The Thing + Embedded Works offers a number of different sensors and Actuators so that the device can connect to the Internet. In collaboration with various partners HW enables customers to configure a set of desired unit.

Near-Miss Management LLC provides a uniquely effective, enterprise risk detection and advanced warning platform for the process and energy industries. Our approach is based on identifying near-misses, hidden in volumes of process data recorded in plants. Patented analytics rip through millions of data points to identify developing problems at very early stages and allow operating teams to avert unexpected failures through timely corrective actions. Described as 'disruptive innovation’ by customers, our methods are enabling proactive management to increase both safety and profitability. Our technology has been developed through years of research in solving common challenges faced by industrial facilities – providing us a unique expertise in risk management, near-miss management and big data analytics technology.

PRINCEPS is an R&D intensive company. We have conducted a significant R&D effort in cooperation with academic organisations in Europe (PRINCEPS is the initiator and coordinator of several EU funded projects). Strong with more than 15 years field experience through planning and scheduling projects worldwide, we have developed an innovative software suite which introduces a new paradigm in this domain. Most importantly, PRINCEPS has developed over the years, a strong working partnership with its clients, which is at the foundation of its customer oriented culture. The Oil industry is one of the pioneers in the widespread adoption of optimization techniques. The term “Refinery optimization” has consequently evolved to become a multi-faceted concept. At an abstract level, refinery optimization is about getting the most from the existing assets; by extension, it can also refer to the most profitable investments in new equipment or new assets. This first distinction gives rise to 2 horizons of application to refinery optimization: long term, structural optimization, and short term operations optimization. Moreover, operations management itself can be addressed in a variety of ways, depending on whether the approach taken to refinery optimization is bottom-up, or top-down: The top-down approach is based on hierarchical optimization: the refinery optimization problem is addressed as a succession of optimization problems of different time magnitudes and granularities. The first problem is a mid-term planning problem and is concerned with the refinery as a whole and a time frame of one to several months. Subsequently, the time frame is subdivided into finer time intervals. At the lowest level, the theoretical goal is to achieve operations scheduling on a day to day basis. The bottom-up approach is one that starts with local problems and tries to aggregate them into a consistent solution at the refinery level. In contrast to traditional bottom-up approaches – which attempt to build an overall solution by aggregating local solutions – we start by achieving a feasible, “good quality” overall solution using our smart simulation engine. Then, guided by the consistent overall solution, we seek to optimize local operational challenges. Our innovative approach to refinery optimization takes account of 2 crucial facts: - Day-to-day operations are subject to uncertainty, - Regardless of the inherent formal difficulty of achieving an overall refinery schedule optimization, an overall optimized schedule is of little use. This is simply because an overall solution achieved that way is inherently unstable: the slightest change or unforeseen event means that the whole schedule must be rebuilt. And given the huge amount of inertia in such a large system, any sudden change of trajectory consumes an equally huge amount of energy. Under this pragmatic perspective, refinery optimization appears as the search for a maintainable globally feasible, locally optimized schedule. Optimization is applied to sub-systems where a high economic impact is achievable.

XpertRule is a global leader in Decision Automation solutions with a focus on the Industrial IoT. Our software combines Machine Learning with human expertise and deploys across the IoT ecosystem from the Edge, to Cloud and mobile device (for alerts and troubleshooting)

Herow is a contextual marketing platform for mobile applications.

With specialized sales and engineering teams for machine automation, process control, instrumentation, data communication and fluid power technologies, Cross has the technical expertise to solve industries'​ most challenging automation applications.

IntelliSense.io aims to be the PARTNER of choice for industrial infrastructure owners & operators, to deliver a step change in productivity and efficiency within their plants, processes & people. They create Internet of Things (IoT) Applications to improve productivity and efficiency in capital and asset-intensive industries. Year founded: 2013

Beijing Betaone Sysjob is a high-tech company mainly engaged in System Integration of Real-time Control and Data Storage and high speed data acquisiton. The company was founded in 1996 in Bejing.

Dynamic Risk Analyzer™ (DRA) has been proven to improve safety, reliability, and on-stream efficiency in industrial plant operations. It delivers actionable, early indicators of process issues – typically days and weeks before the alarms go off. What makes it unique is our distinctive, patented approach of identifying hidden near-misses™ in the process data. This enables the operating teams to avert problems just when they are beginning to form, to plan Predictive Maintenance, and to achieve ultimate safety and bottom line. Reduces Unexpected Shutdowns and Process Failures - DRA is designed to uncover hidden problems, so you can stay focused on finding solutions, not hunting for problems. Increases On-Stream Efficiency and Capacity Utilization - DRA provides peripheral vision on issues developing on the sidelines, enabling you to address new risks and their drivers. Improves Process Safety and Reliability - What makes DRA unique is its ability to rip through the entire spectrum of process data, uncovering problems, long before humans or alarms can.

PRINCEPS’ scheduling technology represents a technology leap through a variety of innovative features, such as: - The capability to dynamically modify events during simulation, making a schedule self-adjust its events to the simulation results - Schedules and models archiving and “versioning”, merge different branches from different users, or rolling back schedule changes as needed - Smooth and continuous transition between model versions within the same schedule

Decision Automation for Industrial IoT - including: Complex Decision Authoring Edge Decision Analytics Event Stream Processing Anomaly Detection Process Optimisation Open and Closed Loop Control

Herow is a one-stop contextual marketing platform that allows apps to maximize engagement with their users. It uses hyper-precise location technology and machine-learning algorithms to provide mobile applications with true user context - a combination of location, behavior, and surroundings.

Cross Company's Integrated Systems Group provides control system design, system integration, programming services and product fulfillment to industry and municipalities. We guide our clients in making sound decisions for factors that are relevant to their manufacturing system performance. We execute projects using proven methodologies to minimize project risk and provide value in the services we deliver.

Large industrial infrastructure such as mining sites, factories, power plants and oil & gas fields will need to adjust to a new world order of increasing operating cost and a variable commodity price, this will drive the need to make significant improvements in productivity and efficiency within a tightening capital budget. These industries produce tens of billions of sensor data points from their existing equipment, systems and processes. IntelliSense.io believes an enormous amount of productivity and efficiency improvements can be unlocked from this data by optimising the configuration of existing equipment and control systems enabled by our modern Data Science software, online simulation software and real-time wireless sensor networking knowledge, that generates data insights with minimum disruption to existing operations.

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Bayernoil, BP, Total, Saudi Aramco

Hosokawa Micron Diageo Arneg

Global Foundries, KazAtomProm