Everyone is racing to tоkenize assets. Nobody has solved pricing at scale yet

There’s a lot of excitement right now around tokenization, and for good reason.

Market went from about 24B to \~28B in a matter of weeks. Institutions are entering. Exchanges are building infrastructure. Regulators are finally giving clarity.

But there’s one problem that doesn’t get enough attention.

Pricing.

It’s easy to tokenize a U.S. Treasury. You already have a clear yield curve and deep liquidity.

But what about:

private credit

real estate

structured assets

data-driven assets

Those don’t have clean, real-time pricing models.

And if you’re moving into a world of:

24/7 trading

instant settlement

on-chain collateral

You can’t rely on slow, manual valuation processes anymore.

You need scalable, dynamic pricing systems.

That’s where the opportunity is.

Because exchanges are becoming distribution layers. Nasdaq, NYSE, Kraken - they’re all building rails.

But rails don’t solve valuation.

They need inventory that’s:

accurately priced

risk-assessed

trusted

This is where DVLT’s positioning gets interesting.

Instead of focusing only on token issuance, they’re building layers like DataValue and DataScore - essentially trying to standardize pricing and risk evaluation for assets, including data itself.

If that works, it’s not just another tokenization play.

It’s part of the trust layer.

And historically, the trust layer is where a lot of value accumulates.