APERIO DataWise is an operational data quality platform designed for industrial environments. The software connects to time-series data sources and uses unsupervised machine learning to detect data anomalies across millions of sensors without requiring manual configuration or custom rules. The platform addresses data quality issues including bad, missing, or stale data that can impact operational decision-making. It provides automated detection and alerting for data anomalies, enabling organizations to identify and remediate quality issues before they affect downstream analytics, AI models, or reporting systems. DataWise offers capabilities for fleetwide data validation, asset and sensor health monitoring, and operator effectiveness tracking. The platform includes workflows for root cause analysis and pattern recognition to measure, improve, and track data quality over time. The solution targets industrial sectors including oil and gas, chemicals, power and renewables, mining, pulp and paper, manufacturing, and pharmaceuticals. It supports use cases such as sustainability reporting, digital transformation initiatives, predictive maintenance, and regulatory compliance. APERIO DataWise maintains SOC 2 Type II compliance and has undergone Cybervadis security assessment. The platform aims to provide verified data quality from source systems to end-user applications across the industrial data value chain.