Emotional Intelligence for Artifical Intelligence
We read the psychology in the conversations you already record, and flag the customers who have already decided to leave.
Accepting a limited number of pilot partners in subscription services, telecom, and consumer platforms.
What We Do
The conversation that loses the customer rarely sounds like one. It is an ordinary service call, handled correctly, where nobody says anything about leaving. Equilibria reads those conversations against a research base built on 60,000 empirical interviews, and flags the customers whose trust has already broken, including the invisible states that standard sentiment tools score as neutral.
The emotional state behind the words, not the tone of them.
A single quantified score for how far this customer has moved from equilibrium.
Which customers have decided to leave, while there is still time to keep them.
The specific response most likely to restore the relationship, matched to the values at risk.
Our Approach
Standard sentiment tools return a label. Equilibria AI returns a diagnosis.
We start with the recordings you already have. We identify the emotional state present, measure how far the customer has drifted on a quantified scale, identify the counter-emotion that restores balance, and recommend the response most likely to keep them. Every output is grounded in a framework built through 60,000 empirical interviews, not inferred from text patterns or language model training data.
The result: higher save rates, fewer cancellations, and customers kept who would otherwise have left without a word.
Identify recurring patterns that indicate loyalty, drift, or a customer already on their way out.
Map how emotions shift over time, and what triggers or stabilizes those shifts.
Connect emotional states to the decision that matters most: whether the customer stays or goes.
Core Capabilities
Built on a proprietary behavioural research base developed over ten years and built through 60,000 empirical interviews across hundreds of emotional states and behavioural configurations, Equilibria models how emotion moves through a conversation and links it to the decision that follows, well beyond basic sentiment detection.
Identify recurring emotional configurations across interactions to reveal patterns that indicate customer readiness, resistance, or risk.
Map and detect how emotional states shift over time, and understand what triggers or stabilizes those critical transitions.
We score the transcripts your contact centre already produces. Nothing to rip out, nothing to rebuild.
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Unlike any other CX AI platform, Equilibria is built on an exclusively licensed emotion-value framework: an empirically model that maps not just how a customer feels, but which personal values are activated, and what behaviour follows.
Use Cases
Our focus is subscription businesses where a customer can leave at any time and a single mishandled conversation costs a recurring revenue stream: telecom, home services, security monitoring, consumer platforms, and other high-volume service operations.
Spot the customers drifting during ordinary service calls.
Give your save team the psychological read on who they are talking to, and what would actually keep them.
Enable AI-powered tools to respond with contextual emotional intelligence, not just scripted responses.
Why Equilibria AI
Most CX AI tools classify customers as positive, negative, or neutral. Equilibria AI deploys a complete, quantified theory of human psychology — one that detects invisible emotions standard NLP cannot see, measures psychological displacement on an empirical scale, and recommends the specific intervention most likely to restore balance.
Our system is built on an exclusively licensed emotion-value framework: a proprietary model mapping emotional states to personal values, predicted behaviours, and de-escalation pathways. It took 60,000+ empirical interviews to build. It cannot be bought off the shelf or replicated from language models alone.
We translate this into the number the retention team is measured on every week: save rate.
A lift of half a percentage point would pay for the entire contract.
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Built on years of research and proprietary methodologies that create lasting competitive advantage.
We start with your existing recordings, so there is no integration project and no waiting for IT.
We model how emotion moves, flag the customers at risk of leaving, and surface the response most likely to change the outcome.
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Combining rigorous research with practical application, built responsibly from the ground up.
CONTact
