Digital asset businesses derive value from networks, protocols and token economies that traditional models were never designed to measure. BVInt combines network and adoption analysis with token economics, liquidity assessment and probabilistic modelling — producing valuations that hold up with institutional investors, auditors and regulators.

Blinded Case Example

BVInt valued a tokenised platform ahead of an institutional raise, where the circulating token price reflected thin liquidity rather than underlying network economics. The analysis separated entity value from token value, modelled emission and staking schedules, and applied probabilistic scenarios to produce a range the investment committee could work from. Graph to display: Probabilistic distribution — modelled value range with Value-at-Risk, shown against the prevailing market price.