Custom LLM Deployment
Setup, installation, and configuration tailored to your environment.
Cloud, on-prem, or at the edge.
Same model, same governance, same control plane — sized and operated for the environment that fits your security, latency, and cost profile.
- On-prem for full data sovereignty
- Private cloud (AWS · Azure · GCP) for elastic scale
- Edge for offline + low-latency environments
Your data is unique. Your use cases are specialized. Your AI deployment should be too. At LLM.co, we don't believe in one-size-fits-all models. Our team delivers fully customized LLM setup and installation services—designed to meet your specific security, compliance, and operational needs. Whether you're a law firm, financial institution, healthcare provider, or government agency, we help you build, install, and fine-tune private AI infrastructure that fits your organization—not the other way around.
End-to-End Custom LLM Installation
Every organization has different tech stacks, privacy requirements, and user workflows. That's why we handle every aspect of the LLM deployment process—from architecture design to implementation and testing—with precision.
We start with a discovery and planning session to align the LLM installation to your infrastructure, use cases, and security posture. From there, our engineers configure your environment, install the appropriate open-source or proprietary models, and integrate your internal data systems, including knowledge bases, CRMs, or document stores. We ensure your LLMs run securely and perform reliably whether hosted on-prem, in your cloud, or in a hybrid setup.
What's Included In Your Custom Deployment
Your Custom LLM Setup Will Include The Following.
Architecture Planning & Secure Model Deployment
We begin with a deep-dive technical discovery to understand your infrastructure, compliance obligations, and business objectives. From there, we design a deployment architecture tailored to your environment—whether it's on-prem, in a private cloud, or hybrid. Our team then installs and configures your chosen open-source or licensed LLM, ensuring it's optimized for performance, isolation, and compliance from day one.
Custom Data Integration & Retrieval Pipeline Setup
Your internal data is your competitive edge. We help you ingest documents, structured files, and database records securely—tokenizing and embedding them into a private vector database of your choice (e.g., FAISS, Chroma, Qdrant). We also implement Retrieval-Augmented Generation (RAG) pipelines to enable intelligent document search, multi-document Q&A, and grounded generation—all powered by your proprietary knowledge.
Security Hardening, Access Control & Ongoing Optimization
Privacy and control are baked into every layer of your installation. We configure encryption protocols, role-based access controls (RBAC), and integrate with your existing IAM and SIEM systems. Once deployed, we run performance tests, validate outputs, and train your team on model usage, administration, and monitoring. If needed, we continue to support you with fine-tuning, scaling, or post-launch iteration.
Common questions
01What's the difference between a custom LLM installation and using a public AI service like OpenAI or Anthropic?
A custom installation means you own and control the entire AI stack—from the model weights to the vector database to the user access layer. Unlike public APIs, which require you to send data to someone else's cloud, our setup keeps everything in your environment. You avoid data leakage, ensure compliance, and can fully tailor the model to your business logic, internal systems, and workflows.
02Can you install the LLM on our on-premise servers or within our VPC?
Yes. We specialize in secure, private deployments. Whether you prefer air-gapped servers, a VPC on AWS/Azure/GCP, or a hybrid infrastructure, we adapt the installation to your needs. Our team collaborates with your IT and security leads to align the setup with existing access controls, network policies, and compliance requirements.
03What types of models can you install? Do we need a license?
We can install a wide range of open-source models like LLaMA, Mistral, or Mixtral, as well as support licensed models depending on your needs. If you already have a license for a proprietary model, we'll handle the setup and ensure it integrates with your systems securely. We help you choose the right model based on your performance, latency, and privacy requirements.
04How is our internal data integrated and used with the model?
We securely ingest your documents—contracts, SOPs, EHRs, support tickets, spreadsheets, and more—and embed them into a private vector database. From there, we configure a RAG pipeline that allows the model to retrieve and reference this data in real time. The data is never used to train the base model unless explicitly requested, and everything remains encrypted and fully under your control.
05Do you offer ongoing support, training, or post-installation services?
Yes. After installation, we provide hands-on training for your admins and users, ensuring your team knows how to operate, manage, and expand your system. We also offer optional support packages for continued optimization, scaling, or future fine-tuning based on your evolving needs. You'll never be left guessing how your system works or how to improve it.
Private AI On Your Terms
Tell us your use case and constraints — on-prem, cloud, or edge — and we'll map a compliant deployment within one business day.
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