Suppliers Canada Bit Stew Systems (GE Digital) (GE Digital (GE))
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Bit Stew Systems (GE Digital) (GE Digital (GE))

Canada
2005
Private
< $10m
11 - 50
Open website

Bit Stew Systems has built the premier platform for handling complex data integration, data analysis, and predictive automation for connected devices on the Industrial Internet. Bit Stew Systems is specialized in smart grid analytics, smart metering, expert systems, cloud computing, real-Time processing, Industrial Internet of Things (IIoT) and network operations. Bit Stew has approximately 100 employees and is headquartered in Canada with offices in the USA, Australia and Europe. Bit Stew serves customers in the oil & gas, power, aviation and manufacturing industries. Year founded: 2005 Acquired by GE Digital on 15 Nov 2016

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Through data-driven automation, Bit Stew removes the complexity of industrial operations and connected machines to give clarity and control back to operations. Bit Stew’s MIx Core™ is purpose-built to handle complex data integration and analysis across connected devices, OT and IT systems, and external sources. Unlike conventional ETL tools, MIx Core automates data integration by applying machine intelligence to the process, which can reduce project costs by an average of 90% compared to traditional approaches. Purpose-built for the Industrial Internet, Bit Stew’s MIx Core platform automates data ingestion to dramatically reduce the costs of big data projects and applies machine intelligence to learn patterns in the data to optimize the operational performance of industrial companies. The MIx Director Suite runs on the platform to form a seamlessly integrated set of complete solutions for network communications management, industrial control analysis, enterprise systems analysis and other critical functions necessary for the Industrial Internet

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BC Hydro, PG&E, SSE

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Hardware
Software
Software that ingests data and visualises it to generate insights to answer specific questions
Platforms that facilitate and allow application developments for specific use cases and/or client requirements.
Software that focus on securing devices, machines, and communications between them.
Services
Number of Case Studies2
Driving the Future of Smart Energy
Driving the Future of Smart Energy
In 2011, BC Hydro began an ambitious smart grid project that included replacing old electromechanical meters with nearly two million state-of-the-art smart meters. The company undertook its industry-leading smart grid rollout with the goals of improving energy efficiency and reliability in the region while reducing losses and more quickly identifying power outages. As BC Hydro began its smart meter roll-out, the leadership quickly recognized that without the right technology, it would face significant challenges integrating data from so many different sources throughout its operations.
Modernizing a Legacy Energy Grid
Modernizing a Legacy Energy Grid
For AusNet, this represented a tremendous challenge to replace 700,000 legacy meters across a diverse geographical environment creating additional network communications coverage complexity. The Victorian state government also required that the new meters would need to maintain high-performance levels for 15 years. To demonstrate compliance and smart grid uptime, AusNet would need to consistently produce accurate meter performance data on a daily basis for 20 market retailers. This required integrating and analyzing massive volumes of smart grid data in real-time.
Number of News Items3
Charli AI comes out of stealth mode, launches workflow automation product
BetaKit - 14 Nov, 2019
Referenced Companies: GE Digital Bit Stew Systems, GE Digital
All-Star Serial Entrepreneurs Launching AI-Powered Workflow Engine to Automate Everyday Tasks for Businesses
SPi News - 14 Nov, 2019
Referenced Companies: GE Digital Bit Stew Systems, GE Digital
U.S. software firm Aspen Technology buys Montreal startup Mnubo for $102-million
Globe News Wire - 12 Jul, 2019
Referenced Companies: mnubo, General Electric, Hitachi, Johnson Controls, Oracle
Keywords: Sensors
Number of Software2
MIx Core
MIx Core
MIx Core provides a comprehensive end-to-end approach to data integration – an approach that is purpose-built for the IIoT. The platform leverages methodology and algorithms applied in a highly structured manner to automate the data integration process.The massive influx of data on a daily basis prompts most companies to think the business problem they need to tackle is big data.
MIx Director Suite
MIx Director Suite
Bit Stew’s MIx Director Suite is designed to run on the MIx Core platform and provide functionality for managing connected devices on the Industrial Internet. These applications form a seamlessly integrated set of solutions for network communications.MIx Director Suite provides a single unified, real-time view of industrial operations and assets by visualizing, analyzing and optimizing industrial data, allows IT and OT professionals to deploy personal, timely and relevant insights.
Number of Similar Suppliers8
WIN-911
WIN-911
WIN-911 is the world’s largest Industrial Internet of Things (IIoT) company dedicated to adding mobility to automation systems used in public infrastructure, manufacturing, oil & gas, building management, and other industries. WIN-911 is used in over 10,000 facilities, in seventy countries.
DP Technology
DP Technology
DP TECHNOLOGY is a leading developer and supplier of computer-aided manufacturing (CAM) software for a full range of machine tool applications. ESPRIT, DP Technology's flagship product, is a powerful, high-performance, full-spectrum programming system for milling, turning, wire EDM, and multi-tasking machine tools. Year founded: 1982
Princeps
Princeps
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.
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