Build Trust
For Predictive Claims
validityBase (vBase) builds infrastructure that enables creators and users of predictive data, models, signals, and trading strategies to validate predictive value through independently verifiable evidence.
Predictive Claims are Hard to Verify
Research and investment workflows increasingly rely on externally produced predictive data and models.
Providers often lack a scalable way to build a credible historical record of what was predicted, when.
Buyers default to unscalable means of validating predictive claims, and often do not buy at all, creating a major bottleneck to adoption.
Scale Trust, Without Giving Up Control
Predictive claims become independently verifiable
IP stays private (vBase does not need to see it)
Fits existing pipelines and data types
Verification records are portable beyond vBase
Start in minutes, scale to millions
Team & Stewardship
vBase is built by practitioners from systematic investing, data infrastructure, and market technology.
Dan Averbukh
Co-Founder & CEO
Dan previously founded Clerkenwell Asset Management, a systematic hedge fund, where he worked directly with external datasets, signals, and strategy evaluation. That experience informs how vBase is built today: practical infrastructure for teams to make credible predictive claims.
Greg Kapoustin
Co-Founder & CTO
Greg has spent over 20 years building data and analytics infrastructure for predictive modeling and quantitative investment research. He previously co-founded ABW, whose analytics solutions supported more than $30 billion in AUM. At validityBase, he builds the systems that make validation and historical reproducibility scalable.
Company
Company
validityBase
(PIT Labs Inc.)
Founded
2023
Headquarters
New York, NY
Backed by
Private investors in finance and data