AI-Powered Digital Twins
for Guided Wave Testing

Guided Twins strengthens the safety of critical infrastructures by delivering automated digital twins which fuse first-principles wave physics with AI.

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High-performance computing

Ultra-Fast Simulation

High-fidelity and scalable physics-based computations for wave propagation. Runs nearly 1000x faster than FEM!

Pipeline inspection

Pipeline Integrity

Automated damage detection and monitoring in buried, fluid-filled, and composite pipes

Railway monitoring

Rail Safety

Early-stage defect classification for railway infrastructure

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Challenge

Interpreting noisy and dispersive guided wave signals in large structures is still painfully slow and unreliable. Manual analysis requires extensive time and scarce expertise, often leading to false positives. As a result, operators face hidden damage, costly unnecessary excavations and inspections, and elevated safety risks.

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Our Solution

Our automated digital twin merges physics-based simulation with AI to generate rich synthetic training data and deliver real-time automatic defect classification without needing extensive real damaged samples.

Why Use Guided Twins?

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Ultra-Fast

Near-real-time quantification

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Accurate

Fuse simulation with ground truth

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Versatile

A broad range of inspection scenarios

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Reliable

Robust in complex environments

Guided Twins Technology

Combining cutting-edge wave physics simulation with advanced AI to revolutionize signal processing

Discover our solution

AI-powered Damage Reconstruction of structural damages using guided wave signals

Physics-Based Simulation

  • ▸ Ultra-fast, high-fidelity modeling using Model-Order Reduction and High-Performance Computing
  • ▸ Scalable synthetic data generation for hyper-realistic damages (corrosion, cracks, ...)
  • ▸ First-principles approach ensures physical accuracy with minimal experiments
  • ▸ Exact models for complex geometries and real-world environmental conditions

AI-Driven Analysis

  • ▸ Neural networks trained on millions of virtual scenarios
  • ▸ Automatic damage detection, localization, and classification
  • ▸ Synthetic-to-real data assimilation for robust predictions
  • ▸ Builds deep expert knowledge by learning from every new user case

Designed for Challenging Environments

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Non-Accessible Areas

Hidden, dangerous, or harsh environments

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Non-Piggable Structures

Where traditional tools cannot pass

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Complex Environments

Buried, fluid-filled, immersed, or composite pipes

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Rails & Structures

Railway tracks and slender components

Technical Advantages

No need for extensive measurements campaigns

Generate comprehensive training datasets through physics-based simulation

Complex conditions

Robust under noise, temperature, load, and geometry variations

Large-area coverage

Exploits multi-modal and multi-frequency signals for maximum inference capability with minimal hardware

Meet Our Expert Team

Three co-founders from Inria combining expertise in wave physics, AI, and computational methods

Alvaro Gavilán-Rojas

Alvaro Gavilán-Rojas, Ing., PhD

Tech Orchestrator & Project Leader

PhD from Inria and Université de Sherbrooke (2025), Alvaro specializes in wave-based methods and ultra-fast simulations for architected periodic waveguides. With a background in civil engineering (Universidad de la Asunción) and computational mechanics (Univ. Gustave Eiffel), he bridges physics and AI for real-world applications.

He drives the technical vision, R&D roadmap, and physics-AI integration behind Guided Twins — delivering scalable, high-speed guided wave testing solutions for civil infrastructure.

LinkedIn Scholar
Aymeric Orhan

Aymeric Orhan, Ing., PhD

AI Whisperer & Software Architect

PhD from ENS Paris-Saclay / CEA-List (2025), Aymeric brings expertise in AI for robotics, synthetic-to-real data assimilation, and robust prediction in cyber-physical systems. Trained in robotics engineering and numerical optimization at IMT Atlantique.

He leads software architecture and AI integration at Guided Twins, building neural networks that fuse experimental data with physics simulations to create reliable, high-accuracy diagnostic tools for guided wave testing.

LinkedIn Scholar
Christophe Droz

Christophe Droz, Ing., PhD, HDR

Innovation Catalyst & Scientific Advisor

Tenured Inria research scientist since 2021 (HDR 2024), Christophe holds a PhD from École Centrale de Lyon (2015, Airbus Helicopters industrial doctorate) and has worked at LTDS and KU Leuven. He pioneered computational reduction methods and digital twins for metamaterials in aerospace applications.

At Guided Twins, his decade of experience in physics-driven synthetic data generation shapes the scientific foundation and strategic positioning — enabling next-generation, reliable technical solutions.

LinkedIn Scholar

Our Credentials

Academic Excellence

  • •Co-founding team with engieering PhDs from top institutions with industry
  • •Inria Startup Studio-backed project with pre-validated core IP
  • •Pioneering physics-AI fusion for ultra-fast wave simulations and digital twins
  • •International recognition, awards and scientific leadership in computational wave dynamics

Industry Experience

  • •Proven track record turning complex physics into deployable diagnostic tools
  • •Hands-on experience bridging synthetic data with real-world structural health monitoring
  • •Established intrustrial partnerships for tech demonstration
  • •Full-stack execution: from scientific vision to production-grade software architecture

Vision & Values

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Our Vision

AI grounded in first-principles physics will redefine the physical world.

With Guided Twins, the revolution begins at the backbone of modern society: safe, resilient infrastructure.

We pioneer next-generation Guided Wave Testing powered by physics-informed Digital Twins — delivering predictive, ultra-reliable structural intelligence at unprecedented scale and precision.

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Trustworthy people build trustworthy products

Excellence, integrity, and radical transparency are non-negotiable. We trust our team completely — so our partners and customers can too.

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Maximal utility for customers and society

We obsess over creating outsized value through disruptive technology. Reliable infrastructure is not optional — it is the foundation of a thriving, sustainable civilization.

We don't just inspect assets.

We make the built world fundamentally safer, smarter, and more enduring.

Try Our Solution

Ready to revolutionize your infrastructure monitoring? Get in touch to test our technology.

Use Cases

Get More from Your Existing GWT Setup

Unlock hidden damage and precise residual thickness from your current equipment and datasets — no new hardware required.

Push the Limits of Guided Wave Testing

Develop advanced actuators/sensors or extend your standard equipment to long-range and inaccessible zones.

Test Before You Deploy

Virtually evaluate GWT performance on your real assets and use cases before any on-site investment.

Bespoke Digital Twins for Your Needs

We build fully customized Digital Twins for your unique infrastructure — from exotic materials and extreme environments to highly complex geometries that standard solutions cannot handle.

Challenging Use Cases

Pipe junction
Pipe burried in soil

Ready to Get in Touch?

Contact us to discuss how Guided Twins can transform your structural health monitoring with AI-powered digital twins.

contacts@guided-twins.fr 📋