ARNOWA

Connected sensors, analytics and AI for cities and industry

ARNOWA builds an operational intelligence platform that starts with the physical world: IoT sensors, meters and other devices that collect data, and software that turns that data into decisions. The company calls its mantra "you want it measured, we provide the how", and says it can either integrate with equipment a client already owns or supply its own sensors and devices, including products made by partners.

Hardware, software and AI agents

The offer has three layers, which together cover sensing, analysis and action. Edge hardware handles data acquisition from almost any device. A cloud-based application stores the data, shows it on dashboards and charts, applies statistical functions and AI models, and supports alarms and control of connected devices. Newer material describes AI agents that detect anomalies, automate field workflows and send alerts or reports to decision makers, working with any existing or emerging large language model. ARNOWA also covers machine vision, using video as a source of spatial information for cities and industrial sites, and offers digital twins.

Where it is used

The company lists smart cities, smart buildings, smart homes, transport and parking, retail, and manufacturing as areas of use. Street lighting is a worked example: it points out that lighting uses a large amount of energy and that spotting a dimmed or failed fixture is hard without monitoring. For buildings, ARNOWA describes wireless hardware that lets owners and managers connect and automate technology and energy systems and so reduce costs.

Intelligence on top of the data

An intelligence ecosystem of analysts reviews the accumulated information and provides periodic recommendations. Its stated aims, which come from the company and not from an outside test, include predictive maintenance, energy optimisation, sustainability reporting and automated workflows across smart city, industrial and environmental operations, with dashboards that let operators compare readings across parameters.