Altizon Systems
Industrial IoT Platform for Digital Transformation
Overview
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HQ Location
United States
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Year Founded
2013
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Company Type
Private
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Revenue
< $10m
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Employees
51 - 200
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Website
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Twitter Handle
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Company Description
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.
IoT Solutions
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
Key Customers
Spectra Symbol Corp., Varroc Group
IoT Snapshot
Altizon Systems is a provider of Industrial IoT infrastructure as a service (iaas), platform as a service (paas), application infrastructure and middleware, analytics and modeling, functional applications, networks and connectivity, sensors, and automation and control technologies, and also active in the automotive, chemicals, consumer goods, electrical grids, oil and gas, packaging, and utilities industries.
Technologies
Analytics & Modeling
Edge Analytics
Big Data Analytics
Machine Learning
Predictive Analytics
Process Analytics
Real Time Analytics
Automation & Control
Distributed Control Systems
Human Machine Interface (HMI)
Programmable Logic Controllers (PLC)
Supervisory Control & Data Acquisition (SCADA)
Use Cases
Functional Areas
Industries
Technology Stack
Altizon Systems’s Technology Stack maps Altizon Systems’s participation in the infrastructure as a service (iaas), platform as a service (paas), application infrastructure and middleware, analytics and modeling, functional applications, networks and connectivity, sensors, and automation and control IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
IoT Solutions for Smart City | Internet of Things Case Study
There were several challenges faced: It is challenging to build an appliance that can withstand a wide range of voltage fluctuations from as low at 90v to as high as 320v. Since the device would be installed in remote locations, its resilience was of paramount importance. The device would have to deal with poor network coverage and have the ability to store and re-transmit data if networks were not available, which is often the case in rural India. The device could store up to 30 days of data.
Case Study
IoT Data Analytics Case Study - Packaging Films Manufacturer
The company manufactures packaging films on made to order or configure to order basis. Every order has a different set of requirements from the product characteristics perspective and hence requires machine’s settings to be adjusted accordingly. If the film quality does not meet the required standards, the degraded quality impacts customer delivery causes customer dissatisfaction and results in lower margins. The biggest challenge was to identify the real root cause and devise a remedy for that.
Case Study
Automotive Component Manufacturer Improves with Datonis IoT Solution
As a part of their Industry 4.0 initiative, the customer primarily wished to leverage IoT for maximizing operational efficiencies, productivity, reducing the energy footprints and maximizing capacity utilization. But there were several challenges at the outset:Firstly, the customer had multiple assembly lines with a diverse set of machines, systems and sensors, all communicating on different protocols. As such, primarily they needed a partner who could connect diverse set of assets on to a single platform and make use of underutilized ‘dark’ data.Secondly, the amount of data, data types and their applications was so vast, that the platform handling it, needed to be scalable and flexible.Lastly, Varroc faced the typical challenge of innovating in ‘Brownfield’ markets – wherein the real bottleneck is in integrating IoT in tandem with both the new and legacy equipment without any further CAPEX for asset substitution.
Case Study
IoT based Energy Quality Availability Monitoring Solution
There were several challenges faced:Since this data would be in the public domain, accuracy and authenticity of this data were of paramount importance. It should be able to withstand scrutiny.It is challenging to build an appliance that can withstand a wide range of voltage fluctuations from as low at 90v to as high as 320v. Since the device would be installed in remote locations, its resilience was of paramount importance.The device would have to deal with poor network coverage and have the ability to store and re-transmit data if networks were not available, which is often the case in rural India. The device could store up to 30 days of data.The platform that deals with the data should be readily available and highly reliable and never lose a packet of data.
Case Study
FMCG Case Study – CPG Line Monitoring
The leading CPG company operates several warehouses, mostly closer to the last distribution point (Large retailers). Products in various categories are packaged in specific delivery or display cartons at these facilities. As most CPG businesses consist of high volume with low margins, optimizing every operation and effective utilization of resources add up to profit margins. The key problem at these warehouses is the lack of visibility into reasons for machine breakdowns or idle time, thereby delay in delivery. The sunrise meetings lead to post-mortem of delivery issues like delay or quality. The customer wanted to implement real-time line monitoring and alert system to gain control over downtime issues and implement improvement measures.
Case Study
IoT Enabled Remote Asset Monitoring and Predictive Maintenance
A stripper well or marginal well is an oil or gas well that is nearing the end of its economically useful life. In the U.S., oil wells are generally classified as stripper wells when they produce 10 to 15 barrels per day or less for any 12-month period. These wells account for approximately 18% of the U.S. production. The key ask was to design a solution that would connect these wells often located in remote locations and collect information about their performance and operating conditions.
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Partners.
Supplier
Microsoft
Microsoft develops, manufactures, licenses, supports and sells computer software, consumer electronics and personal computers and services. Its best known software products are the Microsoft Windows line of operating systems, Microsoft Office office suite, and Internet Explorer and Edge web browsers.Year Founded: 1975Revenue: $93.6 billion (2014)NASDAQ: MSFT
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Deloitte LLP
Deloitte drives progress. Deloitte around the world helps clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Deloitte has more than 220,000 professionals at member firms delivering services in audit, tax, consulting, financial advisory, risk management, and related services in more than 150 countries and territories. Year Founded : 1845
