AI, IoT Platform Streamlines Infrastructure Maintenance, Reduces Costs

BrightAI, a company that develops AI-driven solutions for critical infrastructure, has launched Stateful OS, an AI platform designed to enable infrastructure operators to manage maintenance tasks more efficiently.

Infrastructure maintenance traditionally relies on reactive and inefficient practices, such as routine visits and manual checks, without real-time visibility of problems such as power outages, water main breaks and gas leaks. Labor and truck rolls can consume up to 80% of operations budgets, meaning this reactive approach can lead to costly failures.

Stateful OS aims to provide real-time data insights for industries such as water, energy, transportation, construction, pest control and manufacturing to prevent failures and reduce costs.

It collects data from more than 250,000 active AI endpoints at 30,000 AI locations to fuel its multimodal AI models. These models enable the detection of infrastructure flaws before they escalate, allowing workers to act quickly and precisely as and when needed.

According to BrightAI, Stateful OS offers 24/7 monitoring, diagnostics and automated dispatch for real-time insights into infrastructure conditions. For the on-site workforce, it enables AI-powered field reporting and copilot guidance support. It aims to improve inspection accuracy and reduce risk with autonomous inspection, using automated, AI-driven systems for complex, repetitive and hazardous tasks,

Related:Hitachi Energy Launches AI-Powered Energy Forecasting Tool

Use Case: Azuria Water Solutions

One early adopter, Azuria Water Solutions, used Stateful OS to overcome challenges in maintaining aging sewer systems while facing a tight labor market. Azuria deployed robotic systems equipped with multimodal AI sensors to gather real-time data processed through Stateful OS, enabling precise, data-driven decisions.

Azuria saw a 30% increase in workforce productivity through automated data collection, $10–$14 million monthly savings in operational costs, enhanced accuracy and reduced errors, BrightAI said.

This launch follows a successful series A funding round of $15 million, led by Upfront Ventures, which BrightAI intends to use to expand the platform across multiple industries.

This article was first published in IoT World Today's sister publication AI Business.