Your content archive is growing without bound. So is your storage bill.
RNDA encodes video and audio at ingest and discards the originals. The library stays searchable. The raw files stop accumulating.
Request a Media POC →The Problem
Media libraries grow without bound. Content fingerprinting requires storing reference copies. Recommendation systems require raw feature extraction at query time. Every function assumes the content must be retained.
How RNDA Solves It
2,109x video compression on real frames
Real video frame data encoded to 256-byte signatures. 13,320 frames proven in POC.
547x audio compression — binary queries proven
Real FLAC audio recordings. Submit any audio file, find the most similar recordings. Discrimination gap 0.95 — enterprise-grade audio similarity search. Raw audio permanently discarded after encoding.
Content matching without content retention
Find similar content, detect duplicates, power recommendations — all from signatures. Original media is permanently discarded after encoding.
How RNDA Applies
Storage Elimination
Video at 1,868x, audio at 547x. A streamer with 50,000 TB of content archive reduces storage from $13.8M/year to ~$1,500/year. Raw media is permanently discarded after encoding — the signature enables all downstream functionality.
Privacy Protection
Behind-the-scenes footage, unreleased cuts, talent contracts, and user viewing behavior are stored in RNDA-encoded form that cannot be breached or leaked in plaintext. Raw content and metadata never exist in recoverable form after encoding.
Compliance Management
Content licensing windows and geographic distribution restrictions are enforced at the encoding layer — access automatically expires when distribution rights lapse. No manual intervention required for rights management at scale.
Intelligent Retrieval
Find duplicate content, detect infringement, and power recommendations from 256-byte signatures. Proven on 175 real video clips across 35 action categories — discrimination gap 0.998. Audio queries proven on 2,620 FLAC recordings — discrimination gap 0.95. Results in under 300ms.
Collaborative Intelligence
Production studios, post-production houses, VFX teams, and distributors share encoded assets without transferring petabytes. Access scoped to each collaborator's role — raw content never leaves the originating studio, yet the entire production chain can query the encoded archive.
Storage Impact
Industry stat: Global cloud video storage market reached 5.8 billion TB in 2024 (Global Insight Services)
50,000 TB × 20% × $276/TB ÷ 1,868x compression (mid-size streamer)
Mid-size streamer with 50,000 TB archive saves ~$145K/year — 1,868x video, 547x audio proven on real UCF-101 and FLAC datasets
Proof of Concept Results
Real data. Measured numbers. No synthetic results.
Source: UCF-101 action recognition + real FLAC audio files
What Becomes Possible
"A newly uploaded video is encoded on ingest. The raw file is discarded. The signature is queried against 13,320 reference signatures to detect duplicates in under 300ms."
Ready to see it on your data?
Every number on this page came from a real POC. Yours will be built the same way — against your actual data type, measured compression, real query latency.
Request a Media POC →