How We Do It.
We bring together global quantitative talent, deep subject matter expertise, and advanced data science technology to create adaptive, predictive models. The result is quantitative prediction solutions that deliver a clear competitive advantage to business and enhanced outcomes for society.
We specialize in predicting regularities in complex, self-organizing, nonlinear systems. These regularities are found in real-world data, across all business domains, creating both strong and weak signals for us to find – if we know where to look. Assembling these signals into robust models creates predictions that can be used to reduce uncertainty, create opportunity, and enable effective strategies.
We employ a unique approach for solving quantitative research challenges that includes:
- Extracting candidate signals from multiple diverse and differentiated data sources
- Exploring the landscape of all possible models through advanced machine learning
- Promoting model resiliency with a mix of tools, methods, and approaches
- Avoiding data aggregation challenges by integrating information at the signal level
“Idea arbitrage” is central to our approach. Our global network of researchers represents a unique resource; we believe talent is global but prediction challenges are not.
Our diverse group of data scientists bring non-correlated perspective to data science and model creation. Inherent bias is removed from the system and models constantly compete and dynamically evolve as new client data is added to our platform.
OUR PROCESS IS DYNAMIC
We work with clients to create models and make predictions, help them apply these predictions to business objectives, measure efficacy and retest outcomes, and continuously utilize learnings and additional data to constantly evolve and expand our predictive models.