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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.
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.
Patents, algorithms, model weights and proprietary datasets valued as economic assets in their own right
Probability-weighted forecasts tied to technical, commercial and adoption milestones
Gross margin trajectory, compute and infrastructure cost, and operating leverage at scale
Adoption curves, competitive displacement and dependency on third-party platforms
Valuation for priced rounds, secondaries, acquisitions and strategic partnerships
A defensible method for companies with limited operating history
Every driver, probability and dependency stated and testable
Built around how growth and deep-tech investors actually assess risk and return
