Infrastructure
- 1 Our Data Center SOC 2 audited Tucson facility
- 2 GPU Compute High-density racks, sustained loads
- 3 Private LLMs Open-weight models, your data only
- 4 RAG & Vector DBs Your knowledge base, AI-searchable
Your data stays in Tucson.
Two ways Login helps your business work with AI. We host the GPU compute, private language models, and RAG pipelines that power AI workloads — in our own Tucson data center, where your data stays under your control. And we sit with your team to find the work AI can actually automate, then build the integrations and applications that buy your hours back. No hyperscaler lock-in, no buzzword decks — just infrastructure and outcomes you can measure.
Open-Weight Models We Deploy
Deployable on our infrastructure — more model families supported on request.
Hosted infrastructure when you need our compute. Consulting and integration when you need our hands. Both run out of our Tucson data center.
Your data stays in Tucson.
Your team gets their week back.
Train, fine-tune, and run AI workloads on dedicated GPU hardware in our Tucson data center. Bring your own equipment and we provide the high-density power, cooling, and physical security designed for AI rigs — or rent capacity from our shared GPU pool. Either way your workloads stay in a SOC 2-aligned facility minutes from your office, not in a hyperscaler thousands of miles away.
Run open-weight models — Llama, Mistral, Mixtral, Qwen, and more — on our infrastructure under your control. Every prompt, document, and response stays inside our facility. No data is shared with model vendors, no training on your inputs, no surprise terms-of-service changes. The right fit for legal, medical, financial, and any workflow where the contents of your conversations matter.
Pay-per-call access to the most capable open-source models, hosted by us. You get the simplicity of a managed API — one endpoint, one bill, one number to call when something breaks — without renting a server you only use for a few hours a day. Ideal for teams testing AI features, building MVPs, or running spiky workloads.
A model on its own is generic. A model with access to your knowledge base, support tickets, contracts, and internal docs is a teammate. We design, deploy, and operate retrieval-augmented generation (RAG) pipelines and the vector databases behind them — whether that means a managed Qdrant, Weaviate, or pgvector instance in our data center, or integrating with an existing vendor.
Think about what your business could get done with 40 more hours a week. AI can buy your time back — but only when it’s pointed at the right work. We sit down with your team, audit where hours are getting eaten by repetitive tasks, then build the workflows, integrations, and custom applications that put those hours back on your calendar. No buzzwords, no "AI strategy decks" — just specific automations that ship and pay for themselves.
Healthcare, financial services, legal, and government clients need AI that lives inside their compliance perimeter — not on a public chatbot. Our facility is SOC 2 audited and built to support HIPAA-aligned workloads. We deploy private models, custom applications, and the supporting infrastructure in a controlled environment with the documentation auditors expect.
Where AI workflows we build can absorb hours in a typical 40-hour workweek. Estimates per employee — your mileage will depend on tooling, training, and which tasks you choose to automate.
Whether you need a few GPUs in our racks, a private LLM running on your documents, or a partner to figure out where AI actually fits in your operations — let’s talk. The conversation is free and we’ll tell you straight whether AI is the right answer for what you’re trying to solve.