Aleph KYC
AI agents for consumer finance


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Many customers, many models


Aleph KYC is an agent-based personalization modeling solution for consumer finance and retail applications. Given arbitrarily large and diverse collections of data such as transactional databases, loyalty programs, credit bureaus and demographic surveys, our unique amalgamation of machine learning and reasoning produces personalized models for a variety of scenarios such as risk analysis, product recommendation, what-if analysis and pricing.


Aleph KYC use cases


Personalized creditworthiness assessments
Our unique blend of machine learning methods can process heterogenous, noisy and sparse datasets to obtain reliable and actionable models for credit risk assessment at the individual level and minimize global turnover rates


Real-time product recommendation
With our proprietary machine reasoning technology, we create interactive personalized models for recommendations based on the choices and behaviors of each agent during a specific visit and adapts accordingly, providing relevant and reliable recommendations


Agent surveying and what-if analysis
Given a large collection of behavioral models for each customer or agent, our technology is capable of running population-wide surveys and questionnaires in order to measure the aggregate response to a given stimulus, such as seasonal discounts or marketing campaigns


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  Features

Flexible

Consumes data from heterogeneous sources with varying levels of quality and noise


Scalable

Easily handles arbitrarily large datasets with different levels for personalization


Personalized

Builds individualized models centered on each particular customer's beliefs and behaviors

Deployable

Provides simple and intuitive APIs allowing easy integration with customer and third-party applications

Some results

  PRECISION IN CREDITWORTHINESS


85%+ precision in creditworthiness assessment for a local subprime lending company—despite the existing scarce, noisy datasets on non-banked individuals

 

FULLY AUTOMATED RECOMMENDATIONS


Fully automated financial product recommendation model for a regional retail banking institution, leading to a 10%+ increase in conversion rates

BEHAVIORAL ECONOMICS FOR LOYALTY



Highly personalized transaction pricing models for a loyalty management Fintech company