You need data you can trust. Everywhere. By everyone. For every application.


APERIO DataWise automatically validates operational data at scale to improve data quality, visibility, intelligence, and value, allowing for smarter business decisions based on real-time, trusted, superior data.


% of process data that is “bad”, per APERIO DataWise


% of advanced models that will fail without APERIO-validated data


Probability of data anomaly detection by APERIO DataWise


Productivity improvement of data scientists using APERIO DataWise

What does good data quality look like?

APERIO DataWise automatically measures and tracks hundreds of data quality metrics and instinctively distills them into some important metrics for the selected data set or site. They help prioritize criticality and provide actionable insights to remediate bad data and improve data quality.


APERIO automatically validates operational data at scale to improve data quality, visibility, intelligence, and value, allowing for smarter business decisions based on real-time, trusted, superior data.


Connect to any data source: process historians, SCADA, data lakes, time series data, CSV files, etc. With no limits on sensor, source, or equipment type, you can easily connect to more than 10M live data streams.


Calculate several metrics that help prioritize events and prepare remediation steps. You can dive deeper to look at the data by anomaly type and track DQI over time.


Prioritize events that make the greatest impact on data quality and operability. Fast root cause analysis and accurate tracking of implemented resolutions make for efficient identification of recurring issues.


Use workflows, root cause analyses, and pattern recognition to drill deeper into the data for insights. Implement remediation steps that promote easy resolution and tracking of data quality improvement.

I don’t have to do anything. I give you my physical IO and then you can give me plant health.

– Automation Lead

Our Competitive Advantage

Large Tech
Start Ups*

Any data source; any end user application

Limited to their data stack

Niche integrations

Scope of data
Broader application of OT dataLimited to IT data onlyIT data, some seeking expansion to OT data

More than 10M tags with unlimited sites or servers

Scale limited to vendor and customer integration tools

Root Cause Analysis
Rigorous root cause analysis + data lineage workflowsData lineage onlySegment analysis only
Resolution Capabilities

Proposes remediation steps; tracking enables improvement

Cannot tell why error occurred or propose workflow to remedy

Prevention Tools
Early detection of data issues via pattern recognitionMust negotiate data contracts between owners and manually map workflows

Highly interactive automated tool with supervisory options

Hard-coding is required

Few workflow options; not a priority

Depth of Testing
Hundreds of sites and servers with millions of data streamsBroad but small-scale applicationsFew niche applications

*Includes evaluations of Alteryx, Cognite, Databand, Sight Machine, Timeseer, Validio

The APERIO Difference

We connect to millions of data streams for all equipment and sensor types, without needing manual and custom configuration.

We utilize automated, unsupervised ML engines that assess data health and reliability, without manually defining rules or duplicating tags.

We measure, improve, and track data quality through smart work-flows, rigorous root cause analyses, and efficient pattern recognition.

We deliver verified data for confident data-driven decision-making, driving business value from the control room to the boardroom.

Deploy trusted data quality at scale

Automatically validate operational data at scale to improve data accuracy, visibility,
and intelligence, allowing for smarter business decisions based on real-time, trusted data.

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