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.

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)

Samsara builds sensor systems that combine wireless sensors with remote networking and cloud-based analytics - all in an easy-to-use, software-centric solution. Samsara believes that by making sensors simple to deploy and their data easy to consume, customers will be able to deploy them by the thousands, and in places they've never been used before.

The strength and foundation of Elmodis rest on the professionals of various fields of expertise, who have been building the company based on an innovative idea of its founders, since 2015. Engineers Artur Hanc and Marcin Święch in their several-years-long careers have developed various types of solutions for industry in the field of machine diagnostics and monitoring. The technology which they have created together, bearing in mind the large market of electrically-driven industrial machines, has become successful and gave rise to Elmodis company.

AutoGrid Systems analyzes the exponentially expanding wave of data being generated by Smart Meters, building management systems, voltage regulators, thermostats and other equipment so utilities and end-users can obtain precise insight into where power is going and enact automated, responsive controls.

By collecting and analysing data from refuse Containers across the world, Enevo is able to create efficiencies and cut the cost of waste collection and incentivise recycling. Enevo simplifies, de-risks and optimises the waste management process, helping to make a sustainable waste-free environment a more achievable proposition.

A huge industry shift towards hybrid cloud environments is creating significant security and performance issues for CIOs & CISOs. Achieving LAN-like security and real-time performance for applications that span private and Public Clouds requires a new, grounds-up architecture. Kaazing, creator of the widely-adopted WebSocket standard, offers a range of enterprise infrastructure products with unmatched security, performance and real-time capabilities, to seamlessly enable next generation private and hybrid cloud deployments for financial, logistics and retail applications. Kaazing products span open-source, commercial software gateways and IaaS products on AWS, Azure and Rackspace cloud marketplaces. WebSocket demand has been increasing exponentially during the last 2 years, which is fueling increased bookings, billings and pipeline momentum for Kaazing, with an estimated $500M addressable market by 2018.

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.

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

Elmodis system enables machine manufacturers to reduce the costs of guarantee repairs and improve their products. End users, on the other hand, have access to significant information regarding the machine operation and possible occurrence of any failures. This enables prevention of unscheduled outages, reduction of machine operating costs and, consequently, increases the availability of the entire machine stock.

Enevo provides the first predictive end-to-end solution that automates the whole planning and operations of waste and recycling logistics. Its Enevo ONe solution combines IOT technology and real-time data and analytics, including trend data from fill-level sensors in waste Containers, for optimized planning and routing of collection services. A key component is a self-learning routing engine that adapts to day-to-day changes in demand and enables service providers to cut costs and improve customer service and satisfaction.

Hosokawa Micron Diageo Arneg

Martech Plus, Eplan, Damel,Owent, Ponar

E.ON, Oklahoma Gas & Electric, Austin Energy and the City of Palo Alto Utilities

BP, Teias PMUM, Tibco, Informatica, ITRS, Oracle, Intel, Cisco, Deloitte, Ericsson, Google, Qualcomm, Siemens, Mathworks, KRONOS, SapientNitro, McAfee, Bechtel, Roy Morgan Research