At the heart of Veriafy lies our patented semantic hashing technology. This post explains how it works and why it's revolutionary for privacy-preserving classification.
The Problem with Traditional Classification
Traditional content classification requires:
- Uploading original content to servers
- Processing raw images, videos, or documents
- Storing content for model training
- Risk of data breaches exposing sensitive content
This creates significant privacy and compliance risks.
Our Solution: Semantic Hashing
Veriafy's approach transforms content into a compact, irreversible representation that:
- •Preserves semantic meaning for classification
- •Cannot be reversed to reconstruct original content
- •Achieves 500,000x compression ratio
- •Works across all file types
How It Works
Step 1: Perceptual Hashing
We first extract a perceptual hash that captures content structure:
- •**Images**: PDQ (Perceptual hashing) + DCT features
- •**Video**: TMK (temporal matching kernels) + frame sampling
- •**Audio**: Chromaprint acoustic fingerprinting
- •**Documents**: SimHash + structural analysis
Step 2: Semantic Embedding
The perceptual hash is combined with a semantic embedding:
- •CLIP embeddings for visual content
- •SBERT embeddings for text
- •Custom embeddings for specialized content
Step 3: Vector Fusion
The final Veriafy Vector combines both components:
Veriafy_Vector = Hash(Perceptual_Hash || Semantic_Embedding)
This produces a fixed-size vector (256-512 dimensions) that:
- •Uniquely identifies content semantically
- •Cannot be reversed to original content
- •Can be classified by trained models
Mathematical Guarantees
Our approach provides cryptographic guarantees:
- **One-way function**: Given a Veriafy Vector, it's computationally infeasible to reconstruct the original content
- **Collision resistance**: Different content produces different vectors with overwhelming probability
- **Semantic preservation**: Similar content produces similar vectors, enabling classification
Patent Protection
This technology is protected by international patents:
- •US Patent 11,XXX,XXX
- •EU Patent EP XXXXXXX
- •Additional patents pending
Veriafy is the only provider licensed to use this approach for commercial content classification.
Conclusion
Semantic hashing enables a new paradigm in content classification: full privacy preservation without sacrificing accuracy. This is why Veriafy remains the only solution that achieves true DSA and GDPR compliance for content moderation at scale.