NEURECO
Automatic Parsimonious Neural Network Generation
NeurEco is an AI software designed to automatically generate compact, accurate, and interpretable neural networks from limited data.
Built for engineers and R&D teams, it enables the fast creation of predictive digital twins and significantly accelerates the deployment of artificial intelligence in industrial environments.
Workflow
A Faster AI Deployment Workflow
The lifecycle of a neural model is traditionally complex and time-consuming.
NeurEco transforms it into a streamlined three-step process that reduces development time and speeds up industrial integration.
Prepare Your Dataset
NeurEco requires very little data to perform learning. As a result, the data collection time is significantly reduced.
Build Your Digital Twin
Parsimony (minimal model) implies the automatic construction of the model. The default parameter settings in NeurEco yield good results.
Model Exploitation
There is no need to simplify the model; it is already minimal. We don’t need to perform quantization.
Product Modules
One platform, multiple modeling challenge
NeurEco provides specialized templates for the most common engineering problems — each producing deployment-ready, embeddable code.
Regression
NeurEco Tabular
Build predictive models mapping inputs to continuous physical outputs — ideal for surrogate models of simulation results.
FEA Surrogates
Material Models
Sensor Fusion
Classification
NeurEco Tabular
Supervised classification for discrete outputs — fault detection, regime identification, quality control.
Anomaly Detection
Quality Control
Diagnostics
Compression
NeurEco Tabular
Autoencoders compressing high-dimensional data (stress–strain fields, spectra) into compact latent representations.
SVD Acceleration
ROM Generation
Dim. Reduction
Efficient output for embedded systems
NeurEco Dynamic
Recurrent neural models for time-series and real-time control — handles quasi-chaotic behavior with long-term accuracy.
Battery
IMU
Engine Control
Robotics
Parametric Frequency Sweep
NeurEco PFS
Surrogate modeling of frequency-domain responses, S-parameters, and antenna characteristics over parametric sweeps.
Antenna Design
S-Parameters
EM Simulation
Convolutional Networks
NeurEco Grid
Spatial field prediction from geometry or mesh data — ideal for stress, temperature, and flow field surrogates.
Field Prediction
Mesh Data
Spatial Surrogates
Why NeurEco?
NeurEco enables engineers and industrial teams to:
Build predictive digital twins faster
Work efficiently with limited data
Deploy AI models directly on real systems
Keep models physically meaningful and interpretable
Keep models physically meaningful and interpretable
Trusted by Industrial Leaders and R&D Teams Worldwide
We work with leading industrial companies, research organizations, and engineering teams to deploy reliable and efficient AI models for real-world systems.
OUR CUSTOMERS
OUR PARTNERS
Get a Free Trial of NeurEco
See NeurEco in action and discover how parsimonious AI can transform your modeling workflow.
Contact our team to request a free trial and start accelerating your AI deployment today.