Building Next-Gen Reasoning Models

Advancing Biologically Inspired, Interpretable AI

Today’s AI is powerful, but also brittle: expensive to train, hard to control, and unreliable when facing unfamiliar situations.

At NeuroMagix, we’re building a new class of reasoning models designed to overcome these fundamental limits.

Our architecture combines System 1 intuition with System 2 symbolic reasoning, creating AI that is compact, interpretable, energy-efficient, and capable of robust generalization.

Principles

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Energy- & Data-Efficient Intelligence

Algorithms designed to learn more from less — reducing compute, memory, and data requirements.

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System 1 + System 2 Fusion

Fast intuitive perception paired with structured symbolic reasoning for robust, verifiable decisions.

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Biologically Inspired Architecture

Modular processing, compact internal memory, and adaptive learning mechanisms modeled after the brain.

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