MANTIS focused on cyber-physical system-based proactive maintenance; ASSISTANT addressed robust decision support for agile manufacturing.
ATLAS COPCO AIRPOWER NV
Global compressor manufacturer applying AI-driven predictive maintenance and embedded optimization to industrial air and gas systems.
Their core work
Atlas Copco Airpower is the compressed air and gas division of the Atlas Copco Group, one of the world's largest manufacturers of industrial compressors, vacuum equipment, and air treatment systems. Based in Wilrijk (Antwerp), they design and manufacture energy-intensive rotating machinery where thermal management, predictive maintenance, and smart control are critical performance factors. Their H2020 participation focuses on applying AI-driven optimization and advanced control systems to improve the efficiency and reliability of their industrial equipment lines.
What they specialise in
ELO-X targets embedded learning and optimization for next-generation smart industrial control systems.
GeoSmart involved ORC (Organic Rankine Cycle), cooling systems, and thermal storage for geothermal applications.
All four projects connect back to optimizing energy-intensive rotating machinery — compressors are the common industrial use case across their portfolio.
How they've shifted over time
Their early H2020 work (2015–2018) centered on condition monitoring and predictive maintenance for cyber-physical systems (MANTIS), alongside thermal management topics like ORC and cooling systems (GeoSmart). From 2020 onward, the focus shifted decisively toward AI and embedded optimization — model predictive control, machine learning for industrial control, and real-time decision support (ASSISTANT, ELO-X). The trajectory is clear: moving from monitoring and reacting to equipment behavior toward embedding intelligence directly into their machines.
Atlas Copco Airpower is building capability to embed machine learning and optimization algorithms directly into industrial equipment controllers — expect them to seek partners in edge AI and real-time optimization.
How they like to work
Always a participant, never a coordinator — consistent with a large industrial company that joins EU projects to access research expertise rather than to manage consortia. With 93 unique partners across 22 countries in just 4 projects, they operate in large, diverse consortia (averaging 23+ partners per project). This signals they are comfortable as an industrial end-user and validation partner, contributing real-world test cases and manufacturing environments rather than leading research agendas.
Despite only 4 projects, they have collaborated with 93 partners across 22 countries, reflecting participation in large-scale European consortia. Their network spans most of the EU, with no narrow geographic concentration.
What sets them apart
Atlas Copco Airpower brings something rare to EU consortia: a global manufacturer with direct control over product lines, factory floors, and millions of installed compressor units worldwide. For researchers working on predictive maintenance, embedded optimization, or energy efficiency, they offer immediate industrial validation at scale — not a lab demo but deployment into real products. Their willingness to participate across diverse project types (ECSEL, RIA, IA, MSCA) shows genuine openness to collaborative R&D.
Highlights from their portfolio
- MANTISLargest EC contribution (EUR 468K) and their entry point into H2020, focused on the core business challenge of proactive maintenance for cyber-physical systems.
- ELO-XTheir most recent and strategically significant project — an MSCA training network on embedded learning and optimization, signaling investment in next-generation talent and technology.
- GeoSmartUnusual cross-sector reach into geothermal energy, applying thermal management expertise (ORC, cooling) outside their traditional compressed-air domain.