Enterprise LLM Fine-Tuning & Model Customization

I will deliver a complete enterprise-grade LLM fine-tuning engagement — from initial strategy and data audit through dataset engineering, training run management, alignment optimisation, evaluation benchmarking, and production deployment — producing a privately hosted, domain-adapted language model your organisation owns outright and can operate without ongoing dependency on external API providers. This is the most comprehensive fine-tuning engagement I offer, designed for organisations ready to invest in proprietary AI capability rather than perpetually renting generic model access.

The engagement covers a discovery phase (use case mapping, data audit, base model selection, infrastructure planning), dataset engineering (up to 2,000 training examples prepared from your source materials), supervised fine-tuning run with hyperparameter optimisation, DPO alignment pass using preference data collected during the build, comprehensive evaluation benchmarking against your domain-specific quality criteria, inference API development, Docker containerisation, and private cloud deployment with monitoring and logging configured. All source data, model weights, and infrastructure remain entirely under your control.

This service is designed for enterprises, regulated industry organisations, and well-funded startups that require a custom, privately deployed language model — built to their specifications, trained on their data, and delivered with the documentation and infrastructure to operate it long-term.