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Foghorn Website Full Guide (2026)

Edge AI platform for industrial IoT analytics (Acquired by JCI).

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Updated May 26, 2026

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Introduction

Foghorn's web interface provides a centralized browser-first control plane for deploying, managing, and monitoring Edge AI applications across industrial IoT environments. It enables engineers and operators to configure machine learning models, orchestrate data pipelines from diverse industrial assets, and visualize real-time operational insights directly from a standard web browser, streamlining the lifecycle management of distributed AI at the edge.

Key Features

Core Capabilities

1

Edge model deployment console

2

Sensor data ingestion pipeline configuration

3

Anomaly detection rule editor

4

Real-time asset health dashboard

Additional Details

1

Predictive maintenance alert manager

2

Industrial protocol adapter library

3

Edge device fleet overview

4

Data stream visualization panel

Use Cases

For Developers

Edge AI Model Orchestration

Data scientists and ML engineers utilize the platform to package, deploy, and manage custom AI models directly to edge devices, ensuring low-latency inference for critical industrial processe

How to Use Foghorn

Configure Edge Data Ingestion

Navigate to the 'Data Sources' section in the browser interface. Select an industrial protocol (e.g., OPC UA, Modbus TCP) and define the asset tags for data streaming from edge device

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