Smart innovation across the HVAC/R ecosystem
At Chillventa 2026, we present CAREL AI as part of our Distributed intelligence theme: smart innovation that connects controllers, supervisors, cloud platforms and application know-how to support more efficient, reliable and sustainable operation.
CAREL AI brings intelligence closer to where decisions are made. It works across different levels of the HVAC/R architecture, from software development to local supervision and cloud-based optimisation.
This distributed approach helps transform data into operational knowledge. Instead of simply collecting information, CAREL solutions support faster decisions, earlier anomaly detection and continuous performance improvement across connected applications.
From monitoring to predictive support
Monitoring is now a standard part of HVAC/R management. Artificial intelligence adds a further level of automation, prediction and decision support, helping teams detect abnormal behaviour before it affects continuity, comfort or product conservation.
In critical applications such as food retail, data centres, laboratories and production environments, this can help reduce unplanned interventions, improve service planning and keep systems aligned with energy and operational KPIs.
AI for development, supervision and cloud services
CAREL applies AI across tools, devices and digital platforms. STone-copilot supports software teams in developing HVAC/R applications more efficiently, reducing repetitive tasks and helping standardise control logic.
At site level, boss supervisors help coordinate multiple devices within the same installation.
At cloud level, RED optimise with the Smart Retailer bundle uses AI to provide personalised analysis and predictive suggestions, including support for defrost optimisation and early identification of critical issues on refrigerated cabinets.
Benefits for every HVAC/R stakeholder
AI-enabled distributed intelligence supports different stakeholders throughout the system lifecycle. Software teams can accelerate development, installers and contractors can simplify configuration, and system integrators can manage more complex architectures with greater consistency.
Facility companies and maintenance teams can use predictive insights to improve service efficiency and reduce unplanned interventions. End users benefit from systems that are more autonomous, easier to monitor and better able to optimise energy use and operating costs.
Human expertise enhanced by artificial intelligence
CAREL AI combines data analysis with our experience in thermodynamic control, refrigeration, HVAC and digital services. The objective is not to replace technical expertise, but to support it with clearer information and more relevant recommendations.
By connecting hardware, software, algorithms and services, CAREL helps make artificial intelligence useful in real operating conditions, where performance, reliability and simplicity need to work together.
