PRIVATE AND ON-PREMISE AI
AI where your data can remain under your control.
We design AI for sensitive information, intellectual property, and internal constraints.
Architecture follows what may leave, what must stay, and what the system must do.SIGNALS
When information creates real boundaries.
- Sensitive information or intellectual property.
- Policies limiting external services.
- Confidential research or documents.
- Data residency and controlled access.
- Data that cannot leave the environment.
- AI without exposure to public services.
We do not assume regulatory requirements. We validate them with each organization.
ARCHITECTURE DECISION
We do not start by choosing a model.
Local is not always superior. External, private, or hybrid depends on the process and constraints.
WHAT WE CAN DESIGN
Control proportional to the information and process.
Local models
Inference within the environment when the design requires it.
Hybrid architecture
Each component runs where its constraints allow.
Internal agents
Private tools and systems with defined access.
Controlled integration
Access, data, and actions bounded by the process.
We do not promise absolute security, automatic compliance, or universal isolation.
R&D CASE · AUTHORIZED EVIDENCE
Research assistance without sending sensitive information to external cloud services.
Internal restrictions prevented public external services. We implemented an agent with a fully local, closed model.
Explore the R&D case