CYBERNETICA AS

Their core work

Cybernetica AS is a Norwegian technology SME specializing in advanced process modeling, optimization, and control for industrial applications. They develop model-based solutions — including model predictive control, digital twins, and AI-driven self-adaptive systems — that help energy-intensive industries (refineries, chemical plants, manufacturing) run more efficiently and with lower emissions. Their work spans from real-time batch process optimization to cognitive digital twin platforms that combine physics-based models with machine learning for proactive plant management.

What they specialise in

How they've shifted over time

Cybernetica's early H2020 work (2015-2017) centered on classical model-based process optimization — improving batch processes and resource efficiency through advanced control algorithms (RECOBA, Morse). From 2019 onward, they shifted toward AI-augmented approaches: cognitive digital twins combining physics models with machine learning (COGNITWIN), and applied their process expertise to the CCUS domain (REALISE). The trajectory shows a clear move from traditional process control toward intelligent, self-learning industrial systems with a growing environmental dimension.

Cybernetica is evolving from a process control specialist into an AI-for-industry company, increasingly applying their modeling expertise to decarbonization challenges — making them a strong fit for future Green Deal and Industry 5.0 consortia.

How they like to work

Cybernetica consistently participates as a specialist partner rather than leading consortia — all four projects were in a participant role, suggesting they are brought in for their specific technical modeling and control expertise. With 47 unique partners across 17 countries, they are well-networked and comfortable in large, diverse consortia (primarily Innovation Actions). Their consistent participant role indicates they deliver focused technical contributions rather than managing project administration.

Cybernetica has built a broad European network of 47 unique consortium partners spanning 17 countries, indicating strong cross-border collaboration experience despite being a small company. Their partnerships span industrial, academic, and research organizations across the energy and manufacturing sectors.

What sets them apart

Cybernetica sits at a rare intersection: deep expertise in mathematical process modeling combined with practical AI/digital twin implementation for heavy industry. Unlike pure software companies or pure consultancies, they bring decades of model predictive control know-how that they are now augmenting with machine learning — giving them credibility with both traditional process engineers and digital transformation teams. For consortium builders, they offer a reliable SME partner that consistently delivers technical substance without the overhead of coordinating large organizations.

Highlights from their portfolio

• COGNITWIN
  Their largest-funded project (EUR 586K) and most technically ambitious — combining AI, digital twins, IIoT, and self-adaptive models for cognitive industrial plants.
• Morse
  Highest single EC contribution (EUR 816K) and longest-running project (2017-2022), focused on their core strength of model-based optimization for resource and energy efficiency.
• REALISE
  Demonstrates their expansion into CCUS and refinery decarbonization — a strategic pivot toward climate-relevant industrial applications.