|Supplier Slogan||Focus Your Data. Elevate Your Insight ||Measure Every.thing||DRIVING DIGITAL TRANSFORMATION||Proactive, Resilient Industrial Operations||Industrial IoT Platform for Digital Transformation||Accelerating manufacturing towards the next industrial revolution||In the business of Industrial Digitalization|
|HQ Location||Australia||European Union||United States||India||United States||United States||France||India||Singapore|
|Revenue||< $10m||< $10m||< $10m||< $10m||< $10m||< $10m||$10-100m||< $10m||< $10m|
|Employees||11 - 50||< 10||51 - 200||11 - 50||11 - 50||11 - 50||11 - 50||11 - 50||11 - 50|
|Website|| Open website|| Open website|| Open website|| Open website|| Open website|| Open website|| Open website|| Open website|| Open website|
|Youtube Video ID|
Eagle.io is an environmental IoT platform for ingestion, storage, analysis, editing and visualisation of time series sensor data.
We believe that to manage natural assets in our developed world it is critical to monitor and understand them in near real time.
To achieve this, we have developed software that makes continuous environmental monitoring simple and accessible to every government department responsible for natural asset management and every business with an environmental licence.
The software works with industry standard environmental loggers, has tools to manage data quality, methods of sharing bundles of assets, alarms and notifications to trigger active management of environmental assets.
Trusted by companies and departments CSIRO, Qld Department of Natural Resources, Mines and Energy and Department of Environment and Science, AECOM, WBM BMT, Ecotech, Xylem, Geosyntec, Specto Technology.
To register for a 30-day trial and personalised walkthrough of the system, visit https://eagle.io or email: firstname.lastname@example.org
DasData brings together environment sensors, enabling worldwide enterprises and organizations to securely store data and take immediate action in case of an emergency. DasData builds typical "internet of things" platforms for smart cities and sustainable environments, delivering solutions to monitor air and water quality, and manage waste in an efficient, dynamic matter. DasData is the IoT platform that allows you to instantly connect all your sensors live data into the cloud and safely store it or share it with the world.
Litmus transforms the way companies enable Industrial IoT, Industry 4.0 and Digital Transformation with one goal in mind - unmatched time-to-value. Our modern edge platform for industry provides instant data connectivity, ready-to-use analytics, and the ability to orchestrate applications at scale. Litmus liberates the data locked in any industrial system to transform critical edge data into actionable intelligence that can power Predictive Maintenance, Machine Learning, and AI. Customers include 10+ Fortune 500 manufacturing companies, while partners like Siemens, HPE, Intel and SNC Lavalin expand the Company’s path to market. For more information visit www.litmus.io.
Indicus has developed a high performance AI x IoT development and execution Platform “CONTINEO” & several ready to use I4.0 and S5.0 solutions. One can configure model-driven, multi-tenant, ML enabled secured enterprise applications using the Designer Studio and realize unprecedented efficiencies. The platform has been deployed in several systems from marathon Tracking, car sharing, student safety SaaS to IIoT applications for smart factories.
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.
Altizon empowers Industrial Digital Revolutions globally by helping enterprises use Machine Data to drive business decisions. With a global footprint of over 100 enterprise users, Altizon is a leading Industrial IoT platform provider as recognized by Gartner, Forrester, BCG, Frost & Sullivan, and others.
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.
Industrial data analytics and decision science by comprehensive monitoring and management of an industrial shop floor.
Autosys Industrial Solutions Pvt. Ltd. was incorporated on February 17th, 2016. A company with expertise on industrial automation and industrial data management.
Our solution improves the efficiency, productivity and overall equipment effecitveness while minimizing the cost and environmental impact. Our technologies are used by clients in plants and facilities around the world, giving them a competitive edge by accelerating their processes, improving accuracy, saving time, cutting waste and boosting their safety and sustainability performance
Discovering an industrial revolution with endless possibilities.
We, a team of datapreneurs, set out on a journey with our customers to pursue excellence through data. We "Digitalize" (IIoT & Analytics) end to end business and manufacturing operations. Our customers are Fortune 500 industrial majors.
Eagle.io is a platform connecting monitoring assets, engineers and decision makers. Acquire data in real-time from any logger or text file, receive alerts for critical events, and share access with stakeholders. Transform clients' time-series data into graphics and actionable information.
Litmus Edge is a modern edge platform that collects data from any industrial asset, offers pre-built applications, KPIs and analytics, provides the ability to build and run custom applications, and integrates data with any cloud or enterprise system. Litmus Edge is an all-in-one platform that is easy-to-use and deploy, offering the data intelligence needed to improve industrial operations at scale and power industrial use cases ranging from Predictive Maintenance to Machine Learning. For more information visit https://litmus.io/litmus-edge/.
Litmus Edge Manager provides a single point of control to manage and aggregate data from any number of edge devices, providing users with a complete picture of edge devices, applications and deployments. Litmus Edge Manager allows users to create, orchestrate, manage and update any containerized application from the cloud or data center level to Litmus Edge. Manage the device lifecycle with flexible application options leading to enterprise-level visibility for intelligence from the edge. For more information visit https://litmus.io/litmus-edge-manager/.
Application Enablement Platform as a Service
- Remo: Remote monitoring application template
- SmartEye: Video Analytics Platform for RPA using Computer Vision
- Forms360: Configurable Forms designer and approval workflows with audit trail and Digital Signature for digitalization
- Asset Maintenance Suite
- 5S Audit
- Vibration Analytics
- Enterprise Application Integration (EAI)
- Car Sharing
- Fleet Management
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.
The Datonis platform can be used by manufacturers to build connected equipment which will constantly feed operational data to the cloud-based platform for aggregation and analysis. Many OEMs are using solutions from Altizon to improve operational efficiencies, remote monitoring as well as Predictive Maintenance. IoT Platform, Manufacturing intelligence, Edge, Digital Transformation
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
Introducing Quad Industrial IoT Solution. A simple plug and play tool, cross compatible with any industrial machinery regardless of how old it is. With the help of Internet of Things (IOT) a suite of sensors can be plugged into the physical system that can continuously communicate data in realtime of various ongoings to the remote cloud server, and the digital twin can be programmed to behave conditionally. This gives a realisation of the actual shop floor on a virtual desktop.
dDriven creates digitals twins of plants, machines, business functions and business events by integrating data from IoT sensors, Automation systems, MES systems and ERP systems. The twins are augmented with deep analytics that allows insights and foresight into machines, plants and into every aspect of business functions. dDriven makes IoT and analytics work for business.
CSIRO, Qld Department of Natural Resources, Mines and Energy and Department of Environment and Science, AECOM, WBM BMT, Ecotech, Xylem, Geosyntec, Pentair, Specto Technology.
Saint Gobain Sekurit, Niagara Bottling
Hagiwara Electric, Inspirisys
Other names cannot be disclosed for confidentiality reasons
Spectra Symbol Corp., Varroc Group
Bayernoil, BP, Total, Saudi Aramco
Victora Group, Technico Industries, CK Birla - NBC
Singapore Refining Company, Rolls Royce (Singapore), Evonik (Singapore), Hanwha-Total Chemicals (Korea), LG CHEM (Korea), Essar Oil (UK), Idemitsu Kosan (Japan), NorthStar Solar (India), etc.
|Technologies||Analytics & ModelingPlatform as a Service (PaaS)||Analytics & Modeling||Analytics & ModelingPlatform as a Service (PaaS)Processors & Edge Intelligence||Platform as a Service (PaaS)||Analytics & Modeling||Analytics & ModelingPlatform as a Service (PaaS)||Analytics & Modeling|
|Industries||AgricultureOil & GasUtilities||Equipment & MachineryFood & Beverage||ChemicalsElectrical GridsOil & GasRenewable Energy||AutomotiveChemicalsConsumer Goods||Oil & Gas|
|Use Cases||Outdoor Environmental Monitoring||Edge Computing & Edge IntelligenceMachine Condition MonitoringPredictive Maintenance||Process Control & Optimization||Remote Asset Management||Process Control & Optimization|
|Functions||Discrete ManufacturingMaintenanceProcess ManufacturingQuality Assurance||Discrete ManufacturingProcess Manufacturing|
|Infrastructure as a Service (IaaS)||None||None||None||None||None||None||None||None||None|
|Platform as a Service (PaaS)||Moderate||None||Moderate||Strong||None||Strong||None||None||None|
|Application Infrastructure & Middleware||None||None||None||None||None||None||None||None||None|
|Analytics & Modeling||Minor||Minor||Moderate||None||Moderate||Moderate||None||None||Minor|
|Cybersecurity & Privacy||None||None||None||None||None||None||None||None||None|
|Networks & Connectivity||None||None||None||None||None||None||None||None||None|
|Processors & Edge Intelligence||None||None||Minor||None||None||None||None||None||None|
|Automation & Control||None||None||None||None||None||None||None||None||None|
|Partners||IntelHewlett Packard Enterprise (HPE)Amazon Web ServicesGoogleMicrosoft AzureOden TechnologiesHitachi VantaraSiemens||IntelInfinite Uptime||MicrosoftWipro|