High-Fidelity Real-Time Digital Twins

TwinPath AI builds digital twins for cities and critical infrastructure

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.


Operational control tower

Real-time visibility for operations, risk and planning.

3D + data + AI

High-fidelity twins for simulation, prediction and validation.

TwinPath AI digital control tower visual

Real-time digital twins for safer, smarter and more efficient operations

About TwinPath AI

What TwinPath AI does

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.

Advanced digitization GIS capture, on-site measurements and point cloud collection with high precision.
Live integration Connection to sensors, operational systems and real-time data for continuous awareness.
AI & simulation Simulations, anomaly detection, predictive maintenance and measurable KPI optimization.

Our mission

To turn complex assets into digital decision tools so operators can reduce risk, improve resilience and invest more intelligently.

Solutions

Three core directions for TwinPath AI

We build digital platforms that unite 3D representation, operational data and AI to deliver control, prediction and simulation at system level.

See the process

1. Control tower digital twin for operations and planning

  • Real-time situational awareness for traffic, utilities, services and infrastructure.
  • AI-powered optimization for traffic, energy, maintenance, logistics and workforce routing.
  • Decision sandbox to test interventions and select the best ROI / risk option.

2. Digitalization layer for critical infrastructure

  • Single source of truth from design and construction to operations.
  • Reduced change orders, compliance validation and improved uptime.
  • Preparation for incidents and resilience against physical, cyber and climate-related risks.

3. Simulation factory for autonomy and robotics

  • Realistic 3D platform with sensor and physics simulation.
  • Dynamic scenarios and synthetic data with automated labeling for model training.
  • Sim2real workflows for safer validation and faster time to market.

4. Virtual design and validation for military mobility

  • Proof-of-quality workflows for civil authorities before field release.
  • Safe testing of dangerous scenarios in simulation, including extreme and rare conditions.
  • Reduced development time and cost by limiting physical prototypes and field trials.
How We Work

From data capture to operational optimization

1. Capture GIS, on-site measurements and point cloud collection for a faithful asset model.
2. Build We build the high-fidelity 3D twin in an Unreal-based environment.
3. Connect We connect the twin to live data, sensors and operational flows for real-time awareness.
4. Simulate & Optimize We run simulations, AI analytics, anomaly detection and predictive maintenance for better decisions.

Target outcomes

  • Reduced operational and investment risk.
  • Higher uptime and better operational efficiency.
  • Validation of interventions before execution.
  • Improved ROI through data-driven planning.

Key capabilities

  • Stress testing for operational and emergency scenarios.
  • Anomaly detection and fault prediction.
  • Optimization for capacity, traffic, energy and maintenance.
  • Validation for autonomy, robotics and synthetic data pipelines.

Validation modules from military mobility projects

Digital Vehicle Twin methodology Driving dynamics model integration, 3D geometric model creation, real-world maneuver data collection, and model-to-measurement correlation for lateral, longitudinal and vertical dynamics.
Digital Environment Twin pipeline LiDAR/Camera/GIS scan-to-twin workflow in Unreal Engine with 1-2 cm accuracy, plus materials, HD textures, 3D objects and dynamic effects (sun, shadow, weather).
Further services and KPIs Scenario generation and integration, plus SLAM performance evaluation using Absolute Trajectory Error, Relative Pose Error, Loop Closure Detection and real-time processing speed.
Industries

Where TwinPath AI creates value

The platform is designed for complex environments where real-time visibility, simulation and risk reduction are essential.

Airports

Operational flows, safety, capacity planning and resilience.

Ports

Port logistics, traffic, maintenance and critical infrastructure monitoring.

Factories

Predictive maintenance, operational optimization and process simulation.

Cities

Urban operations, infrastructure, mobility, services and strategic planning.

Defense & military mobility

Virtual validation for autonomous and mission-critical systems with safer test coverage and faster deployment readiness.

Team

Team

TwinPath AI leadership team:

Mihai Nica

Mihai Nica

CEO and Founder

Mihai leads TwinPath AI's strategy and product execution, with a focus on operational digital twins for cities and critical infrastructure.

Franz Wotawa

Franz Wotawa

Co-founder

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 Vilcea

Andrei Vilcea

CDO

Andrei drives the data direction for TwinPath AI and coordinates data quality, governance and decision intelligence capabilities.

Contact

Let's build the next digital twin

If you want to discuss digital twins for cities, critical infrastructure, operational simulation or robotics validation, you can contact us directly by email.

Bucharest office Splaiul Independentei 294E, Bucuresti Sector 6, Romania
Graz office Inffeldgasse 16b, 8010 Graz, Austria

TwinPath AI logo

Real-time digital twins for safer, smarter and more efficient operations