FORA (fog computing for robotics and industrial automation) directly maps to their core drive and automation product line; DAIS extends this into AI-enabled industrial systems.
DANFOSS POWER ELECTRONICS AS
Danish industrial drives manufacturer contributing real-world automation environments to AI and edge computing research consortia.
Their core work
Danfoss Power Electronics is the drives and power electronics division of Danfoss A/S, one of Europe's largest industrial manufacturers. They design and produce variable speed drives (frequency converters) used to control electric motors across industrial applications — HVAC, water treatment, food processing, cranes, and compressors. In H2020 research consortia, they serve as an industrial validation partner, contributing real-world deployment environments and use-case grounding that academic partners cannot replicate. Their involvement in fog computing and distributed AI projects reflects a strategic interest in embedding intelligence into next-generation industrial drive systems.
What they specialise in
FORA (2017–2021) addressed fog computing architectures for robotics and industrial automation, a natural extension of intelligent drive systems.
DAIS (2021–2024) focused on distributed artificial intelligence with explicit keywords including trustability, safety, reliability, and cross-domain interoperability.
DAIS keywords include interoperability, connectivity, and reusability, pointing toward IIoT integration capabilities within their drive product ecosystem.
How they've shifted over time
Danfoss Power Electronics entered H2020 research through FORA (2017–2021), a project grounded in fog computing and physical automation — domains closely tied to their existing industrial drive products. By the time of DAIS (2021–2024), the focus had shifted decisively toward distributed AI, trustability, and cross-domain interoperability, with no overlap in keywords between the two periods. This trajectory suggests a deliberate move to understand how AI and intelligent distributed systems will change the requirements placed on industrial power electronics — particularly around safety and reliability standards.
Danfoss Power Electronics is positioning itself at the intersection of industrial automation and AI governance — likely anticipating that intelligent, certifiable AI will become a requirement in next-generation drive systems and industrial control.
How they like to work
Danfoss Power Electronics consistently joins as a partner or participant rather than coordinating projects — a pattern typical of large industrial companies that contribute use-case environments and validation rather than leading research agendas. Despite only two projects, they engaged with 59 unique partners across 13 countries, indicating involvement in large, multi-institutional consortia where their industrial footprint carries weight. They bring credibility and deployment context to research teams, not administrative leadership.
With 59 unique consortium partners across 13 countries from just two projects, Danfoss Power Electronics operates within broad pan-European research networks. Their geographic spread suggests no single national cluster dependency — they connect across Northern, Western, and Southern Europe.
What sets them apart
Unlike university labs or research institutes, Danfoss Power Electronics brings manufacturing-scale industrial environments where research results can be tested against real motor control systems, real power loads, and real safety requirements. Their parent group ships millions of drives annually, meaning any AI or edge computing solution they validate has an immediate, credible path to market. For consortium builders, they represent the kind of industrial anchor partner that strengthens both the application layer and the exploitation narrative of a proposal.
Highlights from their portfolio
- DAISThe only funded project (EUR 48,643), it placed Danfoss at the intersection of distributed AI and industrial safety — directly relevant to future intelligent drive systems requiring certification.
- FORAAn MSCA training network on fog computing for robotics, notable for being their earliest EU research engagement and for connecting them to a broad academic-industrial consortium in the automation space.