Deep-tech companies are usually worth far more than their trading history suggests, and the gap sits in intellectual property, data and the ability to scale. BVInt values technology assets, proprietary datasets, team capability and adoption potential through risk-adjusted forecasting — giving founders, investors and boards a credible basis for pricing growth.

Blinded Case Example

BVInt valued an applied AI company preparing a growth round, where revenue was immaterial but the proprietary dataset and demonstrated model performance represented the majority of enterprise value. The analysis valued the IP and data assets directly, then layered milestone-weighted scenarios to bracket the range for the lead investor. Graph to display: Risk-adjusted valuation bridge — value built up from IP and data assets, then adjusted by milestone probability to a risk-weighted conclusion.