The APERIO solution automatically validates operational data at scale and in real-time. It greatly improves data quality in industrial operations which increases safety and efficiency and enables better business decisions.

The solution involves a patented, machine-learning process that builds time-series data models based on historical data (known as the “fingerprinting” process). The system builds a recognizable fingerprint for each signal and uses this to validate sensor and data accuracy in real-time.

The APERIO platform continuously monitors incoming operational data and is able to detect anomalies to a much higher degree of accuracy than current solutions. It flags issues as they occur and provides operators with confidence that the data they see is valid and that it reflects the true state of their assets.

APERIO serves global customers across multiple verticals, such as refining, mining, manufacturing, power transmission, power generation, process manufacturing, and other complex industries, where data integrity is crucial.

SAAS pricing model by tiers corresponding to the number of sensors that are being monitored.

APERIO can be deployed rapidly and requires zero configuration to get started. It connects to any data source and is completely agnostic to the equipment, sensor and data type. It has a comprehensive range of anomaly detection engines which ensures that operators are alerted to issues they might otherwise miss, while keeping false positives to a minimum.

Once an anomaly is detected, APERIO creates an alert in its standalone dashboard or it can send the alert to the customer’s preferred management software, database or 3rd party system. The software is built for the Cloud and is compatible with all public cloud vendors (AWS, Azure, Google, etc), but can also be deployed on-premise. The solution automatically scales up as new sensors are brought online.

1. Many of the major incidents in chemical manufacturing, oil & gas, utilities, and critical infrastructure in the past 15 years have been due to operators not being alerted in time to the true state of their assets (most often due to faulty sensors), or due to operators wrongly assessing the degree of risk associated with an alert. APERIO allows for safer industrial operations by detecting sensor data anomalies early and by giving operators confidence that their data reflects the true state of their assets.

2. Currently, the process of addressing poor data quality in industrial operations is expensive, overly complex, and non-scalable. APERIO automates this process by validating sensor data at scale and in real-time. It prevents mis-diagnosis of operational issues and greatly improves the effectiveness of initiatives that rely on valid data such as analytics and predictive asset maintenance.