Models. Apps. Research. One ecosystem, built from the ground up.
Language Model with Rotary Positional Embeddings, Grouped-Query Attention, and SwiGLU activation. Custom training infrastructure built in-house.
Content moderation and safety systems designed for real-world deployment. Available as a local model or via API, giving you flexibility without compromising on safety.
Consumer and developer-facing products built on top of the Mistyoz AI ecosystem.
App Store
Coming soon
Coming soon
Coming soon
Custom tokenizers and training datasets built to support every model in the Mistyoz ecosystem. And other cool stuff.
We present CosmicFish-HRM, a compact language model built around a Hierarchical Reasoning Module that dynamically allocates reasoning compute during inference. Instead of applying fixed computation to every input, the model iterates through high-level and low-level reasoning cycles and learns when to halt based on input complexity. Our results show that the model learns non-uniform reasoning behavior, suggesting adaptive reasoning depth as a promising alternative to relying solely on parameter scale.
Every component, every optimization, every model, every breakthrough. No shortcuts, no fine-tuned wrappers. Pure architecture from a blank slate.
About the company →No pre-trained weights. No adapter layers. Every model begins from a blank slate, trained on carefully curated data with custom objectives.
Proprietary tokenizers, custom training loops, and hand-built datasets. Our infrastructure is as original as the models it produces.
Models built to run locally, protect privacy, and deliver real-world utility without any cloud dependencies or data exposure.
Interested in our models, research or tools? We would love to discuss potential collaborations.