An enterprise AI platform that
stays under your control
IntraLLM is an enterprise AI platform that brings AI models, enterprise knowledge, workflows and user-facing tools into one platform. Deploy on premises or in the cloud, maintain control over sensitive data and give your teams practical ways to put AI to work.
Move beyond disconnected AI experiments
Enterprise AI often starts with isolated tools, separate model providers
and proofs of concept that never become part of everyday work.
IntraLLM provides one foundation that teams can establish once, then expand
as new use cases move into production.
Scattered pilots
Separate tools, models and ownersOne foundation
Infrastructure, data and controls alignedProduction use
Repeatable AI across the organization
Why organisations choose IntraLLM
Four reasons to build your AI capability around a platform you can shape, govern and extend.

Complete Data Sovereignty, Zero Cloud Exposure
Deploy IntraLLM entirely within your corporate firewall. Your sensitive enterprise data never leaves your infrastructure, ensuring uncompromised security, regulatory compliance, and total operational control—without the privacy risks or data exfiltration concerns of third-party cloud AI vendors.

Escape Pilot Purgatory. Go Production-Ready.
Stop wasting time and budget on proof-of-concepts. IntraLLM plugs directly into your existing knowledge bases, operational systems, and workflows to turn raw enterprise data into actionable intelligence. Accelerate decision-making, automate complex processes, and scale AI impact across your organization with a platform built for real-world deployment, not experimentation.

Own Your Models. Control Your Spend. Break Vendor Lock-In.
Unlike cloud AI, IntraLLM gives you full ownership, custom trainability, and IP rights over your AI assets. Eliminate unpredictable API fees, usage spikes, and restrictive licensing with a transparent, enterprise-grade TCO that aligns AI investment with long-term business growth and strategic independence.
One platform, from infrastructure to everyday work
Bring together the layers enterprises otherwise assemble and maintain separately.
04
Teams & Applications
AI assistants with managed access and usage visibility
03
Agents & Workflows
Specialized agents, templates and repeatable workflows
02
Knowledge & Models
Approved models and connected enterprise knowledge
01
Deployment & Compute
On premises, in the cloud or on compatible infrastructure
Choose how to run IntraLLM fitting your organization
IntraLLM on Premise
Control the Environment
Deploy IntraLLM as a complete hardware and software solution within your own environment when data location, network isolation and direct infrastructure control are priorities.
Explore IntraLLM On PremisesIntraLLM Cloud
Access Flexible AI Infrastructure
Use IntraLLM with cloud-based AI infrastructure when your organization needs more flexible access to compute without hosting the hardware.
Explore IntraLLM CloudIntraLLM Software License
On the infrastructure you already own
Run the IntraLLM software on compatible infrastructure your organization already owns or manages.
Explore IntraLLM SoftwareFrequently Asked Questions
You can reach the IntraLLM team through Contact Us for sales or support inquiries. We’re here to help you get the most out of IntraLLM AI.
What is IntraLLM AI?
IntraLLM AI is an enterprise AI platform that brings together AI infrastructure, models, enterprise knowledge, workflows and user-facing AI tools. It is designed to help enterprises move from individual experiments to controlled, repeatable AI use.
Can IntraLLM AI run on premises?
Yes. IntraLLM AI can be deployed within an enterprise’s own infrastructure when data residency, network isolation or direct infrastructure control is required. Cloud-based deployment options are also available.
How does IntraLLM differ from cloud-based AI services?
Unlike SaaS AI services that route prompts and data to external providers, IntraLLM runs entirely within your infrastructure. This architecture ensures:
- Complete data sovereignty — Zero data exfiltration; all prompts, documents, and responses remain inside your network
- Full model control — Own the stack, fine-tune, update, or replace models without third-party dependencies
- Offline-first operation — Fully functional without internet connectivity or external API calls
- Deep customization — Train on proprietary datasets, enforce compliance filters, and align outputs with internal standards
Which AI models does IntraLLM support?
IntraLLM is model-agnostic and integrates seamlessly with a wide range of LLM and multimodal back-ends:
- Ollama — Run open-source models (Llama 3, Mistral, Qwen, etc.) locally with minimal overhead
- OpenAI-Compatible APIs — Connect to any REST endpoint following OpenAI’s schema
- Bring Your Own Model (BYOM) — Deploy custom or fine-tuned weights with full version control
- Multimodal Engines — Unified pipelines for text, vision, audio, and video processing
Model routing, A/B testing, and fallback configurations are managed directly from the IntraLLM dashboard.
What is the pricing model?
IntraLLM offers flexible, transparent licensing tailored to enterprise scale and deployment type. More details are available here.
Is IntraLLM suitable for large enterprises?
Yes. IntraLLM is engineered for large-scale, regulated environments:
- Single Sign-On (SSO) — SAML 2.0, OIDC, and LDAP integration
- User Groups & RBAC — Granular permissions across users, workspaces, and model endpoints
- Cluster Manager — Horizontal scaling, load balancing, and high-availability node orchestration
- GPU Monitoring & Cost Tracking — Real-time utilization dashboards, allocation policies, and inference metrics
- Workflow Automation Engine — Visual pipeline builder for multi-step AI operations, triggers, and integrations
Can I use IntraLLM without internet connectivity?
Yes. IntraLLM operates fully offline when deployed behind your firewall or in restricted networks. This makes it ideal for:
- Government & Defense (CUI/ITAR compliance)
- Healthcare & Life Sciences (HIPAA/GxP environments)
- Financial Services & Banking (PCI-DSS, SOX)
- Industrial & Manufacturing (OT/IT segmentation)
No outbound network calls are required for inference, RAG, or model management.
How does IntraLLM handle AI training?
IntraLLM provides an integrated lifecycle for model adaptation:
- Fine-Tuning — LoRA/QLoRA adapters, instruction tuning, and domain-specific alignment
- Evaluation Suite — Built-in metrics for accuracy, latency, toxicity, and adherence
- Knowledge Base Manager — Versioned document stores with access controls and audit logs
- Model Comparison — Side-by-side benchmarking across prompts, datasets, and back-ends
All training and evaluation jobs are monitored via the GPU dashboard with automatic retry and resource capping.