We transform complex assets into operational 3D environments connected to live data and AI, so teams can see, simulate, anticipate and optimize decisions before and during real-world operations.
Real-time visibility for operations, risk and planning.
High-fidelity twins for simulation, prediction and validation.
Real-time digital twins for safer, smarter and more efficient operations
TwinPath AI builds and operates real-time, high-fidelity digital twins for cities and safety-critical infrastructure. We combine precise scanning, GIS, point clouds, field measurements, operational data and AI models in a 3D environment where owners and operators can understand asset condition, test scenarios and optimize decisions.
We are an Austro-Romanian startup, combining engineering expertise from Austria and Romania to deliver reliable digital twin systems for public and industrial operators.
To turn complex assets into digital decision tools so operators can reduce risk, improve resilience and invest more intelligently.
We build digital platforms that unite 3D representation, operational data and AI to deliver control, prediction and simulation at system level.
See the processThe platform is designed for complex environments where real-time visibility, simulation and risk reduction are essential.
Operational flows, safety, capacity planning and resilience.
Port logistics, traffic, maintenance and critical infrastructure monitoring.
Predictive maintenance, operational optimization and process simulation.
Urban operations, infrastructure, mobility, services and strategic planning.
Virtual validation for autonomous and mission-critical systems with safer test coverage and faster deployment readiness.
TwinPath AI leadership team:
Mihai leads TwinPath AI's strategy and product execution, with a focus on operational digital twins for cities and critical infrastructure.
Franz Wotawa received a M.Sc. in Computer Science (1994) and a PhD (1996) from the Vienna University of Technology. He is Professor of Software Engineering at Graz University of Technology and has authored more than 390 peer-reviewed publications. His work spans model-based reasoning, verification and validation, software testing and debugging, with strong focus on bridging research and industrial practice.
Andrei drives the data direction for TwinPath AI and coordinates data quality, governance and decision intelligence capabilities.
If you want to discuss digital twins for cities, critical infrastructure, operational simulation or robotics validation, you can contact us directly by email.
Real-time digital twins for safer, smarter and more efficient operations