Metadata Computation & ZKAI Privacy Layer

To preserve privacy while enabling personalization, InSoBlok AI employs a ZKAI-powered metadata layer-a fusion of zero-knowledge cryptography and AI inference engines to process user behavior, preferences, and influence signals.

Key Capabilities:

• On-device taste modeling using AI agents that generate local recommendations without exposing raw preferences

• Zero-Knowledge Proofs verifying engagement stats (e.g., “voted on 20 Yay/Nay polls”) without revealing identities

• Privacy-preserving TasteScore computation where inputs are obfuscated and outputs verifiable but unlinkable

This enables secure computation over encrypted data, allowing for:

• Reputation-based ranking of posts, content, and influencers

• Governance voting eligibility tied to social contribution

• Personalized AI assistants (styling, content curation) that respect user privacy

ZKAI turns social behavior into structured insights-all while preserving confidentiality, preventing surveillance, and decentralizing data control.