INFRASTRUCTURE OVERVIEW

The Backbone of Intelligent Automation

IntelliConnect is a high-availability communication stack designed to solve the complexity of modern hardware ecosystems. We provide the glue between low-power microcontrollers, high-compute NPUs, and autonomous robotics.

01. Connect

Ingest telemetry via MQTT, CoAP, or AMQP. Hardened by TLS 1.3 and mutual authentication (mTLS).

02. Orchestrate

Process data through a SQL-based Rule Engine. Filter, transform, and route events to AI models in real-time.

03. Act

Trigger physical hardware via MCP tools. Close the loop between intelligence and the physical world.

Multi-Protocol
Broker Engine

Standardize your data stream across any network type. Our broker supports industry-standard protocols out of the box, ensuring compatibility with legacy industrial sensors and modern AI accelerators.

MQTT v3.1.1 / v5.0
MQTT-SN (UDP)
CoAP & AMQP 1.0
WebSockets
STOMP Protocol
LWM2M Support
Protocol Routing Architecture
Platform Architecture

Intelligence Bridge (MCP)

The Model Context Protocol (MCP) servers act as the primary interface for your AI agents. By connecting custom intelligence directly to the network, models gain the ability to "see" telemetry and "act" on hardware through secure tool-calling.

"Connect your own LLMs and use our libraries to integrate them directly into the network orchestration layer."

The Intelligence Loop

Hardware Telemetry
Sensors publish to MQTT/CoAP Topics
SQL Rule Engine
Evaluates logic & triggers MCP tools
Intelligence Layer
LLM/ML models process & return commands

Autonomous Robotics Layer

Native support for the Robot Operating System (ROS 2) and high-speed kinematics telemetry.

ROS 2 Bridges

Synchronize local DDS telemetry with the cloud. Managed nodes for bridging topics between local robotics and the platform broker.

Visual Metadata

High-speed ingest for inference metadata. Process LiDAR and RealSense data through the rule engine for spatial awareness.

Fleet Commands

Orchestrate movement across entire fleets. Deploy autonomous systems and use our libraries to integrate them directly into your network.

Advanced Rule Engine

Transform telemetry into action without writing complex firmware. Our SQL-based Rule Engine allows you to define the logic that binds your devices, AI models, and databases together in a zero-latency environment.

SQL-Like Syntax

Easy to define filters and transformations for any JSON payload.

Action Sinks

Route data to Webhooks, Kafka, MQTT, or Time-Series databases.

MCP Integration

Bind rule outputs directly to Model Context Protocol tool calls.

Real-time Metrics

Monitor execution latency and success rates for every active rule.

Integrate Our Libraries

Built for developers. Use our official libraries to build your own intelligence and integrate it with the platform.

Python SDK

For Edge AI and ML Model integration.

C++ / Rust

For high-performance robotics and firmware.

Node.js

For management APIs and dashboarding.

Experience the Next Generation

Pre-registering for the IntelliConnect Beta provides early access to all platform components, including the rule engine, MCP servers, and multi-protocol broker.

Get Beta Access