Keep sensitive data local
Run private workflows on a device inside your office instead of sending records, files, or conversations to a third-party AI service.
Private AI deployment in the Research Triangle
On-premise AI deployment for privacy-sensitive businesses
Deploy useful AI inside your office, on hardware you own, with models and access controls configured around your real workflows.
What this makes possible
Own the hardware and models
Use open-source models on hardware you control, without per-user AI subscriptions or a proprietary platform dependency.
Give staff browser-based access
Employees use the AI from familiar devices on your office network, with access controls configured for the way your team works.
A practical on-premise AI deployment
Enclave Compute starts by identifying workflows where privacy, reliability, or recurring software costs make local AI especially valuable. The AI Readiness Assessment maps those workflows, produces a written deployment plan, and demonstrates candidate tools on your own data.
If you move forward, we install a pre-configured AI appliance in your office, configure models and access controls, and connect the system to approved internal tools. Staff receive hands-on training and 30 days of included go-live support.
Local-first, with selective internet access
Core local AI functions can continue without an internet connection. When an approved workflow needs an external service, PII Guard can detect and remove personal identifiers before a request leaves the network, then restore the original details locally when the response returns.
This local-first design is useful for healthcare practices, law firms, accounting teams, consultants, and other organizations that want to adopt AI without treating every document as cloud-ready.
See whether local AI fits your workflow
A free 20-minute call is enough to identify a practical first use case and decide whether an on-premise approach makes sense.
info@enclavecompute.net