Core contributor in COGNITWIN (cognitive plants with hybrid digital twins), FACTLOG (cognitive manufacturing and energy-aware analytics), CAPRI (cognitive automation for process industry), and GO0D MAN (zero-defect manufacturing).
PRIVREDNO DRUSTVO ZA PRUZANJE USLUGA ISTRAZIVANJE I RAZVOJ NISSATECH INNOVATION CENTRE DOO
Serbian AI and digital twin SME building cognitive manufacturing platforms and big data solutions for European process industries.
Their core work
NissaTech is a Serbian technology SME specializing in AI, big data analytics, and digital twin solutions for manufacturing and process industries. They build software components for cognitive manufacturing platforms — systems that use AI and sensor data to make factories smarter, more energy-efficient, and capable of self-optimization. Their work spans from cloud/edge computing infrastructure for real-time data processing to healthcare big data analytics, though their core strength lies in industrial digitalization. They also contribute to Digital Innovation Hub (DIH) ecosystems, helping manufacturing SMEs across Europe adopt AI-driven tools.
What they specialise in
Built real-time big data processing capabilities across PrEstoCloud (edge computing for big data), BigMedilytics (healthcare big data), and OPTIMUM (multi-source data fusion).
Active in MIDIH (Manufacturing Industry Digital Innovation Hubs), AI REGIO (DIH alliance for AI-driven SME transformation), and BEinCPPS (cyber-physical production systems experiments).
Contributed to BigMedilytics, applying big data technologies to population health management and oncology.
IIoT and sensor expertise demonstrated in COGNITWIN and linked to predictive digital manufacturing in CloudiFacturing.
How they've shifted over time
In 2015–2018, NissaTech focused on foundational Industry 4.0 topics: cyber-physical production systems (BEinCPPS), zero-defect manufacturing (GO0D MAN), big data fusion for mobility (OPTIMUM), and cloud infrastructure for real-time processing (PrEstoCloud). From 2019 onward, their work shifted decisively toward AI-driven cognitive manufacturing — digital twins that learn, self-adapt, and optimize energy use in process industries (COGNITWIN, FACTLOG, CAPRI). They also expanded into the DIH ecosystem layer, helping regions and SMEs adopt these AI tools at scale (AI REGIO).
NissaTech is moving from general-purpose data infrastructure toward specialized AI platforms for process industry transformation, positioning them as a go-to partner for factories seeking cognitive automation.
How they like to work
NissaTech operates exclusively as a consortium partner — they have never coordinated an H2020 project. However, with 207 unique partners across 25 countries in 11 projects, they are deeply networked across European manufacturing and digital innovation ecosystems. Their consistent participation in Innovation Actions (9 out of 11 projects) suggests they contribute production-ready software components rather than early-stage research, making them a reliable technology contributor in large, application-oriented consortia.
With 207 unique consortium partners across 25 countries, NissaTech has built one of the broadest collaboration networks for a Serbian SME in H2020. Their partnerships span Western and Southern Europe heavily, reflecting the manufacturing and DIH ecosystems they operate in.
What sets them apart
NissaTech is one of very few Serbian SMEs with deep, sustained involvement in Europe's top-tier manufacturing digitalization projects. Their unusual combination of AI/digital twin expertise with hands-on DIH experience means they can both build the technology and help deploy it to SMEs that lack in-house digital capabilities. For consortium builders, they offer strong technical execution at competitive Serbian cost rates — a practical advantage in budget-conscious EU proposals.
Highlights from their portfolio
- COGNITWINTheir highest-funded recent project (EUR 380,975), focused on self-learning hybrid digital twins for industrial plants — representing the clearest expression of their current technical direction.
- PrEstoCloudTheir single largest EC contribution (EUR 484,500), building proactive cloud/edge resource management for real-time big data — the infrastructure foundation that enabled their later AI work.
- AI REGIOPositioned them within the Vanguard Initiative and I4MS ecosystem, connecting their technical capabilities to the broader European AI adoption strategy for manufacturing SMEs.