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What is Maana Knowledge Platform?

Enhance your Knowledge Layer using an intuitive visual interface that streamlines interaction with the knowledge graph. Users can not only create and query this graph but also enrich domain concepts with pertinent information. By activating bots, the knowledge graph can be augmented with dynamic connections, providing a more integrated experience. The platform facilitates the creation and composition of services through functional composition features, enabling users to effortlessly add and manage services within the knowledge graph. It supports both interactive and scripted access to crucial system actions, thereby increasing operational efficiency. Furthermore, the system includes capabilities for schema management, data loading, querying, and administrative functions. Developers have the ability to extend the command line interface with custom plug-ins, offering the flexibility to introduce new features. Knowledge applications, tailored use cases developed by clients on the Maana platform, deliver AI-driven insights that assist in making informed operational decisions. Each knowledge application comprises decision models that are capable of executing real-time calculations suited to user requirements. A key aspect of this system is that customers cannot access knowledge applications made by others, which guarantees the privacy and individuality of their implementations. This method cultivates a focused environment where clients can innovate, personalize, and refine their knowledge solutions, ultimately leading to unique and effective outcomes. This unique approach empowers users to not only utilize existing resources but also to build upon them, creating a collaborative ecosystem of knowledge development.

What is AWS IoT TwinMaker?

Utilize your existing IoT, video, and enterprise application data directly from its original source, thus avoiding the complications of data reingestion or transfer. Boost your productivity through an automatically generated knowledge graph that connects your data sources with virtual representations of physical systems, facilitating accurate simulations of real-world environments. Enjoy an engaging 3D visualization of your operations and systems, which enables you to improve efficiency, increase production, and enhance overall performance. With AWS IoT TwinMaker, developers can easily create digital twins for real-world systems such as buildings, factories, industrial equipment, and production workflows. This robust toolset equips you to optimize building management, enhance production capacity, and improve equipment performance. Furthermore, by leveraging existing data from multiple sources, you can construct virtual models of any physical environment while marrying contemporary 3D designs with real-time data for deeper insights and improved operational efficiency. The integration of these technologies not only streamlines processes but also fosters innovation in how businesses manage their physical assets.

Media

Media

Integrations Supported

Amazon Web Services (AWS)

Integrations Supported

Amazon Web Services (AWS)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1.50 per million calls
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Maana

Date Founded

2012

Company Location

United States

Company Website

www.maana.io/knowledge-platform/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/iot-twinmaker/

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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