Meet ERAIS
One system.
Room to grow.
ERAIS brings specialist skills together, shares what matters and adapts how much work it does. It is an architecture for AI that keeps building on what it has learned.
In plain English
Use the right skill.
Spend the right effort.
Understand what is happening.
Language, vision and audio contribute to a shared picture of the world.
Bring in the specialists.
Routing selects expert components. More stored knowledge does not mean every expert must run on every task.
Think further when it helps.
Adaptive computation controls how much effort to spend, including revisiting a problem through recurrent processing.
Two ways to build learned capability.
Train it natively. Bring it across with Fracture. Develop the pieces within the same architectural programme.
Learn from the beginning.
Our native language model learns directly from bytes, without a fixed text tokenizer.
Try native language ↗FractureBuild on knowledge that already exists.
Analyse learned model components, partition them into experts and recover their capabilities in the adaptive system.
Explore Fracture ↗Continuous cognitionKeep a world in mind.
Connect observations, memory, actions and outcomes beyond a single prompt and reply.
Follow the organism ↗Real execution.
An expanding frontier.
ERAIS has trained native language models, executed converted speech components and carried vision through its shared-world path.
Each result advances the same goal: a capable, efficient system that can grow through modular expertise.
See the latest measured resultsInspect the experimentsWant the deeper explanation?
Explore the architecture, current research, observatory and technical evidence.