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Predictive Digital Twins

NeurEco
AI for Engineers
NeurEco Software: Physics-Based Neural Networks for Engineering

Powered by a core scientific principle: parsimony, the most compact model that remains accurate.

Our software NeurEco

Physics-driven AI

Predictive digital twin

Long-term prediction

Small data

User-friendly

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NeurEco supports you throughout the entire V-Cycle
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Bridging the gap between simulation and the real system

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Parsimonious DoE: fewer tests, more insight

Turn monitoring data into a predictive digital twin

NeurEco: unified digital twin
NeurEco transforms operational data into simulation-based decision tools
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How NeurEco Works

Step 1

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Prepare Your Dataset

Use sensor, simulation, or experimental data, even small datasets.

Step 2

Build Your Digital Twin

NeurEco generates a fast, efficient predictive model.

Step 3

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Get Reliable Prediction

Make accurate, real-time decisions with confidence.

Our customers

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What our clients say

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"I’ve worked with Adagos on several projects using their NeurEco software: drift detection, fast meta-models, and virtual sensors. Their responsiveness, adaptability, and data-efficient approach — with no hyperparameter tuning — make them a key partner for future control system applications."

Stéphane Lagarde

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"We were very satisfied with our collaboration with Adagos. With limited data, their NeurEco Dynamic toolbox accurately modeled our system’s dynamics. Their integration of cell aging into anomaly detection and strong involvement made the project especially effective."

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"La technologie proposée par Adagos nous a permis d’obtenir de bons résultats sur notre cas d’usage.

Par ailleurs les échanges avec l’équipe ont toujours été réactifs et constructifs."

Richard Skrorek

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"The stakes are high in embedded systems. We closely monitor innovation through top universities and start-ups. Yet the breakthrough came from Adagos, with a truly unique approach. We see them as a game changer in this field."

Michel Rochette

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"The application of NeurEco to our predictive maintenance project was very interesting. These results are remarkable because the data is rather scarce."

Predictive Digital Twins, Designed for Engineers

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