Our Mission
Our Mission
Preserve the future.
Make AI efficient.
Preserve the future.
Make AI efficient.
Learn More >
01 The Problem
01 The Problem
Current AI is built on an unstable foundation, where efficiency is an afterthought.
The result? Billions of dollars wasted on compute and resources, all to power an inefficient and bloated foundation.
This isn’t sustainable, so we are tackling the root of the issue.
Current AI is built on an unstable foundation, where efficiency is an afterthought.
The result? Billions of dollars wasted on compute and resources, all to power an inefficient and bloated foundation.
This isn’t sustainable, so we are tackling the root of the issue.
02 How we do it
02 How we do it
Astraea MX is the first model where efficiency is the top priority.
We call our method Adaptive Language Models (ALMs).
By dividing a single LLM into multiple subsections, where only one section remains active at a time, an ALM can respond using less than 3% of its full size.
The potential? Up to 3000% more efficient computing (F1 score over computational score) compared to current flagship models.
Our first model, currently in closed beta, will be the world’s first fully reformed neural network.
Astraea MX is the first model where efficiency is the top priority.
We call our method Adaptive Language Models (ALMs).
By dividing a single LLM into multiple subsections, where only one section remains active at a time, an ALM can respond using less than 3% of its full size.
The potential? Up to 3000% more efficient computing (F1 score over computational score) compared to current flagship models.
Our first model, currently in closed beta, will be the world’s first fully reformed neural network.
Astraea
© 2026 Astraea AI