QiO Technologies: Using AI to Optimize the Performance of Industrial Equipment
QiO Technologies builds digital twins that operate in sync with an asset running in a factory and guide plant engineers and operators on exactly what set points to use to become more efficient. This ultimately delivers continuous systemic optimization that will allow clients to hit their net-zero and efficiency goals. "We always focus on granular, real-time recommendations. For instance, we can recommend an exact temperature controller on a particular equipment of a plant in minute or second level if necessary," says Yassine Houari, Head of Product, QiO Technologies.
Positioning itself as a consultative coach and mentor to clients, QiO Technologies' solution enables multi-asset analysis across billions of data points in real-time without any need for data scientists. This not only helps clients to achieve sustainability and continuous monitoring of their asset performance and progress but also enables them to identify the most valuable actions across maintenance and service. Clients can intervene quickly and repair and overhaul the assets in case there is any sign of degradation.
QiO Technologies' CTO Gary Chandler recalls a recent situation where he helped a glass manufacturer save significantly on operational costs.
Driven by many such successes, QiO Technologies is currently working with BT Group and Intel that run numerous data centers across the globe to repurpose their AI-based asset performance optimization for data center environments. By Q2 of this year, the company plans to launch a product that will focus on energy optimization, growth, and sustainability, particularly for data centers.
We are helping the industrial sector to achieve predictability and remove uncertainty from production and operations by connecting complex industrial equipment, collecting the data siloed amongst systems, and leveraging this data to optimize operations
QiO Technologies continues to assist clients in making informed business value decisions by helping them understand which asset within the whole plant actually contributes to its overall performance. "We are helping the industrial sector to achieve predictability and remove uncertainty from production and operations by connecting complex industrial equipment, collecting the data siloed amongst systems, and leveraging this data mix to optimize operations," says Chandler.