Common Use Cases

We approach solutions by examining how new sources of information can be used to improve revenue and how analytics can reduce total cost of operations. We use data science and machine learning tools to improve efficiency, optimize portfolios, and provide real-time snapshots. Our ability to execute on common financial services features financial forecasting models, analyzing customers, aggregating market and consumer data, and mitigating fraudulent behavior. 

SFL Scientific leverages data science tools to create custom platforms and systems that monitor, learn, and inform our clients. With many new tech areas emerging into the market, we're here to minimize the risk with innovation and generate immediate return. We also work with asset management and hedge fund customers to help run experiments, aiding and enabling quantitative researchers and finance data scientists.


Ready to Start?

Our consultants and engineers have worked with industry leaders, collecting and analyzing information to transform business practices. We'd like to help creating your next solution, whether migrating legacy platforms or developing new systems. Technology moves fast, let's build sustainable solutions.