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
Energy- & Data-Efficient Intelligence
Algorithms designed to learn more from less — reducing compute, memory, and data requirements.
System 1 + System 2 Fusion
Fast intuitive perception paired with structured symbolic reasoning for robust, verifiable decisions.
Biologically Inspired Architecture
Modular processing, compact internal memory, and adaptive learning mechanisms modeled after the brain.
Join the waitlist
Be among the first to access our early research, demos, and developer tools.