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Seeq is an industrial analytics platform widely used by process engineers for investigating and analyzing time-series data from manufacturing and industrial operations. It replaces Excel-based analysis workflows with machine learning-powered tools for trend identification, anomaly detection, and root cause analysis across historian and SCADA data sources. Seeq is particularly valued in process industries — chemicals, oil and gas, food and beverage — where engineers need to investigate abnormal process behavior and optimize production continuously.

Falkonry is a predictive operations platform that applies machine learning to time-series sensor data to help manufacturers anticipate equipment failures and operational disruptions before they occur. Its user-friendly interface allows reliability engineers and operations teams to build and deploy predictive models without extensive data science expertise. Falkonry's platform monitors equipment health across maintenance, reliability, quality, planning, scheduling, energy optimization, and batch release — making it a versatile choice for mid-market industrial companies.

SymphonyAI Industrial is an enterprise AI platform for manufacturing and industrial operations, offering predictive maintenance, quality intelligence, supply chain optimization, and generative AI capabilities purpose-built for industrial data. Its Sensa industrial AI suite integrates with historians, MES, ERP, and SCADA systems to deliver real-time operational insights, root cause analysis, and autonomous decision support. SymphonyAI serves process industries including chemicals, food and beverage, pharmaceuticals, and discrete manufacturing at global scale.