An enterprise AI platform that stays under your control
IntraLLM brings AI models, enterprise knowledge, workflows and user-facing tools into one platform. Deploy on-premise or in the cloud, maintain control over sensitive data, and give your teams practical ways to put AI to work.
Built for enterprise control
Four reasons to build your AI capability around a platform you can shape, govern and extend.
1. 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.
2. 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 organisation with a platform built for real-world deployment, not experimentation.
3. 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 total cost of ownership that aligns AI investment with long-term business growth and strategic independence.
4. One connected AI environment
Bring together the layers enterprises otherwise assemble and maintain separately — deployment and compute, knowledge and models, agents and workflows, teams and applications — in a single governed platform.
How IntraLLM differs 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 customisation — train on proprietary datasets, enforce compliance filters, and align outputs with internal standards.
Works fully offline
IntraLLM operates fully offline when deployed behind your firewall or in restricted networks. No outbound network calls are required for inference, retrieval-augmented generation, or model management. This makes it ideal for:
- Government & Defence — controlled-traffic and export-controlled information.
- Healthcare & Life Sciences — regulated clinical and research environments.
- Financial Services & Banking — strict data-residency and audit requirements.
- Industrial & Manufacturing — operational-technology networks with IT/OT segmentation.
Enterprise features out of the box
IntraLLM is engineered for large-scale, regulated environments:
| Capability | What it gives you |
|---|---|
| Single Sign-On | Integrate with your existing identity providers. |
| User Groups & Role-Based Access Control | Granular permissions across users, groups, models, documents and tools. |
| Cluster Manager | Horizontal scaling, load balancing, and high-availability node orchestration. |
| GPU Monitoring & Cost Tracking | Real-time utilisation dashboards, allocation policies, and inference metrics. |
| Workflow Automation Engine | A visual pipeline builder for multi-step AI operations and integrations. |
| Evaluation Suite & Guardrails | Built-in quality checks and policy controls on AI behaviour. |
Training and model lifecycle
IntraLLM provides an integrated lifecycle for model adaptation:
- Fine-tuning — adapt models to your domain, tone, and tasks.
- Evaluation suite — measure accuracy, latency and adherence before deployment.
- Knowledge base manager — versioned document stores with access controls.
- Model comparison — side-by-side benchmarking across prompts, datasets, and back-ends.
All training and evaluation jobs are monitored from the platform with automatic retry and resource capping.
Ready to see it in action?
- Book a walkthrough at intrallm.ai — Ask for a Demo.
- Review Pricing & Licensing for deployment and licence options.
- Questions? See FAQ or Contact Us.