Private AI, Fine-Tuned on Your Internal Knowledge
You’ve probably tried ChatGPT—and wondered: how do I make AI actually work with my business, my documents, my processes? That’s exactly where private, document-grounded AI comes in.
Why generic AI doesn’t cut it
Most enterprise knowledge sits in internal manuals, regulations, technical guides, contracts, and policies. But:
- New hires struggle to locate the right documents
- Even experienced staff waste time searching or asking colleagues
- Generic AI has no insight into your private data
Generic AI is smart—but it doesn’t know your world.
What makes private, document-grounded AI different
A private AI agent works inside your environment:
- Ingests your own documents—PDFs, Word files, internal knowledge bases
- Provides answers anchored with direct citations from those documents
- Runs locally (or in your private cloud), ensuring sensitive data never leaves your network
This isn’t another chatbot—it’s a real assistant grounded in your actual business knowledge.
The impact on real teams:
- Customer Support: Automatically answer customer queries using internal FAQs, troubleshooting guides, and policies
- HR & Training: Help staff quickly access HR policies, benefits details, onboarding materials
- Legal & Compliance: Look up contract clauses or regulatory requirements—complete with references
- Tech & Manufacturing: Pull from technical documentation and maintenance manuals to guide engineers
A smarter, practical approach to AI
This is about empowering your teams with:
- Security-first deployment (private, local, or air-gapped setups)
- Which AI model you prefer—OpenAI, Claude, Mistral, or a combination
- Automatic updates when documents change
- Seamless integration—whether via API or an embedded service within existing tools
In short:
Deploy a private AI fine-tuned on your internal knowledge—turn your buried documents into a powerful, accurate, and secure AI assistant.
Start using what you already have, and transform your information into conversational knowledge your teams can actually work with.
