Core focus across oCPS (cyber-physical systems optimization), ELO-X (embedded learning and optimization for industrial control), and RETROFEED (monitoring and control systems).
ODYS SRL
Italian SME developing embedded optimization and machine learning software for industrial process control and smart factory retrofitting.
Their core work
ODYS is an Italian technology SME specializing in advanced process control, optimization, and embedded systems for industrial applications. They develop model predictive control (MPC) solutions, machine learning algorithms, and optimization software that help factories and process plants run more efficiently. Their work bridges the gap between academic control theory and real-world industrial deployment, with applications ranging from raw material processing to energy-efficient retrofitting of existing production lines.
What they specialise in
DISIRE applied machine learning and statistical learning to process control; ELO-X focuses on model learning for smart control systems; RETROFEED uses advanced modelling and simulation.
DISIRE focused specifically on distributed in-situ sensors integrated into raw material and energy feedstocks for real-time process control.
RETROFEED targets energy and resource efficiency through smart retrofitting; ELO-X aims at next-generation smart industrial control — both serve efficiency goals.
RETROFEED explicitly addresses circular economy and bioeconomy through industrial process retrofitting.
How they've shifted over time
ODYS started with foundational work in sensor-driven process control and statistical learning (DISIRE, 2015) and platform-aware optimization of cyber-physical systems (oCPS, 2015). From 2019 onward, their focus shifted decisively toward industrial application — retrofitting existing factories for energy efficiency (RETROFEED) and embedding optimization directly into control hardware (ELO-X). The trajectory shows a clear move from research-oriented sensing and modelling toward deployable, embedded industrial control solutions.
ODYS is moving toward turnkey embedded optimization solutions for smart factories, making them increasingly relevant for Industry 4.0 retrofitting and green manufacturing initiatives.
How they like to work
ODYS operates exclusively as a participant, never as coordinator, which is typical for a specialist SME that contributes deep technical expertise rather than managing large consortia. With 57 unique partners across 15 countries in just 4 projects, they work in large, diverse consortia — averaging over 14 partners per project. This pattern suggests they are a sought-after technical contributor that integrates well into multi-partner research and innovation actions.
Despite only 4 projects, ODYS has built a surprisingly broad network of 57 partners spanning 15 countries across Europe. This wide reach relative to their project count indicates they join large, well-connected consortia rather than small bilateral collaborations.
What sets them apart
ODYS occupies a niche at the intersection of control theory, machine learning, and real-world industrial deployment — a combination that is rare among SMEs. While many companies offer either consulting on process optimization or academic modelling tools, ODYS develops embedded optimization software that runs directly on industrial control hardware. For consortium builders, they bring the critical "last mile" capability of turning research algorithms into factory-floor solutions.
Highlights from their portfolio
- DISIRETheir earliest H2020 project combining in-situ sensors with machine learning for process control, establishing the technical foundation that all subsequent work built upon.
- ELO-XTheir most recent and largest-funded project (EUR 261,500), focused on embedded learning and optimization for next-generation industrial control — represents the leading edge of their capability.
- RETROFEEDAn Innovation Action (not just research) targeting real industrial retrofitting for energy efficiency and circular economy — demonstrates ability to deliver beyond the lab.