DataCheckr AI is designed for this reality:

  • It can start from zero on a new dataset, using built-in checks that apply broadly.
  • It analyses your data to spot patterns, relationships and likely rules.
  • It highlights values and records that don’t fit those patterns.
  • As you review and respond, it learns heuristics that better match your own data structures and business logic.

Over time, this creates a data-checking template for that environment – essentially a learned set of expectations for what “good” looks like in that context. When you work with similar data again, DataCheckr AI reuses and refines this template, so checks become faster and more accurate.

Why Data Quality Matters

Data quality problems rarely stay small. They can lead to:

  • Decisions being made on incorrect or incomplete information.
  • Submissions being rejected by regulators, clients or partners.
  • Financial and operational reports that misstate the true position of the business.
  • Lost time as teams manually hunt through rows and columns to find where things went wrong.

DataCheckr AI helps by:

  • Catching issues early – before they move into other systems or reports.
  • Reducing manual checking – less scrolling, filtering and guesswork.
  • Creating consistency – similar data is checked to the same standard every time.
  • Improving over time – as it learns your patterns, checks become more targeted.
Who DataCheckr AI is For

DataCheckr AI is designed for anyone who relies on data to do their job well, including:

  • Analysts and reporting teams
    Who need confidence that the numbers behind their dashboards and models are sound.
  • Finance and accounting teams
    Who prepare forecasts, management reports, regulatory submissions and reconciliations.
  • Operations and compliance teams
    Who manage processes where errors can create risk, cost or regulatory issues.
  • Data owners and business users
    Who maintain key lists and tables – customers, employees, transactions, portfolios and more.
  • Consultants and service providers
    Who work with client data and need a quick, reliable way to review data quality.
  • Individuals who care about accuracy
    From small-business owners to researchers and students who want to trust their own spreadsheets.

If you work with structured data and need it to be right, DataCheckr AI is built for you.

Data, privacy and control

DataCheckr AI is built on a simple principle: your data is yours.

In practice, that means:

  • All checking is designed so your data stays under your control. For DataCheckr AI for Excel, this means the add-in analyses your data locally in the spreadsheet.
  • We do not store or reuse your underlying data values. What we retain are high-level heuristics – patterns and rules about what valid data looks like – not the data itself.
  • Any information under our control, such as these heuristics and supporting service data, is encrypted in transit and at rest.

You gain the benefits of AI-supported checking and continuous learning, without handing over your raw data to us. For more detail, see our Trust & Data Protection page.

Where DataCheckr AI is heading next

Today, our focus is on DataCheckr AI for Excel, because so much critical data still lives in or passes through spreadsheets.

Over time, the same engine can be adapted to work wherever structured data is captured and maintained – for example in web forms, line-of-business applications or other productivity tools. The goal is that the heuristics learned in one environment can help you maintain better data quality across many.

As we expand, we will continue to apply the same principles: local-first analysis where possible, clear explanations of issues, and strict separation between your underlying data and the heuristics we retain.

To see the current production product, visit the DataCheckr AI for Excel page.

Get it now on MS Appsource