What is IntraLLM?
IntraLLM is an enterprise AI platform that brings AI models, enterprise knowledge, workflows and user-facing AI tools into a single platform. Deploy on-premise or in the cloud, maintain control over sensitive data, and give your teams practical ways to put AI to work.
IntraLLM integrates AI directly with your enterprise knowledge, data assets, and operational systems. It converts information into actionable intelligence — accelerating decision-making, automation, and business growth while ensuring complete data sovereignty.
Problems being solved
Businesses are spending too much time and money exploring in-house AI and still end up stuck in pilot mode. IntraLLM solves this by removing the barriers that stall enterprise AI programmes:
- Loss of control — keep every prompt, document, and model inside your environment.
- Security and data sovereignty — no data leaves your network. No third-party exposure.
- AI-model ownership and trainability — own your models, fine-tune them on your data, and replace or upgrade them freely.
- Cost — eliminate unpredictable per-token API fees and usage-spike billing.
One platform, from infrastructure to everyday work
IntraLLM brings together the layers that enterprises otherwise assemble and maintain separately:
| Layer | What IntraLLM provides |
|---|---|
| Deployment & Compute | On-premise, private cloud, or IntraLLM Cloud. CPU and GPU workloads, cluster management, GPU monitoring. |
| Knowledge & Models | Model repository and builder, bring-your-own models, fine-tuning, knowledge bases with Retrieval-Augmented Generation (RAG). |
| Agents & Workflows | A visual workflow builder, agentic automation, skills, and tools that act on your systems. |
| Teams & Applications | Chat, templates (Work Station), document processing, image/video generation, user groups, and governance. |
Deployment options
- On-premise / Intranet — run entirely inside your own network (recommended). Works fully offline.
- IntraLLM Cloud — a full stack deployed on dedicated machines when you need flexible access to GPU compute without hosting hardware yourself.
- Bring your own infrastructure — licence IntraLLM to run on compatible hardware your organisation already owns.
Why organisations choose IntraLLM
- Complete data sovereignty, zero cloud exposure. Deploy entirely within your corporate firewall. Sensitive data never leaves your infrastructure — meeting security, regulatory and compliance requirements without the privacy risks of third-party cloud AI.
- Escape pilot purgatory. Go production-ready. Plug directly into your existing knowledge bases, operational systems and workflows to turn raw enterprise data into actionable intelligence.
- Own your models. Control your spend. Break vendor lock-in. Full ownership and custom trainability over your AI assets, with a transparent enterprise-grade total cost of ownership.
- Built for the enterprise out of the box. Single Sign-On, user groups and role-based permissions, cluster manager for horizontal scaling, GPU monitoring, an evaluation suite, and guardrails for ethical, compliant AI.
Model-agnostic by design
IntraLLM works with a wide range of language and multimodal back-ends:
- Open-weight model services — run popular open-source models (such as Llama, Mistral and Qwen families) locally with minimal overhead.
- OpenAI-compatible APIs — connect to any external provider that follows the OpenAI-compatible schema.
- Bring Your Own Model (BYOM) — import and serve custom or fine-tuned weights with full version control.
- Multimodal engines — unified pipelines for text, image, audio and video.
Model routing, comparison and fallback configurations are managed directly from the platform.
Who is this guide for?
This documentation covers everything an enterprise team needs:
- Everyday users — see the User Guide: chat, templates, documents, media and workflows.
- Administrators — see the Administrator Guide: connections, models, users, permissions, guardrails and licensing.
- Deep divers — see the Reference Guide for option-by-option tables of every setting.
Use the navigation on the left to move between sections, and the table of contents on the right to jump between sections of a page. Start with Getting Started if you are new to the platform.