akenza Features

Observe the general health and status of connected devices.

Receive timely notifications about system issues or abnormalities.

Collect data related to device processes and conditions.

Automatically discovers available devices in the local network.

Recognizes a variety of sensor and device types.

Has a centralized dashboard of connected devices for users to interact with.

Modify device or sensor settings from anywhere.

Allows for remote execution of device actions and events.

Assess individual device issues and repair over the cloud if possible.

Send bulk updates and upgrades directly to devices.

Offers simple, intuitive interface for designing IoT applications with little or no coding.

Allows for designing and deploying of connected system workflows.

Provides in-app testing capabilities for IoT projects.

Supports a variety of connected objects and sensor types.

Releases the live application for its intended use.

Lets users add data from existing sources when creating the initial application or changing data sources.

Continuously updates data as users or external data sources are edited.

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.

Provides ability to manage application and maintenance from build, throughout the release, and until its deactivation.

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

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