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Ratings and Reviews 0 Ratings
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innosabiInnosabi specializes in creating software designed for agile innovation, enhancing the efficiency and pace of innovation strategies within large corporations. Our solutions facilitate the seamless incorporation of a wide-ranging ecosystem into the conception and execution of innovative products, services, and business models, engaging everyone from customers and employees to suppliers and partners. Notably, industry giants such as Daimler, Bayer, Postbank, and Allianz have adopted our software, showcasing its effectiveness in driving transformative change. Additionally, our tools empower organizations to harness diverse insights, further propelling their innovation endeavors.
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LambdaTestLambdaTest is a cloud-based platform that facilitates cross-browser testing for enterprises, allowing them to execute web automation tests at scale through parallel coding functionality. **Selenium Automation Grid & Cypress CLI on LambdaTest** With LambdaTest, you have the capability to run tests across over 2,000 different browsers, devices, and operating systems, significantly enhancing browser coverage. This cloud-based Selenium Grid accelerates the execution of Selenium tests while ensuring a secure, scalable, and dependable environment. Additionally, the Cypress CLI offered by LambdaTest broadens your Cypress test coverage to more than 40 browser versions on both Windows and macOS. Beyond automation testing, LambdaTest also supports manual testing, visual interface testing, and real-time testing options. **LT Browser – Responsive Web Testing** The LT Browser by LambdaTest is an innovative tool designed for developers, enabling them to evaluate the responsiveness and usability of their websites effectively. Conducting mobile testing becomes more straightforward with the ability to perform responsive tests across over 50 resolutions, and users can create an unlimited number of custom devices tailored to their needs. This makes LambdaTest an invaluable resource for thorough web application testing across multiple environments.
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PylonPylon serves as a comprehensive support platform tailored for contemporary B2B enterprises. We equip post-sales teams with essential tools such as ticketing software, an omnichannel approach for B2B communications (including Slack Connect and Microsoft Teams), an interactive chat widget, a robust knowledge base, an AI-powered support bot, along with customer marketing and account management solutions. Our platform is designed specifically to address the unique needs of B2B businesses, enabling you to assist customers on their preferred channels while facilitating various support tiers. Our AI feature can generate support articles derived from previous issue resolutions, while our Triggers help formalize workflows and business processes. Additionally, with Macros, you can efficiently handle frequent inquiries. Engagement tracking allows for the dissemination of updates, newsletters, and new feature announcements to your clients. All customer information is meticulously organized and accessible in one centralized location, providing stakeholders with a comprehensive view of their team's ongoing concerns. If you're considering utilizing Slack for customer support, we would love to connect, as our users typically manage over 180 customer channels. The integration of these tools not only enhances communication but also streamlines the support process, leading to higher customer satisfaction and improved operational efficiency.
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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 Azure Digital Twins?
Azure Digital Twins serves as an IoT platform enabling the creation of digital replicas of physical entities, spaces, processes, and people. This innovative platform yields critical insights that can significantly improve product development, optimize operational efficiency, lower costs, and enhance customer satisfaction. It provides an intuitive framework for crafting digital representations of interconnected settings using a flexible modeling language. Users can model a wide variety of entities, including buildings, manufacturing plants, agricultural fields, energy systems, transportation networks, sports facilities, and even entire cities. These digital twins come alive in a dynamic execution environment that monitors changes over time. By utilizing powerful query APIs, users can glean actionable insights into the behaviors of their modeled environments and easily integrate with Azure's data analytics services. The open modeling language allows for the creation of customized domain models tailored to any connected setting through the Digital Twins Definition Language, ensuring adaptability across various applications. Thus, Azure Digital Twins not only supports business innovation but also enables organizations to adjust effectively in an ever-evolving digital landscape, making it an invaluable tool for modern enterprises.
Integrations Supported
Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft Azure
Integrations Supported
Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft Azure
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
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
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/services/digital-twins
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
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization