GM WEB3

Most conventional AI platforms just shuffle data around without really caring about what happens to it. But what if information could carry real weight and accountability every time it moves?

That's the game-changer: building systems where data integrity actually matters. Here's how it works in practice—through three pillars that fundamentally reshape how information flows:

**Provenance** - Every single piece of data has a traceable lineage. You're not dealing with anonymous information floating around; instead, you can always point back to the original source and see exactly who validated it along the way.

**Context** - Information doesn't exist in a vacuum. Understanding the surrounding circumstances and conditions becomes part of what gets transmitted, not an afterthought.

This approach transforms data from a commodity that just moves between systems into something that maintains verifiable integrity and meaningful context throughout its lifecycle.