Onomondo Features

Encrypts or provides some form of firewall to prevent external parties from accessing sensitive data.

Offers pre-built integrations with other development software and/or IoT software.

Generates data related to application usage and performance.

Predict future data based on historical data sets

Analyze and gain insights into data in real-time

Interact with data visualization elements, such as charts and graphs, to drill down into data

Receive data and information in real time

Create, design and manage workflows for repetitive tasks

Critical link between devices, network, and reliable delivery of IoT data.

Maintenance and upkeep of physical and/or virtual devices

Identify component attributes like servers, hardware, software, and manage relationships across all services

Manage and store data in a database

Ability to handle large datasets

Automatically and/or manually identify internet-enabled devices in the specified manufacturing areas.

Connect disparate systems to form a unified intelligent manufacturing architecture.

Allows for remote control and modification of individual devices or systems.

Design intelligent workflows for specified devices, such as automated adjustments and event triggers.

Integrates with existing IoT hardware.

Has a centralized dashboard for users to interact with.

Allows for remote execution of device actions and events.

Has a centralized dashboard for users to interact with.

Provides accurate details about active IoT-related data plans.

Provides real-time status of connections across IoT architecture.

Monitor and modify SIM cards in embedded devices.

Provides notifications about data plan subscriptions.

Pay, update, and optimize network data plans.

Track the volume of data being used across IoT networks and devices.

Track the available bandwidth for individual device data or networks as a whole.

Measure the ongoing and expected costs of active IoT systems.

Observe the general health and status of connected devices.

Receive timely notifications about system issues or abnormalities.

Predefined actions automatically performed on the occurance of specific events

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Observe and track the demand, usage, progress or quality of a system, product, or user

Track and document all activities across devices, networks, and other systems

Notifications that are delivered to users as soon as an event occurs

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Application programming interface that allows for integration with other systems/databases

A chronological record of actions or occurrences within a network, software, or process

Import and export data to and from software applications

Monitor the usage of assets, such as equipment, tools, software, etc., throughout their lifecycle

Create, manage and access prototypes to capture design concepts and test on users

Assemble applications and processes by dragging over and arranging pre-built components

Use AI to generate content in the form of text, images, videos, etc.

Active monitoring of systems, applications, or networks

Define levels of authorization for access to specific files or systems

Connect to big data sources

Securely stores data to prevent data loss or breaches

Graphical representation of data

Conceptual model of how data items relate to each other

Set & manage permission levels based on user roles and restrict access to only authorized individuals