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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

The Internet of Things (IoT) encompasses billions of physical devices globally that are interconnected and actively gathering and sharing data. By leveraging IoT data alongside IBM Cloud® technologies, organizations can derive meaningful insights that enhance nearly every facet of their operations while also paving the way for innovative business models. Begin by linking your device to an IBM Cloud recipe, utilizing open and lightweight protocols like MQTT or HTTP for connectivity. Efficient management of connected devices allows applications to access both real-time and historical data. Secure APIs facilitate the integration of your applications with the data generated by these devices, enabling seamless interaction. You can develop analytical applications either within the IBM Cloud, on another cloud platform, or on your own servers. The IBM Watson IoT® Platform provides a straightforward method to connect, gather, and process IoT data quickly. Additionally, you can leverage the analytics service for effective visualization and AI-enhanced analytics in the cloud, leading to informed decision-making and operational efficiency. This integration ultimately transforms the way businesses operate and create value in the digital landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS IoT
Bitbucket
Docker
GitHub
GitLab
Grafana Cloud
Helm
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT Platform
Kubernetes

Integrations

AWS IoT
Bitbucket
Docker
GitHub
GitLab
Grafana Cloud
Helm
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT Platform
Kubernetes

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/internet-of-things

Product Features

IoT

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

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

IoT

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

Alternatives

No Alternatives

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