The platform uses “multi-modal” inputs – a combination of real-time cognitive, vocal, and behavioural intelligence – to allow AI applications to “understand” human emotions. Using a combination of advanced technologies, the platform will be able to detect and measure facial expressions, behaviours, mental states, markers for stress and anxiety, and even the risk of acute medical emergencies such as strokes.
Kopernica is said to be the most advanced AI platform to capture this level of emotional intelligence from humans and could help to revolutionise LLMs such as ChatGPT to make them “emotionally aware” and able to adapt to human behaviours and feelings.
The technology has already been successfully tested and deployed with 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 future date following the launch.
"Today’s AI systems understand what we say, but they can’t understand how we feel," said Juan Graña, Co-founder and CEO of Neurologyca. "With Kopernica, we’ve created the human context layer that will empower these systems to not only capture nuanced human emotions, but respond with empathy, adapt their behaviour, and genuinely enhance the human-machine relationship.”
Kopernica differentiates 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 can accurately detect attitudes and tendencies, which allows 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 confines of traditional LLMs to deliver real-time empathic insights, adaptation to human needs, and a workable model for future human-machine collaboration.
The platform also adopts Neorologyca’s “privacy by design” approach, which uses local, on-device processing and anonymised insights without storing or sharing any identifiable user data without their explicit consent.
Kopernica’s innovations include:
Computer Vision: Unique 3D pattern recognition that monitors over 790 points of reference on the human body – 7x 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 personalized and empathetic engagement over time.
Privacy By Design: Uses on-device, real-time processing with anonymised insights, ensuring no identifiable data is stored or shared without consent.
Multi-modal Signal Fusion: The first time visual, auditory, and psychological signals have been 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 like stadiums, and early indicators that could support detection of medical conditions such as stroke risk.
Launch of the Kopernica platform comes as the European-based company opens its first US office in San Francisco to meet the demand from high-profile US-based technology companies. The Kopernica platform has already been made available to select partners, with broader market availability coming 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’ve 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.”
