Neurologyca, a pioneer in human-centric artificial intelligence, has announced the launch of Kopernica, a first-of-its-kind AI platform that utilises “multi-modal” inputs-a combination of real – time cognitive, vocal, and behavioural intelligence – to enable AI applications to “understand” human emotions.
By leveraging a blend of advanced technologies, the platform can detect and measure facial expressions, behaviours, mental states, indicators of stress and anxiety, and even the risk of acute medical emergencies such as strokes.
Kopernica is the most advanced AI platform to capture this level of emotional intelligence from humans and could revolutionise large language models such as ChatGPT, making them “emotionally aware” and able to adapt to human behaviours and feelings.
The technology has already been successfully tested and deployed in several partner projects, but will now be released as a purpose-built platform for developer integrations, mobile ecosystems, agentic platforms, and chip-level intelligence. A standalone, public-facing app will also be made available at a later date following the launch.
“Today’s AI systems understand what we say, but they cannot understand how we feel,” said Juan Graña, Co-founder and CEO of Neurologyca. “With Kopernica, we have created the human context layer that will empower these systems not only to capture nuanced human emotions, but to respond with empathy, adapt their behaviour, and genuinely enhance the human-machine relationship.”
Kopernica distinguishes itself from existing emotion-based AI solutions by harnessing “multi-modal” inputs such as vocal tone and micro-facial expressions, and can even build and assign personality traits that accurately detect attitudes and tendencies. This enables the platform to infer complex states such as cognitive load, motivation, attention, fatigue, and stress.
By enriching existing AI systems with this “human context” layer, Kopernica goes beyond the pattern-matching limitations of traditional large language models to deliver real-time empathic insights, adaptation to human needs, and a practical model for future human-machine collaboration.
The Kopernica platform also adopts Neurologyca’s “privacy by design” approach, which uses local, on-device processing and anonymised insights, ensuring that no identifiable user data is stored or shared without explicit consent.
Kopernica’s Innovations Include:
- Computer Vision: Unique 3D pattern recognition that monitors over 790 points of reference on the human body—seven times more than existing market solutions.
- Natural Language: A model that listens beyond words, capturing tonal and rhythmic patterns that reveal deeper emotional context.
- Personality Modelling: Continuously evolves with the user by learning emotional patterns, mood trends, and preferred interaction styles, enabling more personalised and empathetic engagement over time.
- Privacy By Design: Uses on-device, real-time processing with anonymised insights, ensuring that no identifiable data is stored or shared without consent.
- Multi-modal Signal Fusion: For the first time, visual, auditory, and psychological signals are used together to infer complex human states such as motivation, cognitive load, stress, and attention.
Potential use cases for the platform, which features “edge-ready” architecture for seamless integration, include wellness apps that track emotional and mental health signals, crowd sentiment analysis in high-traffic environments such as stadiums, and early indicators that could support the detection of medical conditions such as stroke risk.
The launch of the Kopernica platform coincides with the European-based company opening its first US office in San Francisco to meet demand from high-profile US-based technology firms.
The Kopernica platform has already been made available to select partners, with broader market availability expected in the second half of 2025.
“Our expansion into the US is an important milestone for Neurologyca,” commented Marc Fernandez, Chief Strategy and Operations Officer.
“We have already seen strong interest from AI leaders, wellness innovators, and infrastructure partners who recognise the potential of emotionally intelligent systems. Our presence in San Francisco will allow us to collaborate more closely with strategic partners and developers to build the next generation of human-centred AI.”
