🎯 When small is the strategy, not a compromise

Parsimonious neural network

Many AI solutions turn to TinyML or AutoML to shrink large models or automate training. But these approaches are often built on algorithms originally designed for very large networks.

With NeurEco, we followed a different philosophy.

Our learning algorithms are designed from the ground up to make the most out of very small models: models that are compact, fast, and require minimal data.

Because when small is the goal from the start, you get:

⚡ Faster training and inference

📉 Better generalization with limited data

📦 Seamless deployment, even in embedded environments

No need to compress, prune, or simplify. NeurEco is efficient by design and robust in production.

🔗 Discover more at https://www.adagos.com/

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