Everyone is talking about AI governance. But governance assumes something we don’t yet have: Interoperable, understandable data systems.
Right now, the AI ecosystem is still fragmented; data is siloed, inconsistently structured, and difficult to compare across sources. Until that changes, governance can only go so far. From our point of view, improving AI systems requires a broader shift: Data needs to become interoperable.
That’s a big and difficult process. But every system change has a starting point. We believe one of the first steps is simple: Visibility into how data actually moves. Who is buying datasets. What types of data are being acquired. And what the real price signals look like.
So we launched DatFlash.
We’ve compiled 100 real AI dataset transactions, including buyers, sellers, sources, and observed pricing signals.
Not marketplace listings. Not vendor claims. But publicly traceable transaction references.
This isn’t the solution. It’s a starting point. Because before data can be governed, it needs to be comparable.
And before it can be comparable, it needs to be visible.
Curious how others are thinking about this, are you seeing more visibility into dataset transactions, or is it still opaque?