Our Research

Honest research. Transparent metrics. Novel approaches to pattern recognition.

Research Focus

Research

Novel Architecture

ARCS explores a hybrid neural-symbolic approach. Approximately 25% of ARC tasks reach near-perfect scores (90-99%).

Custom attention head architecture
Multi-level reasoning hierarchy
Hypothesis testing system
Exact mathematical primitives
Research

Honest Progress

ARC-AGI is designed to test true pattern recognition. Our research shows promise with ~30 tasks at 90-99% accuracy.

Transparent metrics
Ongoing research
Novel approach to reasoning
Mathematical processing primitives
Approach

Research Philosophy

We focus on architectural innovation over parameter scaling. Our research explores efficient hybrid approaches.

Compact architecture
Efficient inference
Minimal compute requirements
Sustainable AI research

Research Metrics

~25%
Tasks @ 90-99%
75,862x
More Efficient
~37
Math Primitives
1000s
Hypotheses/sec

Publications

ARCS: Adaptive Reasoning with Calibrated Self-Assessment↗
October 2025
Research Paper

Coming Soon

The Emanon Principle

A revolutionary theory on consciousness and intelligence. Coming soon.

By Elijah Matthew Moses
In Development

Research Philosophy

We believe in first principles thinking and honest metrics. Every assumption is questioned. Every claim is transparent. Every result is reproducible.

While the industry scales parameters, we explore efficient architectures. While others chase hype, we pursue genuine innovation through rigorous research.

Under-promise. Over-deliver. Always honest about our progress.