Genomic sequences are growing at 2x per year. Every one of them permanently identifies its owner.
RNDA encodes and discards the originals — the biological intelligence remains, the storage cost and the liability don't.
Request a Genomics POC →The Problem
Genomic data is among the most sensitive data that exists — permanently identifying, impossible to anonymize, and growing at 2x per year. Storing it creates perpetual liability. Yet the science requires it to be queryable.
How RNDA Solves It
14,774x compression on real genomic sequences
A 3.7MB bacterial genome becomes a 256-byte signature. Proven on 300 real NCBI RefSeq sequences.
Biological similarity search
Same organism returns 1.0000 similarity. Different organisms return 0.06. The discrimination gap is 0.9387 — enabling meaningful biological clustering without raw sequence storage.
Privacy by elimination
Genomic sequences are permanently discarded after encoding. The signature carries biological meaning without carrying the sequence itself.
How RNDA Applies
Storage Elimination
A 3.7MB bacterial genome compresses to 256 bytes at 140,835x. A lab generating 100 TB/year of FASTQ data can eliminate its entire sequencing archive — retaining only the biological intelligence, not the sequences.
Privacy Protection
DNA sequences are encoded at ingest and permanently discarded. Human genomic data — permanently identifying and impossible to anonymize — cannot be re-identified from a 256-byte signature. Genomic privacy by elimination.
Compliance Management
GDPR Article 9 and HIPAA treat genetic data as a special category requiring heightened protection. When no raw sequence exists, compliance is architectural. Encoded archives satisfy retention requirements without creating ongoing liability.
Intelligent Retrieval
Submit any genomic sequence and find the most biologically similar organisms from your encoded archive in 22ms. Proven on 28 real NCBI files across 6 species — same species similarity 1.0000, cross-species near 0.04. Discrimination gap 0.96.
Collaborative Intelligence
Research consortia query across institutional genomic libraries without raw sequences crossing organizational boundaries. Each lab encodes locally. Only 256-byte signatures are shared — federated genomics research without federated liability.
Storage Impact
Industry stat: NCBI Sequence Read Archive holds over 60 petabytes of genomic data and adds 100+ TB/month — genomic data doubles faster than storage costs fall
100 TB × 20% × $276/TB ÷ 140,835x compression
140,835x compression on real NCBI sequences — a 100 TB lab's annual FASTQ archive costs under $0.40 in storage post-RNDA
Proof of Concept Results
Real data. Measured numbers. No synthetic results.
Source: NCBI public sequences — 28 files across 6 species
What Becomes Possible
"Submit a pathogen sequence from a patient. RNDA finds the 5 most biologically similar organisms across 300 species in 22ms. The sequence is permanently gone. The biological intelligence remains."
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 Genomics POC →