Why IntraLLM

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.

CONTROL PLANE

IntraLLM

One operating environment
Teams
Agents
Workflows
Models
Knowledge
Infrastructure
From experiment to operation

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 owners

One foundation

Infrastructure, data and controls aligned

Production use

Repeatable AI across the organization

Built for enterprise control

Why organisations choose IntraLLM

Four reasons to build your AI capability around a platform you can shape, govern and extend.

Secure enterprise AI deployment in a datacenter, represented by a padlock and compliance symbols.

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.

IntraLLM enterprise AI platform moving a proof of concept into CRM, ERP and production systems.

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.

A connected AI environment

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


Deployment Choice

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 Premises

IntraLLM 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 Cloud

IntraLLM Software License

On the infrastructure you already own

Run the IntraLLM software on compatible infrastructure your organization already owns or manages.

Explore IntraLLM Software

Frequently 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.