Our mission: Implementing Machine Learning workflows to elevate performance. Our algorithms turn sensors into intelligent systems that deliver sharper data and predictive insights.
“What is a number, that a man may know it, and what is a man, that he may know a number?”
Warren McCullouch
At its conceptual core, modern machine learning is fundamentally a human endeavor to mathematically replicate the principles of biological neural networks. This lineage is explicitly evidenced by the field’s foundational 1943 paper by Warren McCulloch and Walter Pitts, which proposed a simplified mathematical model of a neuron to explain logical thought. The direct architectural descendant, the artificial neural network, remains the central engine of deep learning.
A true neural network, as found in most living organisms.