Use Cases
See What Kailyra Can Do To Transform Your Business
Have a look at some of our work
Neutron Spectrum Unfolding using Machine Learning
We applied advanced ML models (MLP, Bayesian methods, Genetic Algorithms) to reconstruct neutron energy spectra from activation data. Models were trained using synthetic data generated via SERPENT and validated against AMANDE experimental reactor data.
Impact :
80% reduction in manual spectral analysis effort
Improved unfolding accuracy over classical methods
Used for criticality assessment and safety planning
Legal-Tech & AI Strategy
Led consulting on legal attribution, AI responsibility, and compliance. Managed AI teams building ethics-first tech tools and advised institutions on responsible AI deployment.
Impact :
Co-authored one of the first LLM attribution legal-tech papers
Provided strategic consulting for AI compliance in EU settings
Managed interdisciplinary AI teams across law, tech, and research
Personalized Diet Programs, Workouts and Health Monitoring
LOWCAL is a full solution (Mobile apps, website and AI Integrated features) that helps the user have the most diet program suitable with his body type and health situation. In addition to water and steps trackers, meals and medicine reminders, workouts and many other features. It has a smart data analyzer that reads from a weight scale.
Impact :
0% Human interaction with the platform
More user's satisfaction
95% Lead Accuracy
CiTIUS, University of Santiago de Compostela (Spain)
AI-Based Control for Shape Memory Alloy (SMA) ActuatorsDeveloped LSTM models to predict and control SMA actuator behavior, integrating thermal-strain hysteresis into soft robotic systems. The solution was used in a neurosurgical robotic prototype and a test bench built with CiTIUS.
Impact :
60% improvement in actuation precision
Enabled real-time SMA-based robotic joint control
Bridged experimental data with theoretical models for robust control
Neutron Spectrum Unfolding using Machine Learning
We applied advanced ML models (MLP, Bayesian methods, Genetic Algorithms) to reconstruct neutron energy spectra from activation data. Models were trained using synthetic data generated via SERPENT and validated against AMANDE experimental reactor data.
Impact :
80% reduction in manual spectral analysis effort
Improved unfolding accuracy over classical methods
Used for criticality assessment and safety planning
Legal-Tech & AI Strategy
Led consulting on legal attribution, AI responsibility, and compliance. Managed AI teams building ethics-first tech tools and advised institutions on responsible AI deployment.
Impact :
Co-authored one of the first LLM attribution legal-tech papers
Provided strategic consulting for AI compliance in EU settings
Managed interdisciplinary AI teams across law, tech, and research
Personalized Diet Programs, Workouts and Health Monitoring
LOWCAL is a full solution (Mobile apps, website and AI Integrated features) that helps the user have the most diet program suitable with his body type and health situation. In addition to water and steps trackers, meals and medicine reminders, workouts and many other features. It has a smart data analyzer that reads from a weight scale.
Impact :
0% Human interaction with the platform
More user's satisfaction
95% Lead Accuracy
CiTIUS, University of Santiago de Compostela (Spain)
AI-Based Control for Shape Memory Alloy (SMA) ActuatorsDeveloped LSTM models to predict and control SMA actuator behavior, integrating thermal-strain hysteresis into soft robotic systems. The solution was used in a neurosurgical robotic prototype and a test bench built with CiTIUS.
Impact :
60% improvement in actuation precision
Enabled real-time SMA-based robotic joint control
Bridged experimental data with theoretical models for robust control
Neutron Spectrum Unfolding using Machine Learning
We applied advanced ML models (MLP, Bayesian methods, Genetic Algorithms) to reconstruct neutron energy spectra from activation data. Models were trained using synthetic data generated via SERPENT and validated against AMANDE experimental reactor data.
Impact :
80% reduction in manual spectral analysis effort
Improved unfolding accuracy over classical methods
Used for criticality assessment and safety planning
Legal-Tech & AI Strategy
Led consulting on legal attribution, AI responsibility, and compliance. Managed AI teams building ethics-first tech tools and advised institutions on responsible AI deployment.
Impact :
Co-authored one of the first LLM attribution legal-tech papers
Provided strategic consulting for AI compliance in EU settings
Managed interdisciplinary AI teams across law, tech, and research
Personalized Diet Programs, Workouts and Health Monitoring
LOWCAL is a full solution (Mobile apps, website and AI Integrated features) that helps the user have the most diet program suitable with his body type and health situation. In addition to water and steps trackers, meals and medicine reminders, workouts and many other features. It has a smart data analyzer that reads from a weight scale.
Impact :
0% Human interaction with the platform
More user's satisfaction
95% Lead Accuracy
CiTIUS, University of Santiago de Compostela (Spain)
AI-Based Control for Shape Memory Alloy (SMA) ActuatorsDeveloped LSTM models to predict and control SMA actuator behavior, integrating thermal-strain hysteresis into soft robotic systems. The solution was used in a neurosurgical robotic prototype and a test bench built with CiTIUS.
Impact :
60% improvement in actuation precision
Enabled real-time SMA-based robotic joint control
Bridged experimental data with theoretical models for robust control
Neutron Spectrum Unfolding using Machine Learning
We applied advanced ML models (MLP, Bayesian methods, Genetic Algorithms) to reconstruct neutron energy spectra from activation data. Models were trained using synthetic data generated via SERPENT and validated against AMANDE experimental reactor data.
Impact :
80% reduction in manual spectral analysis effort
Improved unfolding accuracy over classical methods
Used for criticality assessment and safety planning
Legal-Tech & AI Strategy
Led consulting on legal attribution, AI responsibility, and compliance. Managed AI teams building ethics-first tech tools and advised institutions on responsible AI deployment.
Impact :
Co-authored one of the first LLM attribution legal-tech papers
Provided strategic consulting for AI compliance in EU settings
Managed interdisciplinary AI teams across law, tech, and research
Personalized Diet Programs, Workouts and Health Monitoring
LOWCAL is a full solution (Mobile apps, website and AI Integrated features) that helps the user have the most diet program suitable with his body type and health situation. In addition to water and steps trackers, meals and medicine reminders, workouts and many other features. It has a smart data analyzer that reads from a weight scale.
Impact :
0% Human interaction with the platform
More user's satisfaction
95% Lead Accuracy
CiTIUS, University of Santiago de Compostela (Spain)
AI-Based Control for Shape Memory Alloy (SMA) ActuatorsDeveloped LSTM models to predict and control SMA actuator behavior, integrating thermal-strain hysteresis into soft robotic systems. The solution was used in a neurosurgical robotic prototype and a test bench built with CiTIUS.
Impact :
60% improvement in actuation precision
Enabled real-time SMA-based robotic joint control
Bridged experimental data with theoretical models for robust control
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