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What is Datonis?

Introducing a cutting-edge digital manufacturing platform powered by the Internet of Things, Datonis provides out-of-the-box applications that streamline the processes of monitoring, measurement, analysis, and outcome forecasting by leveraging artificial intelligence capabilities. This platform embraces a comprehensive methodology to unify IT and operational technology systems, thus allowing for the monetization of specialized knowledge through the creation of innovative applications and services. It features inter-plant process benchmarking and predictive quality assurance models, complemented by real-time compliance monitoring for quality audits. The system sends alerts related to process compliance, trends in Cpk, and tracks instances of quality rejections and scrap, while also establishing connections between various processes and defects. Furthermore, the platform alerts users to violations of checklist schedules, performs trend analyses on checklist data, and offers a versatile framework for generating various types of checklists. Users can receive notifications for checklists, document observations via mobile devices, and review images and videos prior to making decisions about checklist items. An interactive application is also available for operators, allowing them to interact with the platform and monitor progress in real-time, while the operator workbench empowers them to provide feedback, raise alarms, seek assistance, and access necessary engineering documentation. This thorough integration not only boosts operational efficiency but also cultivates a culture of ongoing improvement within manufacturing processes, encouraging a proactive approach to quality management. Ultimately, Datonis stands as a transformative force in digital manufacturing, driving innovation and enhancing productivity across industries.

What is C2M?

C2M® significantly boosts the automation of complex business processes by merging Digital Transformation with the Internet of Things (IoT), all while maintaining a level of flexibility and adaptability necessary for change. Its three-tiered architecture ensures real-time connectivity to diverse data sources, provides comprehensive big data analysis through user-friendly dashboards, and facilitates genuine process automation via event management and customized workflows. The Workflow component of C2M® offers a comprehensive solution that rejuvenates outdated procedures into agile, web-based, and streamlined systems. Furthermore, C2M® features a drag-and-drop interface for workflow automation that adapts to changing business demands, making it possible to achieve crucial process automation without incurring the excessive costs that often come with updating existing IT systems. Users can easily design intricate operations and seamlessly incorporate workflows into both new and established applications, thereby significantly boosting efficiency and productivity. This forward-thinking strategy not only enhances operational performance but also equips organizations to excel in an ever-evolving business environment. By leveraging such innovative technologies, businesses can ensure they remain competitive and responsive to market dynamics.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Altizon Systems

Company Location

India

Company Website

www.altizon.com

Company Facts

Organization Name

C2M

Company Location

United States

Company Website

www.c2m.net

Categories and Features

Big Data

Predictive Analytics

Industrial IoT

Not specified

IoT Analytics

Not specified

Categories and Features

IoT Analytics

Not specified

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