We are entering an AI-native world.
Every interface now embeds intelligence.
Every platform becomes conversational.
Every agent participates in interaction.
When two entities communicate —
You no longer just have information exchange.
You have a relational system.
And relational systems determine outcomes.
Today’s AI stack measures:
But it doesn’t measure:
AI understands content.
It does not understand connection.
As AI systems increasingly influence human decisions, collaboration, and wellbeing, this gap becomes structural.
Relational dynamics are no longer a soft skill.
They are infrastructure.
RQ extends beyond IQ (cognitive intelligence) and EQ (emotional intelligence).
It measures interaction quality.
RQ models:
Not just how someone feels — but what is happening between entities.
RQ is the observability and optimization layer for dyadic systems.
For over 40 years, the Gottman Institute has developed and validated scientific models of relational dynamics.
Gottman Method research has:
Gottman AI operationalizes this science.
We are not inferring relational patterns from surface data alone.
We are translating decades of validated behavioral research into AI systems.
Relational Intelligence is not theoretical.
On GottmanConnect.com, relational insights power tools, training, and guided experiences used by clinicians and consumers worldwide.
These systems operate in live environments supporting real relationships.
The same relational infrastructure can extend to:
As AI becomes embedded in interaction, relational measurement becomes foundational.
We believe AI systems must be attuned, not just intelligent.
We are building the infrastructure layer for high-EQ and high-RQ systems.
Sign up at https://gottmanai.com for access to our beta playground and API — powering the next generation of builders creating relationally aware AI.
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