1. The Problem We Solve

Most organisations today don’t have a data problem.

They have a trust problem.

• Data exists, but it is:
  • Fragmented across systems
  • Re-verified repeatedly
  • Hard to reuse across institutions
• Each new interaction:
  • Increases cost
  • Slows onboarding
  • Raises risk
• As a result:
  • Markets underperform
  • Good participants remain invisible
  • Institutions behave conservatively

The root issue:

Trust is not portable.

2. The Dataswyft Insight

Markets don’t need more data.

They need reusable proof.

Instead of moving raw data between organisations, Dataswyft enables ecosystems to:

• Convert verified reality into standardised proofs
• Govern how those proofs are created, shared, and monetised
• Let participants transact on what is proven, not what is claimed

This is what we call a Smart Data Ecosystem.

3. What a Smart Data Ecosystem Is

A Smart Data Ecosystem has three defining characteristics:

1. Proof, Not Data

• Institutions interact with badges (proofs) instead of raw data