Uptake is a provider of predictive analytics software that collects and interprets sensor data for clients in mining, rail, energy, aviation, retail, and construction industries. Uptake integrates cross-industry expertise, data science, and workflow connectivity to build high-value solutions based on massive data sets, identify problems before they happen, and drive safety, efficiency, and productivity.

Element Analytics is an industrial analytics software company that makes data work for people, proactively surfacing insight where it's needed most. The Element Platform transforms data into insight, helping industrial organizations make the best-informed decisions for greater efficiency, sustainability, and profit.

SparkCognition builds AI solutions for applications in energy, oil and gas, manufacturing, finance, aerospace, defense, and security. SparkCognition's products include Darwin for automated model building, DeepArmor for AI-built cybersecurity, SparkPredict, an analytics solution, and DeepLNP, a natural language processing solution.

Seeq is an advanced analytics solution for process manufacturing and IIoT data sets. Seeq’s multiple applications empower engineers to collaborate, investigate and publish insights from data in manufacturing applications and historians. Analytics may be of any type, including diagnostic, monitoring, and predictive analytics to find insights that can be used to drive continuous improvements in key production and business metrics.

Veros Systems provides customers with continuous, non-intrusive, scalable, predictive monitoring of industrial asset reliability and energy use across an entire enterprise. At the core of the Veros product is the Predictive Intelligence Platform (PIP), which analyzes 300+ discrete reliability and energy efficiency metrics from voltage and current waveform data and then transforms that data into actionable intelligence for engineers, plant supervisors, and corporate executives. End-users can receive alerts via email or SMS, warning them of an electrical or mechanical fault that may lead to a catastrophic failure sometime in the future. To dig deeper, end-users can turn to PIP's web-based interface, or integrate with leading Enterprise Asset Management suites.

Falkonry enables predictive operations for companies seeking to improve the uptime, quality, and throughput of their operations. Falkonry’s machine learning system enables operations teams to discover, explain and predict operational behaviors, without requiring data scientists. The product can be deployed across the enterprise either on-premises, in the cloud or on the edge. It enables customers to save millions of dollars in operating costs and achieve a 5-10 times ROI.