Private LLMs that keep sensitive data inside your environment
Self-hosted or VPC model deployments when data residency requires it. Ask for architecture examples, we do not publish a dedicated case study yet.
What you get with Private & Self-Hosted LLMs
- Open-weight model selection (LLaMA, Mistral and others)
- Deployment in your cloud or on-premises
- GPU sizing and cost planning
- Access control and audit logging
- RAG on private documents
- Monitoring and updates
Private LLM Sizing Worksheet
GPU, hosting and cost estimate for open-weight models in your environment.
Phases, timelines and what you receive
Discover
Use-case scope, KPI baseline, data access plan
Pilot
Working pilot on real data with evaluation results
Production
Hardened, integrated, monitored system
Improve
KPI and cost reports, new use cases shipped
Get a plan for Private & Self-Hosted LLMs
A few fields, no sales script. We reply within 1 business day with next steps.
What we build with
Start small, with a clear decision point
Most AI work starts with a workshop or a 4-6 week pilot.
Frequently asked questions
Straight answers on cost, timelines, ownership and data.
For many focused tasks they are close enough, and data never leaves your environment. We benchmark on your tasks before you commit.
Mostly GPU hosting. We size it to your volume and compare it with API costs before building.
Ready to talk about Private & Self-Hosted LLMs?
Book a short call with a senior engineer. No pitch deck, just a clear next step.
- We reply within 1 business day.
- NDA available on request
- You own all code from day one