Fine-tuned on YOUR documents, not generic training data. Company docs, policies, runbooks, product info. Your private LLM becomes your institutional knowledge base.
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Fine-tuning takes a base language model and trains it on your company's documentation, policies, and institutional knowledge. The result is an AI that understands your business context, terminology, processes, and standards.
Ingest PDFs, Word docs, Markdown, text files, wikis, databases, and more. We handle format conversion and preprocessing.
Training happens entirely within your AI in a Box infrastructure. Your data never leaves your network. You own the model.
Your AI understands company-specific terminology, acronyms, processes, and standards. No more generic hallucinations.
Set up a pipeline for incremental training. Add new documents as your business evolves. Monthly or on-demand retraining.
We test the fine-tuned model against sample questions from your domain to ensure accuracy before deployment.
Initial fine-tuning in 3-5 business days. Incremental updates in 24-48 hours once the pipeline is established.
We sign NDAs before accessing any company data. Your documentation is treated as confidential trade secrets.
Training happens on-premises or in your private cloud. No external API calls. No third-party training services.
You own the fine-tuned model weights. Export, backup, or migrate to different infrastructure anytime.
We don't just train and disappear. Monthly model updates, performance tuning, and expansion to new document sources.
Off-the-shelf LLMs don't know your company's policies, product names, or internal processes. Fine-tuning fixes this.
Base models will make up answers about your business. Fine-tuned models cite your actual documentation.
Company knowledge lives in employee heads, scattered docs, and tribal knowledge. Fine-tuning consolidates it.
New employees spend weeks learning company-specific knowledge. A fine-tuned AI becomes their instant reference.
We can fine-tune on virtually any text-based business documentation including company policies, HR handbooks, product manuals, technical runbooks, SOPs, troubleshooting guides, sales playbooks, customer support FAQs, internal wikis, engineering specs, and historical support tickets. Documents can be in PDF, Word, Markdown, plain text, or extracted from databases and knowledge bases.
No. Fine-tuning happens entirely within your private AI in a Box infrastructure. Your training data never leaves your network. We use secure transfer methods under NDA for initial data ingestion, then all training runs locally on your dedicated GPU server. You maintain full control and ownership of both the data and the resulting fine-tuned model.
Initial fine-tuning typically takes 3-5 business days after data preparation. This includes data preprocessing, training run configuration, actual training (usually 8-24 hours depending on dataset size), validation testing, and deployment. Incremental updates for new documents can be completed in 24-48 hours once the initial pipeline is established.
Absolutely. We set up a continuous fine-tuning pipeline so you can add new documents, policies, or knowledge as your business evolves. You can run incremental training on a schedule (weekly, monthly) or on-demand when you have significant new content. The process is streamlined after initial setup.
RAG (Retrieval-Augmented Generation) searches your documents at query time and feeds relevant snippets to the model. It's great for factual lookup but doesn't teach the model your business language. Fine-tuning actually modifies the model's weights, teaching it your terminology, writing style, and reasoning patterns. We recommend both: RAG for factual accuracy, fine-tuning for domain expertise.
Minimum viable fine-tuning can start with as few as 50-100 high-quality documents. More data generally produces better results. Most companies have hundreds to thousands of pages of policies, procedures, and documentation that can be used. We'll work with you to identify the highest-value sources and prioritize what to include in the initial training.
We'll review your documentation sources, estimate training timeline, and provide a fixed-price quote.