Secure & Customizable Private LLMs for Agentic AI in Regulated Industries
Spin up a private LLM in minutes with full access, fine-tuning, and no vendor lock-in. Your model, your rules, your infrastructure. Keep your legal, medical, manufacturing and corporate private data sovereign, secure, and fully auditable with private AI built for enterprise.
We Work With Most Large Language Models
Agentic AI LLM Focused on Enterprise Privacy & Security
Collaborative Access Control
Project Sharing
Save LLM Chats
Choose Your Large Language Model
Enterprise AI Software Features
Custom Hardware
Run your own LLM appliance with full offline capability, edge-ready design, and no external dependencies.
Deploy in secure, air-gapped environments
Supports major open-source LLMs out of the box
Portable, powerful, and privacy-first
No reliance on cloud APIs or third-party hosting
Multi-document Retrieval & RAG
Ask complex questions and get intelligent answers—sourced from thousands of documents in real time.
Retrieve from PDFs, Word docs, spreadsheets, and more
Combines LLM power with high-accuracy document recall
Ideal for legal, research, and internal ops teams
Zero trust: no external data exposure
Secure by Design
Privacy and compliance are built into every layer of the LLM.co stack—from hardware to inference.
End-to-end encryption at rest and in transit
Role-based access controls and audit logging
Fully isolated deployments for regulated industries
HIPAA, SOC 2, and GDPR-ready infrastructure
Bring Your Own Data (BYOD) From Almost Anywhere
Seamlessly ingest your internal documents—PDFs, emails, spreadsheets, knowledge bases, and databases—to train or augment your private LLM. Fine-tune models on your proprietary content to ensure responses are relevant, context-aware, and aligned with your organization’s unique voice and workflows. Your data stays private, encrypted, and fully under your control.
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Enterprise-Grade Governance & Control
Operate your private LLM with the confidence and oversight required by the most demanding industries. From automated document classification to fine-grained user permissions and real-time audit logging, every action is trackable, every access point is secure, and every interaction is accountable. LLM.co ensures that your AI infrastructure aligns with strict compliance, security, and data governance standards—by design.
Customer Testimonials
Don't take our word for it. Learn from our LLM customers.
Jessica M.
Partner, National Litigation Firm
Monica T.
EHR Systems Analyst
Patrick K.
Director, Health IT
Michael R.
Medical Records Manager
Aaron D.
Director, Legal Innovation
James R.
Senior Systems Engineer
Private LLM Blog
Follow our Agentic AI blog for the latest trends in private LLM set-up & governance
Frequently Asked Questions
Here is a list of some of our most frequently asked questions (FAQs) about private LLMs
A Private LLM is a large language model that you host and control—either on your own hardware, within your own private cloud, or through an isolated deployment managed by LLM.co. Unlike public APIs (like OpenAI or Anthropic), private LLMs allow you to run inference, fine-tuning, and data ingestion without sending sensitive information over the internet to third parties. This gives your team full control over data privacy, security, cost, and model behavior. You can also tailor the model to your domain-specific language and regulatory needs, something that’s either restricted or entirely unavailable with public LLM providers.
Security is core to everything we build. Whether you're deploying in the cloud, on-prem, or using our hardware appliance, your data remains fully encrypted in transit and at rest. Our platform supports role-based access controls, audit logging, private model training, and zero internet dependencies when deployed offline. For regulated industries like healthcare, finance, and legal, our architecture is designed to meet and exceed compliance frameworks like HIPAA, SOC 2, GDPR, and ISO 27001. We also support optional air-gapped installations, ensuring absolute data isolation for clients with the most stringent requirements.
Yes. One of the biggest advantages of using LLM.co is the ability to fine-tune or augment a model using your proprietary data. You can start with open-source foundation models (like LLaMA, Mistral, or Mixtral), or bring your own, and then layer on your own documents, contracts, emails, call transcripts, and knowledge bases to improve output quality. We support fine-tuning as well as retrieval-augmented generation (RAG), allowing you to keep the base model intact while enhancing its contextual awareness of your specific domain.
LLM.co offers flexible deployment options—from lightweight hardware boxes for edge or offline environments to full GPU-powered clusters for enterprise-scale use cases. If you don’t want to manage infrastructure yourself, we also offer cloud-hosted private instances with GPU acceleration. For clients that want the highest level of control and privacy, our LLM Box provides a plug-and-play, fully offline solution capable of running large models in secure, air-gapped settings. We’ll work with you to choose the right setup based on your use case, data volume, and performance requirements.
We provide a robust API, SDKs in multiple languages, and integrations with popular tools like Slack, Notion, Salesforce, SharePoint, and n8n.io. You can also build custom workflows using our agentic AI infrastructure, which allows the model to query databases, summarize emails, draft documents, and even trigger automated actions across your internal software. Whether you’re a legal team looking to analyze contracts or an IT department building a secure internal search assistant, LLM.co makes it easy to integrate private AI directly into your existing tech stack.
Still have questions?
Get in touch with one of our expert LLM sales engineers to discuss your specific private AI needs
Private AI On Your Terms
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