NeurEco accelerates the deployment of AI. The lifecycle of a neural model can be broken down into three phases:
Step 1
Prepare Your Dataset
NeurEco requires very little data to perform learning. As a result, the data collection time is significantly reduced.
Step 2
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Build Your Digital Twin
Parsimony (minimal model) implies the automatic construction of the model. The default parameter settings in NeurEco yield good results.
Step 3
Model Exploitation
There is no need to simplify the model; it is already minimal. We don’t need to perform quantization.
At each of these phases, NeurEco offers a decisive advantage. All of these advantages point in the same direction: accelerating the deployment of AI models.
Please find our documentation here
NEURECO PRODUCTS
NeurEco Tabular
Neural models for regression, classification, and compression of tabular data.
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Recurrent models for highly accurate long-term dynamic predictions.
NeurEco Dynamic*
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Optimal solution for the design of antennas and resonant structures.
NeurEco PFS*
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* These products are available as add-ons to the core NeurEco Tabular solution.
