EmpathAI™ is an AI-powered algorithmic platform designed as a deep-learning network that analyzes mobile usage patterns and converts them into code by applying mathematical formulas. These mobile metrics are correlated with personality traits by integrating psychological models translated into AI algorithms.
EmpathAI™ ‘s scalable and highly flexible platform utilizes machine learning methods and big data analysis, and is used in numerous verticals and use-cases as a personality-assessment tool for evaluating credit applicants, customer preferences, patients’ mental health and more.
HOW IT WORKS
Based on user permissions INFI’s SDK instantly scans the user’s mobile device. The data is sent to INFI’s “Brain”, which analyzes and translates it into personality insights and generates an evaluation of the relevant traits.
EMPATHAI™ DATA SOURCES
TRAINING NEURAL NETWORKS
INFI has trained its neural networks (CNN, DNN, RNN) to process data. Based on this processed data, the INFI “Brain” generates personality-driven insights relevant to each specific use case. INFI uses Natural Language Processing (NLP) for processing texts, as well as machine learning and deep learning methods.
INFI interfaces with 3rd party systems via a standard, well-documented API, and utilizes a standard SDK which is easily integrated into the customer’s app. Additional information transmitted through a server-to-server connection enriches the datasets which contributes to the generation of more accurate insights about each individual.
EmpathAI™ adds a new dimension of personality-driven data to traditional KYC and investment due diligence procedures, which provides an unmatched understanding of clients. These datasets, generated by an automated assessment process, are embedded into assessment models, which increases credit scoring accuracy and efficiency.
- Credit business growth by reducing rejection rates while minimizing default rates
- Increased customer engagement over digital platforms by tailoring empathic interactions that instill loyalty
- Optimized investment suitability by leveraging real-time investor risk-profile assessments
EmpathAI™ presents a detailed comprehention of each e-shopper’s personality, by providing a new set of predictive data for understanding what motivates buyers. These insights, generated by an automated assessment process, are embedded into existing e-commerce systems to increase targeting and performance.
- Increased conversions by shifting from behavioral segmentation to personality-driven engagement
- Greater online revenues by customizing offers, which increases upsells and grows wallet share
- Intensified brand trust and loyalty, by tailoring memorable interactions that drive customer engagement
EmpathAI™ adds a new set of personality-driven data about patients, which enables healthcare providers to tailor empathic interaction to patient personalities. These insights are applied with the aim to detect early on changes in mental states, increase adherence to treatment, and improve operational efficiencies.
- Motivating patients to adhere, by tailoring motivation techniques aimed at supporting patients’ treatment self-management
- Monitoring emotional states, by detecting hidden subclinical changes in emotional states in hopes to intervene early on and improve mental states
- Drive operational efficiency, by improving healthcare resource utilization through character-tailored wellness treatment
As part of its end-to-end security approach, INFI encrypts all analyzed metadata and insights about users, by applying several levels of encryption:
- SSL encryption: Used on the client side
- AES 256 encryption: All data in the first layer is then encrypted using AES-256 with a disposable, pseudo random key, which is created for each individual session.