Sovereign
Run open foundation models on your own infrastructure: use them as-is, fine-tune them, or deploy fully air-gapped when policy requires it.
Frontier AI on your terms.
Open foundation models: use them, customize them, or run them fully sovereign in your own infrastructure.
Highly efficient models
On-prem: prompt runs inside your VPC
Why FrontiersMind
The same principles behind our models, sovereignty, adaptability, and efficiency, shape how we research, train, and ship.
Run open foundation models on your own infrastructure: use them as-is, fine-tune them, or deploy fully air-gapped when policy requires it.
Need a model for your domain? We work with teams on custom datasets, training, and delivery so the stack matches your product, not the other way around.
Our research focuses on attention and caching architectures that reduce memory and bandwidth at decode time, for practical gains in real deployments.
Research
We publish core architecture work with the global open-source community.
Shared key-value heads for multi-query attention, a practical way to shrink KV cache footprint and cache-read traffic while keeping strong model quality.
Read the paperStores grouped values and reconstructs content keys with a learned linear map, cutting persistent cache scalars versus matched GQA while staying near benchmark parity.
Read the paperModels
Open weights on Hugging Face, ready to evaluate, fine-tune, or deploy in your environment.
Custom models
Tell us about your use case, data constraints, and deployment target, and we’ll help you scope training and delivery.
Reach out at support@frontiersmind.ai.
Careers
Mail us your exceptional work if you have done it. We don’t look at resumes.
Contribute to attention architecture research, training experiments, and open publications alongside the FrontiersMind research team.
Mail careers@frontiersmind.aiDrive research on model architecture, training, and open publications with the FrontiersMind research team.
Mail careers@frontiersmind.aiPartners