Our technology
Model Fine-Tune & Deploy
From base model to a specialised small model on your edge hardware: fine-tuning, evaluation, quantisation and rollout with hardware-in-the-loop checks.
We start from open base models and fine-tune on your data against acceptance criteria you define. Evaluation is reproducible and reported per screen, device or site.
Deployment targets your hardware: robot controllers, industrial PCs, on-site servers. Each release is regressed overnight on real devices and rolled out with a traceable evidence bundle.
Research on arXiv
- LoRA: Low-Rank Adaptation of Large Language Models
- QLoRA: Efficient Finetuning of Quantized LLMs
- GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
Used in
See it on your own data
We start with an MVP on your screens, devices or tickets. Request an MVP and bring a real use case.
Request MVP