built for quants. made by quants
Quants struggle with assessing most data vendors
That's why we're streamlining the data diligence process - so you can acquire alpha-enriched datasets faster
We use meaningful quant metrics such as coverage, survivorship bias, dispersion, etc.
Intelligent entity mapping to check whether any dataset preserves correct PIT information.
Automated factor discovery and signal roadmap creation.
Visualize relationships between datasets and data methodology documents.
We are a team of engineers and quants with academic roots in engineering, computer science, and financial mathematics from the University of Waterloo, Georgia Tech, and the University of Chicago, and professional experience at leading institutions including Tesla, Nvidia, Microsoft, and quantitative buy-side firms managing over $70B in assets.