The 315 data poisoning exposure reveals a problem that will only grow larger in the AI era.

Models set the ceiling, data sets the direction:
> Today's dirty data affects the content ecosystem.
> Tomorrow's dirty data could impact high-risk systems like healthcare, legal, and defense.
> In these scenarios, failure isn't "slightly worse results"—it's "unacceptable consequences."

This is why Perle exists—not as ordinary data labeling, but as AI's trusted data layer.

The next narrative shift for model development is the "dark side of the moon": trusted human data supply.

Investing in projects means investing in people:
> Scale AI has already validated this track.
> Founder Lucy Guo was a co-founder at Scale AI; after Meta's acquisition, her stake was worth $1.3 billion—she's achieved financial freedom.
> Perle's team comes from this system and knows how to organize supply, control quality, and drive deals.

Coinbase has already put $PRL on its roadmap:
> Trusted data is entering mainstream market pricing considerations.
> Perle is the leader in trusted data.