We focus on small language models (from sub 1b to 10b) fine-tuned on specific tasks, domains and reasoning patterns, for inference and embeddings.
> benefits
* high precision for domain-specific tasks * cost-effective processing due to lightweight models * high performant RAG * unparallel privacy potential * modularity * energy efficiency * low latency * high throughput * deployability in edge devices
> applications
* code analysis * mathematical and logic reasoning * micro-semantic analysis * protein folding * classification and entity detection * finance and legal analysis * quantitative research * bioinformatics * NLP for niche domains * on-premise offline AI
> CURREnt STATUS
building in stealth mode. express interest.
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