The Emotional Intelligence Layer for Adaptive AI
SOHMA develops AI infrastructure that enables systems to understand and respond to human emotional regulation during real-world interaction.
As AI systems become increasingly autonomous and interact directly with humans, a new infrastructure layer is required to ensure those systems respond safely to human behaviour and emotional context.
Inspired by how CAPTCHA helped train computer vision, SOHMA environments help generate the interaction data needed to train emotional intelligence for AI systems.
AI Can Reason, But It Struggles to Relate.
Artificial intelligence has made enormous progress in reasoning, language, and decision-making.
But most systems still struggle to interpret the behavioural and emotional signals that shape human behaviour and decision-making.
As AI systems increasingly interact directly with people in games, learning platforms, health tools, and conversational environments, understanding these signals becomes critical for safe and effective human–AI interaction.
SOHMA is building the emotional intelligence layer that helps AI systems interpret human behavioural context and respond appropriately.
From Human Interaction to Emotionally Intelligent AI
Human Interaction Environments
Games, learning platforms, wellbeing systems, and conversational environments generate interaction signals during real-world human activity.
SOHMA Emotional Intelligence Layer
These signals help train models that recognise behavioural patterns such as hesitation, escalation, disengagement, and recovery.
Adaptive AI Systems
The SOHMA layer enables AI systems to interpret behavioural signals and respond more appropriately to human emotional context across digital environments.
Collaborate with SOHMA
SOHMA is building emotionally intelligent AI infrastructure through a human-centred, ethical, transparent, and governed approach.
We work with governments, public institutions, industry partners, and research organisations exploring how AI systems can interact more safely and appropriately with people.
