Service · Private & Self-Hosted AI Hosting
Private AI hosting for businesses whose data cannot leave the building.
Most AI tools work by sending your data to someone else's model. For businesses handling client information, proprietary knowledge, or regulated data, that trade-off is not acceptable. We deploy Ollama, Open WebUI, and private LLM stacks on infrastructure you control, so your documents stay yours.
Helix Stax deploys and operates private AI infrastructure for businesses that need AI capabilities without sending data to a vendor model. The work covers the full stack: LLM selection and deployment via Ollama, Open WebUI for team access, vector database setup for RAG pipelines, n8n workflow integration, and ongoing operations. The result is an AI tool your team uses daily, on infrastructure you own and control.
We run this stack in production for our own operations. Ollama, Open WebUI, pgvector, and n8n AI agent workflows are active in the Helix Stax platform today. When we recommend a model or an architecture, the reason is that we operate it. Private AI hosting is delivered remotely and serves clients nationally, not just Hampton Roads.
Key service areas
What the work looks like.
- LLM selection and deployment: open-source model scored against your use case, hardware, and data-privacy requirements, installed and tested before your team touches it
- Ollama setup and configuration: model management, quantization selection, and GPU or CPU inference tuned to your hardware
- Open WebUI deployment: team-facing chat interface with user management, conversation history, and model switching
- RAG pipeline build: retrieval-augmented generation against your documents, runbooks, or knowledge base using pgvector or Chroma
- n8n AI workflow integration: private AI models wired into your existing workflows and automation stack
- Ongoing operations: model updates, hardware monitoring, and capacity planning inside a managed retainer
Named engagements inside this capability
How this shows up as a scoped engagement.
Ollama & Open WebUI Deployment
The fastest path to a working private AI stack. We install Ollama, select the right quantized model for your hardware, deploy Open WebUI for team access, and configure user management. The result is a working tool your team can use the same day, not a proof of concept.
- Hardware assessment: CPU vs GPU inference, VRAM requirements, and a sizing recommendation before any purchase
- Model selection: open-source LLM scored against your use case (general chat, code assist, document summarization) and your hardware
- Ollama installation and configuration on Linux, with systemd service, automatic restart, and basic monitoring
- Open WebUI deployment with HTTPS, user accounts, model access controls, and conversation logging
RAG Pipeline & Knowledge Base
A RAG pipeline connects your private AI model to your documents, runbooks, or structured data, so the model answers questions about your business, not just the public internet. We build the ingestion pipeline, configure the vector database, and integrate the retrieval layer into Open WebUI or your custom front end.
- Document ingestion pipeline: PDFs, Word documents, Markdown, and web content processed and stored as vector embeddings
- Vector database setup: pgvector on PostgreSQL or Chroma, configured for your document volume and query patterns
- Retrieval integration: the vector search wired into the model prompt so answers cite the relevant document and section
- Maintenance runbook: the process for adding new documents, re-indexing changed content, and monitoring retrieval quality
AI Workflow Integration
A private AI model that only lives in a chat interface misses most of the value. We wire the model into your n8n workflows so it can summarize inbound emails, classify support tickets, draft responses, or process documents as part of an automated pipeline, without sending data to a vendor.
- n8n AI node configuration: Ollama API wired into existing or new n8n workflows with error handling and retry logic
- Use-case build: one documented workflow connecting the private model to a real business process (ticket triage, email summarization, document extraction)
- Prompt library: the prompts that produce reliable output for your use case, documented and version-controlled
- Monitoring and alerting: workflow failure alerts and basic model health checks so silent failures get caught
How we engage
Scoped deployment or ongoing operations.
Private AI hosting runs as a scoped Engagement (install and hand off) or as an ongoing Operate retainer (we manage the infrastructure, you use the tool).
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vCIO Retainer
Advisory on which AI use cases fit a private stack, which fit a vendor API, and which are not ready for either. We help you make the build-vs-buy call with real numbers, not vendor slides.
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Helix Engagement
We install the stack, configure the model, build the first RAG pipeline or workflow integration, and hand off a documented environment. You own the hardware and the configuration.
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Helix Operate
Ongoing management of the private AI stack: model updates, hardware monitoring, capacity planning, and new workflow builds as your use cases grow. The AI is a managed layer, not a one-time project.
What you walk out with
Concrete deliverables.
- A hardware sizing recommendation: CPU vs GPU inference, VRAM requirements, and the specific hardware we recommend before any purchase
- A running Ollama and Open WebUI stack with HTTPS, user accounts, and the right model for your use case
- A RAG pipeline against your document corpus with a tested retrieval quality check
- One documented n8n AI workflow connecting the private model to a real business process
- A deployment runbook: how the system was built, how to add models, how to add documents, and how to restart services after a failure
Honest scope
What we do not do.
We do not fine-tune or pre-train foundation AI models. We deploy and operate existing open-source models. We do not guarantee model accuracy or output quality, no one can do that honestly. We do not build full custom AI applications from scratch at the infrastructure tier; scoped workflow builds and RAG pipelines are in scope but full application development is not. We do not sell GPU hardware; we size it and you purchase it. We do not offer 24/7 AI monitoring at the Engagement tier, that is Operate scope.
Industries we apply this to
Where this service shows up most.
- Legal Practice management, a document portal, and the spreadsheet your senior partner will not give up.
- Healthcare EHR, billing, scheduling, and patient comms in four systems that almost talk to each other.
- Government Contracting The flow-down email wants your CMMC posture by the next option year. The audit floor is closer than you think.
- Distribution A WMS that only talks to the ERP through a nightly export that breaks every other Friday.
You can have the number by Friday.
The free call is free, and the only thing you walk out with is your CTGA score and the three gaps that cost you the most. If we are not the right fit, you keep the score and we both move on.