We are thrilled to announce the release of Veriafy 2.0, the most significant update to our privacy-preserving classification platform since launch.
What's New in Veriafy 2.0
3x Faster Inference
Our patented inference engine has been completely rewritten for performance. Benchmarks show:
- •**Image classification**: 15ms average (down from 45ms)
- •**Document classification**: 25ms average (down from 80ms)
- •**Video frame analysis**: 8ms per frame (down from 25ms)
Improved Accuracy
We've trained new base models with expanded datasets:
- •NSFW detection: 98.7% accuracy (up from 96.2%)
- •Fraud detection: 99.2% accuracy (up from 97.8%)
- •Document triage: 97.5% accuracy (up from 94.1%)
New File Type Support
Veriafy 2.0 adds support for:
- •WebP and AVIF images
- •HEIC/HEIF photos
- •MKV and WebM videos
- •EPUB documents
Privacy Remains Our Priority
Despite these performance improvements, we haven't compromised on privacy. Veriafy 2.0 continues to use our patented semantic hashing technology that ensures:
- •Original content is never accessed during classification
- •Veriafy Vectors are irreversible — content cannot be reconstructed
- •500,000x compression ratio maintained
- •Full GDPR, DSA, and HIPAA compliance
Getting Started
Upgrade to Veriafy 2.0 today:
# Update CLI
# Or pull new Docker image docker pull veriafy/veriafy:2.0 ```
What's Next
We're already working on Veriafy 2.1 with:
- •Real-time streaming video analysis
- •Multi-language document support
- •Custom model fine-tuning UI
Thank you to our community for your continued support and feedback. We're just getting started.