01. Data and location
What information does the model need? Where is it processed and stored? We define the data journey and the environments involved.
Security and privacy
Trust starts
with clear boundaries.
Knowing where data is, who can access it and where it is processed. These are the questions we start with when designing your private AI.
Control comes first
Private by choice.
Designed
with care.
Architecture defines the boundaries. Configuration, operating procedures and agreements determine how those boundaries are protected over time.
Base processes data in the private cloud. Pro brings computing on-premises. In both cases, every data flow needs to be explicit.
Simplia Pro · on-premises architecture
Your businessData and applications
On-premises GPU serverLocal processing
AI applicationsIn your environment
Conceptual diagram. Configuration and flows are defined for each project.
What we define together
Security is designed.
In every detail.
02. Identity and access
Who uses the system, who administers it and who provides support. We define separate access by function, department and role. Search and AI agents must respect document permissions, including changes and revocations.
03. Protection and continuity
Encryption, updates, backups and recovery are assessed in the operational context. Measures and responsibilities must be documented in the project.
04. The data lifecycle
Retention, deletion, logs and data use by the services involved. Terms must be checked and formalised, including those relating to model training.
Explicit requirements.
Informed decisions.
If your business has location, access or isolation requirements, share them from the first meeting. They become criteria for choosing the architecture.
Actual measures and service levels depend on configuration and signed agreements. This page describes the design approach and does not claim specific certifications.
Your next AI.
On your terms.
We start with your processes, your data and your goals.