LLM fine-tuning
We fine-tune open models such as Llama, Qwen and Mistral on your data (LoRA, QLoRA, full SFT). It learns your company’s language, documents and rules.
Model training
LLM fine-tuning, image model training, embedding models for enterprise search: the Oxisec team runs it from data preparation to deployment, and training runs on our H100 and A100 class servers. The model is yours.
Services
We start from open-weight models, shape them with your data and measure with your own test set.
We fine-tune open models such as Llama, Qwen and Mistral on your data (LoRA, QLoRA, full SFT). It learns your company’s language, documents and rules.
We train an embedding model and re-ranker for your documents and build a secure question-answering layer.
We train models such as Stable Diffusion and Flux for your products or brand; LoRA and DreamBooth pipelines.
Small, fast models for jobs like spam scoring, document classification and demand forecasting.
We measure the model with your test sets, run hallucination and data-leak tests and report the results.
We serve the trained model as an API on our GPU server or hand it over with its weights to your environment.
Hardware
Multi-GPU servers, high-bandwidth memory and fast NVMe storage. The same infrastructure for a one-hour fine-tune and for training that takes days.
Process
We collect, clean, label the data together and mask personal data.
Experiments run on our GPU servers; we share each run’s metrics with you.
We measure with your own test set; we do not deploy before the target is met.
API or hand-over; if you wish, Oxisec EYE keeps watching the model’s quality and cost.
Data security
Two ways
Our team runs it from data preparation to deployment; fixed scope and quote.
Request a quoteRent the same GPU servers by the hour; Ubuntu, SSH and Jupyter come ready.
Rent a GPU serverDescribe your dataset, goal and timeline; we come back with scope, GPU time and a quote.