Private AI Solutions
For data that can't leave your environment, Sabentech designs AI systems that run on private cloud or on-premise infrastructure.
Where this helps.
- 01Data that can't be sent to third-party AI APIs for regulatory or contractual reasons
- 02A need to keep model inference inside your own infrastructure
- 03Uncertainty about how to run AI workloads without relying on public cloud AI services
- 04Internal policy requiring data to stay within a defined boundary
What we can build.
On-premise & private cloud AI
Model serving and supporting infrastructure deployed inside your own environment.
Local model deployment
Running suitable open models within your infrastructure instead of an external API.
Data boundary design
Architecture that keeps sensitive data inside the perimeter you define.
Operational handover
Documentation your team needs to run and maintain the system internally.
How it connects.
Whatever we build connects to the systems already in place: APIs, databases, business software, cloud infrastructure or private infrastructure.
Depending on your constraints, systems can run in the cloud, in a private cloud, or fully on-premise.
How we work.
The same five-stage approach, applied to this type of engagement.
Understand
Design
Build
Deploy
Improve
Tell us what you're trying to build.
Send a short description of the problem and the systems involved. We'll reply with next steps, not a sales deck.