NeurEco by Adagos

NeurEco – Smart AI for Engineering Applications

Compact. Accurate. Transparent.

NeurEco is an advanced AI tool designed for engineers who need reliable, data-driven models without the complexity of traditional machine learning.

Its core principle is parsimony, building neural networks that achieve maximum accuracy with minimal data, minimal parameters, and minimal computational effort.

The result: predictive models that are not only powerful but also energy- efficient, fast, and easy to interpret.

What makes NeurEco different

Unlike generic AI platforms, NeurEco was designed from the ground up for technical and physical data, whether experimental, operational, or simulated.

It runs locally on a standard workstation, with no need for cloud infrastructure, reducing both energy consumption and system dependencies.

The algorithm starts from a minimal network and grows only where needed. This adaptive process creates lightweight, highly reliable models with built-in estimation of generalization error and full reproducibility, a crucial feature for engineering validation and certification workflows.

The Workflow

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Engineering-focused flexibility

NeurEco supports a wide range of use cases, from regression and classification to dynamic modeling and data compression.

Ready-to-use templates enable quick deployment in simulation, testing, and operations.

It is ideal for:

  • Model calibration and optimization

  • Virtual prototyping and control validation

  • Scenario exploration and sensitivity studies

  • Real-time diagnostics and predictive maintenance

Why engineers choose NeurEco

  • Ease of use: results in hours, not weeks, no deep learning background required.
  • Resource efficiency: accurate models built with fewer data and less computation.
  • Operational reliability: consistent performance even under challenging conditions.
  • Explainability: clear understanding of how each variable contributes to the prediction.

Dipolo + Adagos: Engineering meets AI

Dipolo collaborates closely with Adagos, the French company behind NeurEco, to bring this technology into real engineering contexts.

As Adagos’ partner for integration, technical support, and applied development, Dipolo helps companies leverage parsimonious neural networks in simulation, testing, and control workflows.

Our role is to translate AI innovation into tangible engineering value, accelerating design, reducing data costs, and improving system reliability.

Together, Dipolo and Adagos make artificial intelligence accessible, explainable, and useful for engineers.

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