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Description
Fundamentum is an adaptable IoT Platform as a Service (PaaS) that enables the remote control, updating, and monitoring of connected devices, offering a versatile base for IoT deployments. Comprising a suite of microservices, the platform features modular components that can be tailored and combined to meet the specific needs of various IoT projects, accommodating an infinite number of connected devices. It integrates essential elements such as IoT Edge, Connect, IoT Core, an ML/AI Engine, Insights, and DevSecOps, facilitating smooth device connectivity and management alongside advanced data analytics, secure communication, and comprehensive reporting. The platform's device management features encompass provisioning, security measures, firmware upgrades, and remote control capabilities, while user management includes adjustable roles, permissions, OAuth 2.0, and OpenID Connect for enhanced security. Furthermore, it streamlines data storage via a reliable architecture, seamless analytics integrations, and accessible APIs, with Insights offering robust support for dashboards, detailed reporting, and real-time data processing, ensuring users have the tools they need to make informed decisions. Ultimately, Fundamentum stands as a comprehensive solution for organizations looking to harness the power of IoT in an efficient and secure manner.
Description
A managed service facilitates two-way communication between IoT devices and Azure, ensuring secure and dependable interaction between your IoT application and its managed devices. With Azure IoT Hub, you have access to a cloud-based backend that can connect almost any device seamlessly. Moreover, you can enhance your solution from the cloud to edge devices through features like per-device authentication, integrated device management, and scalable provisioning options. By utilizing telemetry data from devices to the cloud, you can gain insights into device status and establish message pathways to other Azure services effortlessly, without the need for coding. For cloud-to-device messages, you can reliably send commands and alerts to your connected devices while monitoring message delivery via acknowledgment receipts. The system also allows for automatic resending of messages to address any connectivity issues that may arise. Azure IoT Central goes beyond just proof of concept; it empowers you to create top-tier solutions using a comprehensive hosted IoT application platform, thus fostering innovation in your projects. This combination of features positions Azure as a leading choice for IoT communication solutions.
API Access
Has API
API Access
Has API
Integrations
AWS IoT
Azure IoT Edge
Azure Marketplace
Bitbucket
Bright Wolf Industrial IoT Platform
Cogent DataHub
Docker
EasyTerritory
Equinix Smart View
FairCom DB
Integrations
AWS IoT
Azure IoT Edge
Azure Marketplace
Bitbucket
Bright Wolf Industrial IoT Platform
Cogent DataHub
Docker
EasyTerritory
Equinix Smart View
FairCom DB
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$10 per IoT unit per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Vectanor
Founded
2006
Country
Canada
Website
amotus.com/solutions/fundamentum-iot-platform-paas/
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/iot-hub/
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization