From your raw data to a deployed, production-ready AI model. Here is our proven process.
We start with a free consultation to understand your needs. What tasks should the AI handle? What does success look like? We scope the project and provide a clear quote.
You provide your data -- documents, conversations, examples, processes. We clean it, format it, and create high-quality training pairs. We can work with messy data.
We choose the optimal base model for your use case. Small and fast for real-time tasks, larger for complex reasoning. We match the model to your hardware constraints.
Fine-tuning on our GPU cluster using LoRA, QLoRA, or full fine-tuning. Multiple training runs with different hyperparameters to find the optimal configuration.
Rigorous testing against your benchmarks. We share results, gather feedback, and iterate until the model meets your quality standards.
Your model delivered in GGUF and safetensors formats with full documentation. We can deploy it on your infrastructure or ours.