Run Powerful AI
Inside Your Own Walls
Most enterprises can't send sensitive data to OpenAI or AWS Bedrock. ZippyOPS deploys, fine-tunes and serves open-source LLMs entirely within your own infrastructure — zero data exposure, full compliance, complete control.
What We Do
We handle every technical layer of a private AI deployment — from GPU server setup and model selection to RAG pipeline engineering, API gateway configuration and monitoring — so your team gets enterprise-grade AI without the security risk.
- Deploy LLaMA 3, Mistral, DeepSeek, Phi-3 and Gemma on your own hardware or private cloud
- GPU server setup, CUDA configuration and model quantisation (GGUF, AWQ, GPTQ)
- Model serving with Ollama, vLLM and TGI for high-throughput, low-latency inference
- RAG pipelines on your private data with LangChain, LlamaIndex and vector databases
- Fine-tuning on your domain data with LoRA and QLoRA for task-specific performance
- API gateway, authentication and rate-limiting for internal enterprise access
- HIPAA, GDPR and RBI-friendly — data never leaves your infrastructure
What You'll Walk Away With
A production-grade private LLM running inside your infrastructure in under 2 weeks
RAG pipelines connecting the model to your internal documents, databases and knowledge bases
Enterprise access layer — authentication, rate limiting and usage analytics
Full compliance — written confirmation that no data crosses your infrastructure boundary
Real Projects. Real Results.
View All Projects →Ready to Deploy AI Without the Risk?
Book a free Private AI consultation. We'll assess your infrastructure, recommend the right model and show you a working demo within a week.