Self-Hosted LLM Infrastructure
For data-sensitive teams (healthcare, finance, defense, EU): local inference, RAG pipelines, and fine-tuning workflows on infrastructure you control.
- Outcome
- A working private AI stack on your cloud or on-prem
- Timeline
- 8–16 weeks
- Pricing
- $75–250k build, $10–20k/mo ops
- Buyer
- CTO, Head of Platform (regulated)
The problem
Your data can’t leave your environment — healthcare, finance, defense, or EU residency rules — so the hosted-API path is closed. But standing up private inference, RAG, and fine-tuning correctly is its own specialty.
What we do
- Stand up local or VPC inference sized to your latency and throughput needs.
- Build RAG pipelines over your private data with the right retrieval layer.
- Set up fine-tuning workflows so you can adapt open-weight models safely.
- Wire in observability and cost controls from day one.
What you get
01A working private AI stack on your cloud or on-prem
02RAG pipelines over your data
03Reproducible fine-tuning workflows
04Observability, access control, and cost controls
Built on our open source
fast-litellm — Rust acceleration for LiteLLM — faster connection pooling, rate limiting, and memory-intensive workloads.
Let’s scope it on a call
Thirty minutes with an engineer. We’ll tell you straight whether this is the right first move for your team.