Private AI

AI Without Handing Over Your Data

For most enterprises, the blocker to adopting AI isn’t whether it works — it’s where the data goes. Public AI APIs mean your proprietary documents, customer records, and trade secrets leave your control, cross borders you may not be allowed to cross, and often help train a model you’ll never own. For regulated, sensitive, or competitive workloads, that’s a non-starter.

Private AI removes the trade-off. RapiNova deploys production AI inside your own environment — so you get the capability of modern language models without ever surrendering your data. We already run private AI at scale across our own platforms; we bring that same infrastructure discipline to yours.

Deploy AI Where You Control It

We meet your security posture, not the other way around:

• Your private cloud — deployed into your AWS, Azure, GCP, or VPC, isolated from the public internet
• On-premise — running in your own data centre or servers, under your physical control
• Air-gapped — fully disconnected environments for the most sensitive workloads
• Hybrid — sensitive inference kept private, non-sensitive workloads burst to the cloud

Models Trained on Your Data — and Owned by You

A generic model guesses; a model tuned on your business knows. We fine-tune open-weight models on your proprietary data for accuracy in your domain — support histories, technical documentation, contracts, product catalogues — and the resulting model belongs to you. It runs on your hardware, improves on your terms, and never leaves to train a competitor’s system. Where fine-tuning isn’t needed, retrieval-augmented generation grounds a private model in your live knowledge base instead.

Grounded, Governed, and Auditable

Enterprise AI has to be trustworthy, not just clever. Every private deployment includes role-based access, encryption, data-residency controls, and full audit logging, with guardrails and human oversight designed in. You can put it in front of regulated and proprietary workloads because you can prove exactly what it did and why.

From Assessment to Production

Private AI is where our AI consulting and AI automation practices meet infrastructure. We assess the use case, choose the right model and deployment, prove it on your data, and take it to production inside your walls — one accountable partner from first workshop to a running, monitored system. If you want AI you can trust with your most sensitive data, this is how it’s done.