The world’s most advanced consumer analytics technology online.

A wide range of non-intrusive tools and sensors for observation, listening and reading.

Second to none

Neurologyca’s always goal is excellence in quality, accuracy and efficiency in the result. Only by developing the most advanced tools can you get to it.

Advanced Movement Eyetracking ©
Facial Coding
Multispot Face Tech ©
MFSS Mov. Face Sensor System ©
Sacadic Counter ©
Brow&Blink Detector ©
Veracity Tracker ©
KAL © Kopernica Active Listening
EMMA ® Text Mood Analyzer
Accurate and validated

The fundamental thing is a dataset that contains genuine and specialized information from different scientific libraries and especially improved thanks to the more than 8 years of research in Neurologyca laboratories with complete neurotechnology, among them: electroencephalography, galvanometry, heartrate, pupilometry, facial coding, eyectraking, etc. A database of more than 25,000 subjects with billions of emotional references. Kopernica gets 91% precision match compared to its in-room research with laboratories.

Eyetracking Online

With 287% more accurate than current market standards. DETECTION AND PREDICTION of movements on monitor and mobile devices.

KOPERNICA IS UNIQUE IN PRECISION

Accuracy of eye position on screen 0.55cm and 140 measurement points of the face in three dimensions with a 6-layer symphony deep neural network.

A Neural Network that is nurtured and trained from various scientific sources, libraries and Neurologyca databases. It has a dataset composed of 100% real images of neuromarketing studies. Among them 4.8 million frames with 3D amplitude. With associated attentional and emotional data from different technologies. Detect, listen, and read to analyze and understand how subjects interact, feel, and get excited.

EYETRACKING MODULE

The EyeTracking module is composed of an AI model that detects the location on the screen of what the observer is looking at, that is, with mathematical models, several hundred thousand observers from whom their focus position is measured on the screen, we have built a neural network that uses this data to more effectively detect the correct location of the focus point on the screen , so that in the event that the observer moves or needs to move its observation position does not alter the estimate that part of the screen is observing. Our model presents better veracity in Eyetracking results compared to known models of the online market that depend heavily on the change of observation position of the evaluator.

EMOTIONAL MODULE

The AI model used in the emotion detector, is trained with images of people who have participated in neuromarketing studies, so, these images that are used to train AI models, give an emotion detection results according to the standards of companies that are leaders in emotion measurements in this industry. Our AI models have been developed to have the greatest effectiveness of being able to detect dominant emotions in which the similarity effect of other emotions is less than 5%. In this way we can make our studies detect the presence of these emotions when the stimulus provokes it.

ACTIVE LISTENING MODULE (KLAS ©)

The AI model used in the emotion detector, is trained with images of people who have participated in neuromarketing studies, so, these images that are used to train AI models, give an emotion detection results according to the standards of companies that are leaders in emotion measurements in this industry. Our AI models have been developed to have the greatest effectiveness of being able to detect dominant emotions in which the similarity effect of other emotions is less than 5%. In this way we can make our studies detect the presence of these emotions when the stimulus provokes it.

PERSONALITY MODULE

Personality is an area of neuroscience that has been studied over the past few decades. Many personality researchers detail that it can be determined by people’s facial features. At Neurologyca we developed a model for the detection of eight types of personalities that can be measured by facial features and developed the AI model where we can measure and evaluate what type of these eight personalities is the person being evaluated, in order to adjust the AI model of emotion detection and eye monitoring , since these two measurements have different results depending on the personality of the evaluator.

MULTIFACE MODULE (EVENTS)

Personality is an area of neuroscience that has been studied over the past few decades. Many personality researchers detail that it can be determined by people’s facial features. At Neurologyca we developed a model for the detection of eight types of personalities that can be measured by facial features and developed the AI model where we can measure and evaluate what type of these eight personalities is the person being evaluated, in order to adjust the AI model of emotion detection and eye monitoring , since these two measurements have different results depending on the personality of the evaluator.