Why Synthetic Data on Solana

The Problem

Developers often need rich, structured datasets for machine learning, analytics, and product development. On-chain data is raw and fragmented. Off-chain data is siloed, expensive, or privacy-sensitive. Building new data-driven applications is slow and risky.

The Solution: Synthetic Data

Synthetic data lets builders generate high-utility, privacy-preserving datasets by statistically modeling real data — keeping patterns while protecting sensitive details. It unlocks:

• Safer training data for AI models

• Faster experimentation without compliance risks

• Open access to valuable patterns without sharing private records

Why Solana

We chose Solana because it’s:

• Fast & low cost: ideal for high-volume data indexing and frequent dataset updates.

• Developer-friendly: with mature tooling and growing adoption.

• DeFi & AI heavy: the ecosystem is hungry for reliable data and trading insights.