IMC.SK's strategy is clear: help public organisations and private enterprises move beyond reactive operations — and into a new era of AI-driven, prediction-based intelligence. We do this through one core technology: the Intelligent Digital Twin.
"Our core mission is to transform heterogeneous big data into clear, actionable intelligence — enabling managers, operators, and citizens to run complex systems more sustainably, efficiently, and confidently."
Every modern organisation — a hospital, a dairy plant, a smart city, a marine conservation agency — is surrounded by a torrent of data from sensors, machines, clinical records, IoT devices, and operational logs. Most of this data is wasted. It arrives fragmented, in incompatible formats, and far faster than any human team can process it.
IMC.SK's strategy is to change that. We build Intelligent Digital Twins: living, AI-powered virtual replicas of real-world systems. Once deployed, a Digital Twin continuously absorbs all available data, interprets the current status of the system in real time, predicts what will happen next, and communicates its findings to the right people — in the right format, at the right moment.
The result is a fundamental shift: from reactive crisis management to proactive, prediction-based operations. Failures are anticipated rather than reacted to. Resources are optimised continuously. Decision-making is guided by evidence rather than intuition.
Every engagement follows a structured, proven methodology — from first requirements conversation to live operational deployment. We work as genuine partners through each step.
We begin by deeply understanding the customer's operational environment: the system to be modelled, the key stakeholders, the data currently available, the KPIs that matter, and the regulatory or compliance context.
We design the "brain" of the Digital Twin: a formal semantic model of the target system that captures all objects, their relationships, possible statuses, KPIs, data sources, and decision logic.
We connect the model to live data sources — IoT networks, databases, APIs, clinical systems — and build the AI and analytics layers: anomaly detection, KPI computation, predictive models, and forecasting engines.
We build the multimodal interfaces through which users interact with the Twin: web and mobile dashboards, conversational AI in natural language, GIS visualisations, alert systems, and notification apps.
Before full deployment, the Digital Twin undergoes rigorous testing against real operational data, validation of KPI accuracy and prediction quality, and pilot running with key users. Feedback is systematically incorporated.
We deploy on cloud or enterprise edge infrastructure, train all user groups, and provide dedicated ongoing support. The Digital Twin is designed to evolve as the real-world system changes.
Our strategic focus spans two primary commercial verticals and four active research domains — all united by the same underlying Digital Twin platform approach.
Personal Virtual Health Assistants that autonomously monitor individual biomarkers, evaluate homeostasis shifts, and communicate health status in natural language. Remote monitoring platforms for elderly and chronic care populations.
Primary verticalEnterprise Digital Twins for factories and plants that collect all operational and production data, compute performance KPIs in real time, predict equipment failures, and support managers in running profitable, sustainable operations.
Primary verticalIntelligent Marine Digital Twins that model complex biophysical and socio-ecological processes in offshore areas, enabling real-time ecosystem analysis and science-based marine management decisions. Active in EU SEAMPHONI project.
EU ResearchCity Digital Twins that give local governments, utilities, and citizens a unified, real-time view of urban processes — traffic, energy, infrastructure, environment. Enabling data-driven urban management that improves quality of life.
Commercial productDigital Twins for agricultural processing plants — particularly dairy — providing holistic monitoring of all production processes, quality control, environmental compliance, and business performance.
Commercial productDevelopment and integration of IoT infrastructure, edge computing, and semantic interoperability layers that underpin all our Digital Twin solutions. GDPR-compliant edge processing for sensitive data. Active in SmartEdge EU project.
EU Research — SmartEdgeEvery Digital Twin we build — whether for a hospital, a factory, or a city government — must meet these non-negotiable design commitments.
All solutions are built on open-source components and designed to evolve without prohibitive cost or effort. As infrastructure changes, regulations shift, new data sources emerge, or business priorities evolve, the Digital Twin must adapt — not become technical debt. We architect for change from day one.
Using open-source stacks and cloud-native architectures, we minimise both upfront implementation investment and ongoing operational expenditure — making Digital Twin technology accessible to SMEs and public sector organisations, not just large enterprises.
Data owners maintain complete control at all times. We design with privacy-by-default: edge processing where data sensitivity demands it, DLT-based audit trails where transparency is required, and strict GDPR compliance as a baseline — not an afterthought. No data leaves the client's control without explicit authorisation.
A significant proportion of operational staff time is consumed by manual data collection, report preparation, status-checking, and routine decision-making. Our Digital Twins automate all of this — freeing people to focus on work that requires genuine human judgement and creativity.
Our solutions are architected to interoperate with existing enterprise systems, third-party data sources, and regulatory reporting platforms from the outset. They scale horizontally — from a single facility to a national network — without requiring architectural redesign.
We actively invite business partners, research institutions, public bodies, and industry players to explore new opportunities with us — whether as commercial clients deploying our solutions, or as consortium partners on new Horizon Europe and other EU-funded calls for proposals.
Our team has the technical depth, the project experience, and the EU research network to contribute meaningfully to large-scale innovation projects. We bring knowledgebase modelling, AI, IoT integration, and Digital Twin deployment expertise that complements system integrators, domain specialists, universities, and technology providers.
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.