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.
Read the article →Prifina builds the foundation. Souvéa works for you. AI Twin represents you. Two products, one set of principles.
An architecture argument is only worth as much as the products built on it. Prifina runs two in market, and they are separate products. Neither requires the other.
Souvéa connects the information a person chooses, works with different AI models, creates agents and supports private or shared Spaces. It is the everyday test of whether a personal record is genuinely useful.
AI Twin turns approved knowledge into something that can answer for a person when they are unavailable. It cites, it stays inside scope and it knows when not to answer. More than 2,000 AI Twins have been created.
Both products rely on the same principles: the person decides where data is stored, which AI can use it, where processing takes place and what becomes shared.
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Every service that rebuilds a person's context creates another dependency. A persistent layer removes the need to rebuild it at all.
Read the article →The first era learned from pooled records. The next level may require learning alongside a person whose record never moves.
Read the article →Storage and processing are different choices. Treating them as one hides the decision that matters most.
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