Private LLM deploys
Run open models on your servers or air-gapped hardware — no data leaves your infra.
// solutions · llm & vlm solutions
Large language & vision models, on your infrastructure.
Private LLM and vision-language deployments, fine-tuned on your data and running inside your own network. Read and extract from documents and invoices, answer questions over your knowledge base with RAG, and understand camera scenes — all without sending a single token to a third party.
100%
private / on-prem
Fine-tuned
on your data
Docs + vision
understanding
// what you get
Private models. Your data, your rules.
Open large language and vision-language models, fine-tuned and deployed inside your network — so intelligence comes to your data instead of your data going to someone else's cloud.
Fine-tuning
Adapt a base model to your domain, tone and terminology for sharper answers.
RAG pipelines
Ground answers in your own documents so the model cites facts, not guesses.
Document AI
Extract fields from invoices, forms and contracts into clean structured data.
Vision-language
VLMs that read camera scenes, screenshots and scanned pages, not just text.
Guardrails
Access controls, redaction and logging so sensitive data stays protected.
// how we build it
From your data to a private model in four steps
-
01
Scope
We map your use case, data sources and privacy and compliance constraints.
-
02
Build
Select or fine-tune a model and wire up RAG over your knowledge base.
-
03
Deploy
Ship it on-premises, air-gapped or in a private cloud you control.
-
04
Improve
Monitor quality and retrain as your data and needs evolve.
// who it's for
Built for teams with sensitive data
If your documents, records and knowledge can't leave your network, a private LLM and VLM stack puts modern AI to work without the compliance headache.
Banking & Insurance
Legal
Healthcare
Manufacturing
Government
Accounting & Finance
Customer Support
Research
// faq
Questions, answered
Does my data leave my network?
No. The whole point of a private deployment is that models run on your servers or air-gapped hardware, so prompts and documents never go to an external provider.
What is RAG?
Retrieval-augmented generation grounds the model in your own documents: it retrieves the relevant passages first, so answers are based on your facts and can cite their source.
Can you fine-tune a model for us?
Yes. We adapt a base model to your domain, tone and terminology, which improves accuracy on your specific tasks.
What are VLMs used for?
Vision-language models read images as well as text — extracting fields from scanned invoices and forms, describing camera scenes, or answering questions about screenshots and documents.
Which models do you use?
We work with leading open models so you keep full control and avoid lock-in, choosing the right size for your accuracy, speed and hardware budget.
Put a private model to work on your data.
Tell us your use case and constraints. We'll scope a private LLM or VLM deployment that runs entirely inside your infrastructure.