DELPHI4LED (2016–2019) focused directly on translating LED measurements into standardized multi-domain compact models, a foundation that underpins their later digital work in AI-TWILIGHT.
INGELUX
French SME bridging LED photonics expertise and AI-powered digital twins for industrial lighting infrastructure in Industry 4.0 environments.
Their core work
INGELUX is a French technology SME based near Lyon that specializes in LED lighting systems — from precise measurement and standardized compact modeling of LED components to AI-driven digital twins for industrial lighting infrastructure. In their earlier EU work they contributed to developing multi-domain compact models of LEDs that translate physical measurements into standardized engineering tools used across the industry. More recently, they have moved into the digitalization of the entire lighting design and maintenance lifecycle, applying artificial intelligence and digital twin methods to predict LED lifetime and optimize lighting infrastructure in Industry 4.0 factory environments. Their value to a consortium lies in combining hands-on photonics and lighting hardware expertise with an emerging capability in data-driven, model-based engineering.
What they specialise in
AI-TWILIGHT (2021–2025) is explicitly built around an AI-powered digital twin for lighting infrastructure in front-end Industry 4.0 contexts.
AI-TWILIGHT lists 'lifetime prediction' as a core keyword, indicating INGELUX contributes predictive reliability methods for lighting systems.
AI-TWILIGHT keywords include 'digitalised design flow', suggesting INGELUX is developing competence in model-based and AI-assisted product design pipelines.
How they've shifted over time
In their first project (DELPHI4LED, 2016–2019), INGELUX worked at the measurement and standardization layer — the challenge of capturing LED behavior in compact models usable across the industry. No AI, no digital twin; the focus was physics-accurate characterization. By their second project (AI-TWILIGHT, 2021–2025), every keyword had shifted: digital twin, AI, Industry 4.0, lifetime prediction, digitalised design flow — language from the systems integration and smart manufacturing world. The trajectory is clear: they have moved from component-level metrology toward end-to-end digital infrastructure management, using their deep LED knowledge as the physical foundation for higher-level AI and digital twin systems.
INGELUX is moving steadily up the value chain — from measuring LEDs to modeling them, and now to building AI systems that manage entire lighting infrastructures in smart factories, making them an increasingly relevant partner for Industry 4.0 and smart building projects.
How they like to work
INGELUX has participated exclusively as a consortium partner — never as coordinator — across both projects. Their involvement in an ECSEL-RIA project (AI-TWILIGHT) places them alongside large industrial players, chip manufacturers, and research institutes typical of European semiconductor and electronics consortia, which tend to be large (15–30+ partners). With 34 unique partners across just 2 projects, they engage deeply in wide networks rather than working in tight, repeated bilateral arrangements. This suggests they are comfortable operating as a specialist node in complex multi-stakeholder programs, contributing a defined technical slice rather than driving the overall agenda.
Despite only two projects, INGELUX has worked with 34 unique partners across 11 countries — an unusually broad network for an SME at this scale, explained by their participation in ECSEL-RIA, which typically assembles large pan-European industry-academia consortia. Their geographic footprint spans at minimum the core EU innovation corridor (France, Germany, Benelux, and likely Southern and Northern Europe given ECSEL composition).
What sets them apart
INGELUX occupies a rare intersection: a small French company that understands LED physics at the component level and is now applying that knowledge inside AI and digital twin systems for industrial environments. Most digital twin players come from the software or automation side and lack deep photonics grounding; most LED specialists stay in the hardware and optics domain. INGELUX bridges both, which makes them a credible partner for projects that need someone who can translate between the physical behavior of light sources and their digital representation in smart factory systems.
Highlights from their portfolio
- AI-TWILIGHTTheir largest and most recent project (€238,990, running to 2025), combining AI, digital twin technology, and Industry 4.0 for lighting infrastructure — the clearest signal of where INGELUX is heading and what they can bring to future consortia.
- DELPHI4LEDA foundational European standardization effort for LED compact modeling that established INGELUX's credibility in the photonics and lighting community and gave them the measurement expertise underlying their later digital work.