Product Overview

ArundoEdge & EdgeManager

ArundoEdge enables fast, secure and efficient streaming of IoT sensor data from control systems to the cloud. Use Arundo EdgeManager for one-click deployment of machine learning models and monitoring of system health, system performance, model precision, and execution.

Deploying, running, and monitoring machine learning models on ArundoEdge is simple and enables you to solve your problems as close to your equipment as possible.

EdgeManager provides a complete overview across all connected assets. Monitor system health, system performance, model precision, and execution. Get early warnings of connection issues or missing sensor data. Manage, deploy and monitor machine learning models across your Edge fleet.

Learn more about Edge and EdgeManager in our product sheet.

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More insights

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Building an Industrial AI Companion using Arundo Foundation

While large language models (LLMs) may struggle to generate insights directly from time-series data, their strong pattern-recognition capabilities make them well-suited for identifying and synthesizing already existing insights. We therefore argue that an architecture featuring a separate graph-based domain model and time-series data storage is the ideal architecture for a generalized AI companion serving the heavy asset industry: An agentic AI can first identify relevant nodes (assets, sensors, and a large variety of pre-computed models) for answering a user prompt using a mixture of APIs, query language generation, semantic search, and graph traversal. Only after this filtering step is time-series data accessed and retrieved to synthesize an answer.