Private AI
Control over data is a design decision.
We compare deployment options based on data, security, cost and operational capacity.
Let’s talk about the processCalling a solution private does not explain where data is processed, who has access or how it is maintained.
What we can build
Data requirements analysis
Architecture comparison
Access controls
Provider assessment
Operations and maintenance
How we put it into practice
We first define boundaries and operational responsibility. Then we compare cloud, on-premises and hybrid options.
Control and documentation
We define responsibilities, boundaries and a way to check how the system works.
Frequently asked questions
Does private AI require a local model?
Not necessarily. It depends on data processing, contracts, access and the operating model.
Which option is right?
The choice requires comparing requirements, performance, cost and maintenance resources.
Related guides
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Private AI: when should you run models on your own infrastructure?
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PORTOCELO NETWORKS
Could one of your processes work better?
You do not need to know whether the answer is AI, automation or software. Tell us how you work and we will explore a suitable approach.
Let’s talk about the process