Thesis6 min read
Why AI's next era needs a personal intelligence layer
Every service that rebuilds a person's context creates another dependency. A persistent layer removes the need to rebuild it at all.
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Technology5 min read
Where should a personal AI request be processed?
Storage and processing are different choices. Treating them as one hides the decision that matters most.
Where personal information is stored and where an AI request is processed are separate decisions. Products often present them as a single setting, which leaves people unable to see what they actually agreed to.
Two questions, not one
- Where is the personal record kept: a personal device, a selected cloud environment, private infrastructure or systems inside a chosen country or region.
- Where is a given request processed, and does that answer change depending on which model is used.
Once both are visible, a person can make sensible trade offs. Some requests are best handled close to the device. Others benefit from a larger model elsewhere, with only the information needed for that request.
A foundation that keeps storage and processing visible lets a person decide, rather than assume.
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Research5 min read
From centralized data to intelligence that learns with individuals
The first era learned from pooled records. The next level may require learning alongside a person whose record never moves.
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How Souvéa and AI Twin test the Prifina foundation
Prifina builds the foundation. Souvéa works for you. AI Twin represents you. Two products, one set of principles.
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