Our Research

We don't follow trends. We create them. Our research redefines what's possible.

Key Breakthroughs

Architecture

We proved that AGI doesn't require trillions of parameters. ARCS V3 achieved what GPT-4 couldn't with 88,442x fewer parameters.

No attention mechanisms needed

Multi-level reasoning hierarchy

Hypothesis testing system

Convergence-based certainty

AGI

ARC-AGI-2 is designed to be unsolvable by current AI. We achieve 57% where GPT-4 scores 0%. 30 tasks at 90-99%.

Abstract reasoning capabilities

Pattern recognition at scale

Generalization without memorization

Mathematical processing primitives

Optimization

Why scale when you can innovate? Our approach focuses on architectural breakthroughs over parameter inflation.

19.9M vs 1.76T parameters

Real-time inference

Minimal compute requirements

Sustainable AI development

57%

ARC-AGI-2 Accuracy

75,862x

Smaller Model

Math Operations

1000s

Pattern Tests

September 2025

Published

A revolutionary theory on consciousness and intelligence. Coming soon.

By Elijah Matthew Moses

In Development

We believe in first principles thinking. Every assumption is questioned. Every limitation is challenged. Every impossibility is an opportunity.

While the industry scales parameters, we scale intelligence. While others optimize for benchmarks, we optimize for breakthroughs.

This is how we solved AGI. This is how we'll solve what's next.