IMC.SK is a compact, senior-level team. We are not a staffing agency — we are a focused group of scientists, engineers, and designers who have worked together across multiple EU research programmes and commercial projects, sharing a genuine conviction that AI-driven Digital Twin technology can change how industries and public services operate.
Elena founded IMC.SK with a clear conviction: that AI-driven Digital Twin technology could fundamentally change how healthcare systems, industries, and cities operate — and that a small, highly focused team could deliver that change within the framework of European research and innovation programmes.
With over 15 years of entrepreneurial experience and a strong analytical background, Elena leads the company's strategic direction and oversees its multidisciplinary team. Her ability to see both the technical depth and the broader socioeconomic landscape of digital transformation is central to how IMC.SK identifies and frames its work — bridging the gap between cutting-edge research and practical, deployable solutions.
Elena has successfully coordinated and implemented multiple Horizon 2020 and Horizon Europe projects, navigating the demands of large international consortia while keeping the company's core value proposition sharp and commercially viable. Her interests span Digital Health, Industrial AI, and Urban Digitalisation — the three domains where IMC.SK's Digital Twin platforms are most active.
She works directly with partners, clients, and EU programme managers — and is the primary point of contact for consortium partnership discussions and strategic collaboration enquiries.
Our core team combines deep domain expertise across physics, industrial engineering, software development, IoT architecture, and applied mathematics. Every member brings years of hands-on experience — in research labs, on factory floors, and in production software environments.
Sergey leads IMC.SK's research function, specialising in advanced smart measurement methods and sensing instrumentation coupled with novel IT platforms. His background in precise diagnostics equipment for fundamental science translates directly into the company's ability to handle complex, heterogeneous physical sensor data in its Digital Twin solutions.
An active participant in leading international research collaborations spanning the EU, USA, and Japan, working on novel concepts in energy generation, laser technology, and measurement methods. He serves as a representative at several major European research consortia, including the COST Inertial Confinement Fusion initiative, the European XFEL HIBEF consortium, and the European Task Force for Laboratory Astrophysics. Contributing to IMC.SK's research methodology since 2011.
Stephan turns real-world industrial complexity into working Digital Twins. With deep hands-on experience in process control systems, complex automation infrastructure, and factory operations, he understands how industrial systems actually behave — which is the essential starting point for modelling them accurately.
At IMC.SK, Stephan develops comprehensive knowledgebase models of cyber-bio-physical systems — the semantic core that makes a Digital Twin genuinely intelligent rather than simply a monitoring dashboard. He applies AI, Big Data, and IoT technologies to deliver holistic management of manufacturing operations: real-time monitoring, performance and quality KPIs, environmental impact tracking, and deviation prediction.
Vyacheslav is responsible for the layer of IMC.SK's Digital Twin platform that users actually see and interact with — treating it as a discipline equal in importance to the AI and data layers beneath. His background in applied mathematics and object-oriented software architecture means that the interfaces he builds are not just visually clear, but structurally sound and maintainable at scale.
With over 8 years of professional software development experience, Vyacheslav leads the design and implementation of cross-platform web and mobile applications — the dashboards, conversational AI interfaces, GIS visualisations, and analytics views through which managers, operators, and citizens interact with their Digital Twins.
Murad is the engineer who connects the physical world to the digital one. In a Digital Twin system, this connectivity is everything: if the data pipeline from sensors to the knowledgebase model is unreliable, slow, or fragmented, the Twin's intelligence is compromised. Murad ensures that does not happen.
He leads the design and implementation of IoT networks, real-time data stream processing, middleware broker architectures, and protocol convertor systems — the invisible infrastructure that makes seamless data ingestion from heterogeneous physical devices possible. Particular strength in low-latency stream processing and multi-protocol integration.
IMC.SK intentionally combines disciplines that rarely sit in the same team. This breadth is not accidental — it reflects the genuine complexity of the systems our Digital Twins need to represent.
A small, senior team working on complex problems requires a specific kind of culture — one built on deep mutual trust, intellectual rigour, and a shared commitment to genuine quality over surface-level delivery.
Physics and software engineering, industrial automation and UX design, IoT infrastructure and AI modelling — combined in one team. This breadth reflects the genuine complexity of the systems our Digital Twins must represent.
We work with the best specialists regardless of geography. Teams are composed and adjusted around the specific requirements of each project and customer — rather than forcing every problem through the same team configuration.
Every solution is built exclusively on open-source components — eliminating vendor lock-in, keeping costs sustainable, and ensuring our technology remains auditable, adaptable, and genuinely owned by the people using it.
Participation in EU Horizon programmes gives the team direct access to the frontiers of applied AI, IoT, and systems science. Research insights flow directly into product development — informed by the best available science, not yesterday's industry consensus.
We consider a Digital Twin genuinely successful only when it is actively used by real people to make better decisions in their daily work. We stay engaged after deployment — monitoring performance, incorporating feedback, and updating the knowledgebase model as the real-world system evolves.
For larger EU research consortia and complex implementation projects, IMC.SK draws on a wider network of trusted collaborators — data scientists, domain specialists, medical data analysts, bioinformaticians, and trainers. The core team leads; extended expertise is brought in where it adds the most value.
We are always open to conversations with researchers, engineers, domain specialists, and organisations who share our interest in AI, Digital Twins, and European innovation. Whether you are considering a commercial project, exploring a Horizon Europe partnership, or simply want to connect — get in touch.
We respond to every serious enquiry. If you are preparing a Horizon Europe proposal, planning a digital transformation programme, or simply exploring what an Intelligent Digital Twin could mean for your organisation — we are ready to talk.