Rapid tech due diligence: How Catalyst Fund assesses a startup’s tech
Alongside product-market fit and adequate control of data, underlying tech quality is a key determinant of whether a startup...
Top 5 demographic data fields fintech startups need to collect
Catalyst Fund welcomes new cohort of inclusive fintech startups creating solutions to improve the financial health of underserved communities...
Robbing Peter to lend to Paul
Our friends at MicroSave Consulting recently published a detailed, timely study on the state of digital credit in...
Keeping Machine Learning Honest! The need for the truthalizer
Machine learning (ML) provides institutions with predictive analytics that leverage large amounts of both historical and continually-generated data to...
How Artificial Intelligence Can Simplify International Development Research: An Intriguing Experiment
Anyone working in international development can spend large amounts of time trying to keep up with news about...
Four Steps to Being Agile for Fintech Companies
Banco Maré’s Journey from Working Enthusiastically to Working Deliberately Startups have great ideas and the best intentions for impact;...
Machine Learning in PAYGo: What You Need to Know Before You Jump In
Last summer, we published a post that described how ZOLA Electric uses Machine Learning (ML) to predict which of...
R²A Case Study: AML Data Infrastructure Prototype
The Mexican National Banking and Securities Commission (Comisión Nacional Bancaria y de Valores, or CNBV) requested a partnership to...
R²A Case Study: Chatbot Prototype
The consumer complaints system at the Bangko Sentral ng Pilipinas (the Philippines Central Bank, hereafter BSP) was limited by...
Emerging Dynamics for the Future of Agent Networks
Even though mobile and financial technology are advancing rapidly, banks and telecoms still manage agent networks just as they...