White papers

White papers published here detail some of our projects involving the AI and Scientific Computing expertise applied to improve our client's business processes.

Natural Language Processing: looking for Value in your Unstructured Data


A frequent business problem is discussed, whereby companies find themselves facing a large base of Unstructured Data, which proves cumbersome to process. A specific case is brought up in which the data arrives continuously from the users and is processed on the fly. A comprehensive approach to processing this Unstructured Data is discussed along with technical considerations.

Keywords: #ai #artificialintelligence #ml #machinelearning #python #nlp #csv #gpu #gcp #jupyter #docker #tensorflow

Problem statement

We seek an approach to handling Unstructured Data on the fly with Machine Learning techniques, particularly with Natural Language Processing.

Creditworthiness Assessment: is your Client Creditworthy (and how do you make them so)?


In this white paper we discuss building a piece of software which performs Creditworthiness Assessment based on hundreds of parameters included in loan applications for a popular motorcycle brand. The process involves creating an algorithm which calculates the risk associated with each loan. The goal is to suggest modifications to the loan application parameters, which would adjust them so that they represent good risk for the expected return.

Keywords: #python #optimization #lp #linearprogramming #credit #creditworthiness #calculation #numpy #scipy #sympy

Problem statement

As a creditor issuing loans for a popular motorcycle brand, we want to understand, whether a particular loan application represents good risk to us and, if not, how we can revert to the applicant with recommendations on how they can modify their application to pass our creditworthiness criteria.

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