What is Relational AI?
Relational AI is a software layer above foundation models that turns raw intelligence into a long-term relationship. It adds persistent memory, continuity, identity and trust so an AI can meaningfully grow alongside a person across years.
What does Relational AI mean?
Relational AI is a layer built above foundation models. Where foundation models optimise for intelligence per token, Relational AI optimises for the quality of the relationship a person has with an AI over months and years.
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How is Relational AI different from a foundation model?
Foundation models are stateless by nature. Each request is, in essence, a fresh context.
Relational AI adds four capabilities that foundation models were not designed to provide: persistent memory, continuity, identity and trust.
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Why does persistent memory matter?
A relationship is defined by what is remembered between conversations. Without memory, every interaction restarts from zero.
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What are Souls?
A Soul is a specialized module that extends the Companion's capabilities when deeper domain expertise is needed — for example, Pain Soul for people living with persistent pain.
The person keeps the same Companion. Only the knowledge behind Lena evolves.
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Where is Relational AI going?
We believe Relational AI will become a distinct category in the AI stack, alongside foundation models and application-layer tools.
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