Companies in this market use AI and machine learning to streamline production processes, eliminate bottlenecks before they occur, monitor plant conditions, and prevent failures of physical assets like pipes, valves, and pumps. Many companies offer integration with equipment manufacturers and industrial data software firms.
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Claim your CB Insights ProfileLeaders are the most established service providers in the market and possess the breadth to address various customer needs.
See why these companies made it as leaders for Predictive Maintenance & Analytics. These companies include Seeq and SparkCognition.
United States / Founded Year: 2013
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.
Steven Sliwa, Jon Peterson, Brian Parsonnet
United States / Founded Year: 2013
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.
Schlumberger, Skygrid, Skygrid, and 2 more
Amir Husain, Vijay Doradla, Jeffrey Lass, and 2 more
United States / Founded Year: 2011
Augury's machine health AI predicts machine failures in and prescribes exactly when and how to correct them. Wireless sensors connect rotating equipment across industrial facilities and securely transmit mechanical data to the cloud. The data is then analyzed by proprietary cloud-based AI and prescriptive insights are delivered directly to maintenance/reliability personnel and manufacturing operations in real-time. Machine health insights are also contextualized with operational data to provide system-level insights across the manufacturing organization.
United States / Founded Year: 2014
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.
Highfliers are the most innovative service providers in the market and possess the resources to address evolving customer needs.
See why these companies made it as highfliers for Predictive Maintenance & Analytics. These companies include Senseye and Samotics.
United Kingdom / Founded Year: 2014
Senseye provides an automated condition monitoring diagnostics and prognostics product, a cloud-based software solution that enables industrial companies to predict the failure of machines months in advance. The solution allows manufacturers to reduce maintenance costs by automatically identifying machine failure through machine learning algorithms fed with data from the Industrial IoT.
Robert Russell, Simon Kampa, Simon Jesenko
Netherlands / Founded Year: 2015
Samotics, fka Semiotic Labs, provides a condition monitoring platform for maintenance teams with zero tolerance for unplanned downtime. It provides foresight into when and why equipment fails in real-time.
Northern Ireland Water, Thames Water Utilities, United Utilities, and 1 more
Simon Jagers, Gerben Gooijers, Maarten Keller
Outperformers are the most specialized service providers in the market and possess the expertise to address unique customer needs.
See why these companies made it as outperformers for Predictive Maintenance & Analytics. These companies include Veros Systems and Element Analytics.
United States
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.
James Dechman, Alexander Parlos
United States / Founded Year: 2015
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.
Andy Bane, Laurie Schrager
Challengers are the most promising service providers in the market and possess the agility to address emerging customer needs.
See why these companies made it as challengers for Predictive Maintenance & Analytics. These companies include Seebo.
Israel / Founded Year: 2012
Seebo develops process-based AI solutions, enabling manufacturers to predict & prevent losses in production yield and quality.On May 10th, 2022, Seebo was acquired by Augury at a valuation between $100M and $200M.
Liran Akavia, Lior Akavia, Dvori Basat, and 1 more
Companies in this market use AI and machine learning to streamline production processes, eliminate bottlenecks before they occur, monitor plant conditions, and prevent failures of physical assets like pipes, valves, and pumps. Many companies offer integration with equipment manufacturers and industrial data software firms.
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