Private AI
AI within boundaries you define.
AI systems privately hosted so your data never leaves your organization's own infrastructure.
An internal document assistant
What need does it address?
Sensitive data requires clarity on where models, applications and data flows run.
01 / Example use
An internal document assistant
- 01
Define infrastructure boundaries
AI application · Model serving · Data and search
- 02
Deploy models and data
Document processing · Local index · Storage layer
- 03
Validate access and operations
Authentication · Access records · Resource monitoring
The AI application runs in the chosen environment with documented data paths and defined access.
02 /
Inside the solution
01Privately hosted LLM↗
An internal document assistant
We design model serving and applications for the selected infrastructure, assessing hardware and licensing requirements.
02Data isolation↗
An internal document assistant
We define processing and storage paths, explicitly addressing external dependencies and network boundaries.
03Access control↗
An internal document assistant
We limit user and service access, considering identity, logging and monitoring with the operational plan.
03 /
How does it fit your organization?
Model licensing, hardware, network boundaries, retention and operating responsibilities are agreed together.
Connection points
- REST API
Hosting options
- Self-hosted
- On-premise
- Hybrid
Connections and deployment options are confirmed after reviewing your systems.
04 /
Frequently asked questions
Is this a separate application?
Private AI is a hosting and control approach. Knowledge assistants, search and document processing can be designed to run with this architecture.
Can it work without internet access?
Offline deployment can be assessed when models, components and dependencies support it. Updates, licensing and operations are reviewed separately.
Open-source tools to consider
Private AI
Start with your needs.
Share your current process and desired outcome so we can define a suitable starting scope together.