Digiteh d.o.o.

Velikost podjetja/institucije

mi

Naslov

Tržaška cesta 315, 1000 Ljubljana

About

Digiteh is a development and engineering company specializing in the digital transformation of manufacturing and logistics systems. For more than a decade, in close cooperation with the LASIM laboratory at the Faculty of Mechanical Engineering, University of Ljubljana, we have been developing advanced digital twins based on real data, physical constraints and actual process logic.

Our solutions cover the full scope of production and internal logistics: machines, production lines, warehouses, transport, workforce, planning and supply chains. We use digital twins as analytical and decision-support tools to simulate scenarios, identify bottlenecks, dimension capacities and validate investment and organizational decisions before they are implemented in real operations.

A key strength of Digiteh is the in-house development of optimization algorithms and artificial intelligence methods. These are used for advanced planning, load forecasting, automated search for optimal system configurations and decision support in complex, dynamic production environments. The focus is on robust, verifiable solutions that operate reliably in real manufacturing systems, not in idealized cases.

Digiteh does not deliver generic tools. We develop tailored solutions built on the customer’s specific data, constraints and objectives. Our goal is measurable and operational: higher efficiency, greater predictability and significantly reduced risk when changing production and logistics systems.

Key services

  • Manufacturing and Logistics Process Analysis: Structured analysis and mapping of processes, resources, material and information flows as a foundation for digital twins, optimization and AI models.
  • Simulation, What-If and Stress-Test Analysis: Scenario-based simulations to evaluate layout alternatives, organizational changes, investment options and growth scenarios without risk to real operations.
  •  Process Optimization Using AI and Advanced Algorithms: Targeted optimization of efficiency, throughput, resource utilization and system stability using AI-based methods and optimization algorithms.
  •  Feasibility Studies and Concept Validation: Preparation and execution of feasibility studies for new production systems, logistics concepts and investments, supported by simulations, quantitative analyses and clearly defined decision criteria.
  •  AI and Digital Transformation Consulting: Design and implementation support for introducing artificial intelligence, digital twins and data-driven decision-making into industrial environments.