FinTech, shortened form of Financial Technology, is a fast-rising industry that drives asset and wealth management through technology. Financial Services clients are looking at technology to do more. We bring together our financial services technology capabilities to support our clients through their transformative digital journey and introduce innovative macroeconomic trends. At Codelogicx, our vision is to partner with Financial Services firms starting right from identifying the impediments, selecting the effective business model and by proposing technology solutions for a scaled up digital transformation.
We aim to develop the most impactful and innovative global FS technology platforms. Our strong experience in the financial services sector has allowed us to develop a thorough understanding of the current trends as well as the challenges faced by Financial Institution.
Security is imperative. Codelogicx lends innovation in the field of identity and document verification through Facial Recognition technology.
Evaluating credit risk models using Machine Learning and AI.
Blockchain can effectively manage immutable write only ledger of transactions with its cryptographic security and digital signature.
We map data analytics to diagnose user behaviour and identify risky consumers who might otherwise default on a loan and thereby minimize risk in unsecured personal lending.
L-Pesa Microfinance is a fintech startup with a proprietary credit scoring model that allows it to quickly scale microlending in developing countries such as in Tanzania, Kenya, and Uganda. L-Pesa’s technology stack is built on top of Amazon Web Services to offer extremely scalable on-demand cloud computing platform. L-Pesa offers mobile money and has partnered with biggest service providers such as M-Pesa, Airtel Money, Tigo Pesa. We helped them cross the barriers by leveraging our FS technology capabilities. We developed a unique, proprietary credit scoring model for L-Pesa, based on user behaviour combined with traditional and alternative credit data.