The IoTRoutes AI Layer is deeply integrated into the platform and can be used across multiple operational and business scenarios.
AI capabilities are not limited to a standalone chatbot.
They can be embedded into:
AI Capabilities define how the IoTRoutes AI behaves when executing a task.
The AI Service Providers section allows administrators to configure and manage the AI engines used by IoTRoutes.
A Service Provider represents an AI Agent capable of executing one or more AI capabilities inside the platform.
IoTRoutes supports both:
The IoTRoutes AI Layer is a configurable and extensible artificial intelligence framework integrated into the IoTRoutes platform.
It enables organizations to add AI-powered capabilities to operational workflows, device management, message processing, analytics, and user assistance.
The Data Queries extension allows users to create reusable dynamic queries that can be used across the platform.
The feature is accessible from the left navigation menu under:
Application extensions → Data queries
Data queries are mainly used for:
The Reports editor extension allows users to create customizable reports using a visual drag & drop designer.
Reports can display data coming from platform datasets and dynamic queries, and can be exported or generated for operational and analytical purposes.
The feature is accessible from the left navigation menu under:
The IoTRoutes Workflow Engine is the core automation framework that executes business and data-processing logic inside the platform.
Workflows define how incoming IoT messages, outgoing commands, or background maintenance tasks are processed, transformed, or triggered.
In IoTRoutes, every IoT communication — whether device → platform or platform → device — follows a structured transformation pipeline.
The File Bucket module in IoTRoutes acts as a centralized file repository used by workflows, APIs, and users.
It provides secure storage for templates, generated reports, and uploaded media such as device images, firmware packages, or CSV exports.
Attribute Interpreters are the functional bridge between raw IoT data and understandable business information.
When an inbound workflow receives a message, its attribute values are normalized into the Platform Message Structure (PMS).