Are you collecting dirty data?


Monitor your data collection to detect its unique patterns and history.


Detect errors and important anomalies using context based algorithms.


Act on warnings to improve your data quality and avoid risks associated with dirty data.

Our Technology

We know that you rely on your data, but how can you be sure you can trust it? According to Gartner: “Organizations believe poor data quality to be responsible for an average of $15 million per year in losses”. We want to help you be confident that your data is high quality, clean and consistent.

Static, rules based data validation is an inflexible solution to a dynamic problem. Data changes constantly, and along with it the requirements to solve issues. Our unique technology provides enhanced validation using statistically tested pattern recognition methods.

Easy Integration

Our cloud technology integrates seamlessly with your systems.

No Configuration

Start detecting errors instantly based on historical patterns with our context based validation.

Validation Types

Content type validations, outlier validations and error detection using predictive algorithms.

Full Row Validation

Validate fields based on other values in the same row.

Quality Score

Understand and track your data quality with our unique quality assessment.


Get notified about issues immediately through slack or email.


Visualize the data your users are entering and where errors are occurring.


Understand common errors in your data, and receive quality improvement suggestions

“Poor data quality costs the US economy $3.1 trillion per year”


“Data quality affects overall labor productivity by as much as 20%”


Knowledge workers waste up to 50% of their time hunting for data, identifying and correcting errors, and seeking confirmatory sources for data they do not trust”

Harvard Business Review

84% of CEOS are concerned about the quality of the data they’re basing their decisions on.


Get in touch to learn more.



100-838 Fort St.
Victoria, BC V8W 1H8