Many industrial plants rely on manual sampling and outdated control systems, leading to inefficiencies in resource consumption, inconsistent output quality, and increased operational costs. The lack of real-time data and automated intervention hinders the ability to optimize processes and respond quickly to changing conditions.

Haber provides an AI-driven automation platform that leverages robotic sampling and real-time data analytics to optimize process, utilities, and water systems within industrial plants. The eLIXA platform collects data from sensors, smart devices, and proprietary equipment, then applies machine learning algorithms to identify trends and patterns. This enables automated intervention and control of the entire system through the Edge interface, maintaining output quality, reducing variability, and minimizing chemical consumption. The system provides real-time monitoring and remote control capabilities through a web portal, allowing users to analyze data and adjust dosing from anywhere in the world.

Robotic sampling for automated, real-time process monitoring and data collection

Integration with existing sensors, smart devices, and proprietary equipment

AI-powered analytics to identify trends and patterns in real-time data

Automated intervention and control of systems via the eLIXA platform

Edge interface for on-site analysis and control of critical parameters

Remote monitoring and control via a web-based dashboard

Customizable KPI matrix and intuitive charts for data visualization

Predictive modeling to optimize resource consumption and minimize waste

Haber primarily serves industries such as pulp and paper, food and beverage, and institutional facilities looking to improve operational efficiency, reduce resource consumption, and enhance output quality.