Enterprise AI
Your AI. Your servers. Zero data leaks.
Deploy custom LLMs on your own infrastructure in 72 hours. Your data never leaves your servers — no cloud, no compliance risk, no unpredictable API costs.
72h
Deployment time
10×
Lower latency vs cloud
100%
Data sovereignty
70–90%
Cost savings
The problem with cloud AI
Data leaves your servers
Every query to ChatGPT or Claude sends your data to a third-party cloud. Samsung, Apple, and JP Morgan banned it for a reason.
Unpredictable costs
Cloud AI APIs charge $15–60 per million tokens. At scale, costs spiral out of control with no warning.
Slow deployment
Standard on-premises LLM setup takes 3–5 weeks and requires 3–5 senior engineers.
Supported models
| Model | Vendor | Sizes | Best for |
|---|---|---|---|
| Llama 3.1 | Meta | 8B / 70B / 405B | General purpose AI |
| Mistral / Mixtral | Mistral AI | 7B / 8x7B / 8x22B | EU/GDPR compliance |
| Qwen 2.5 | Alibaba | 7B / 32B / 72B | Code generation |
| Command R+ | Cohere | 104B | RAG & document analysis |
| DeepSeek | DeepSeek AI | 236B (21B active) | Complex reasoning |
Ready to deploy your enterprise LLM?
We will assess your infrastructure and recommend the right model for your use case.