Neural recordings are among the most sensitive data that exists — and the volume grows with every device deployed.
RNDA encodes brain signals at the sensor and discards the raw recording. Storage costs stay flat. The most sensitive biometric data stops being stored.
Request a Neuroscience POC →The Problem
Brain-computer interfaces and clinical neuroscience generate continuous raw neural recordings — among the most sensitive biometric data possible. EEG and fMRI data is permanently identifying, ethically fraught to store, and growing with every BCI deployment.
How RNDA Solves It
EEG compression at 7,431x
Real clinical EEG recordings averaging 1.9MB each encoded to 256-byte signatures. Discrimination gap 0.86. Motor imagery patterns discriminate from rest states.
3D Brain MRI at 4,305x compression
Real T1-weighted and fMRI brain scans — 405 real clinical scans. Discrimination gap 0.96. Gray matter, white matter, and fMRI patterns all discriminate cleanly.
Neural privacy by elimination
Raw EEG and MRI data is permanently discarded after encoding. The signature carries diagnostic meaning without carrying neural data. The most sensitive biometric cannot be re-identified from a 256-byte vector.
BCI without a neural data archive
Brain-computer interfaces encode neural signals in real time and discard the raw stream. Command signatures are transmitted and matched. No raw neural recording ever persists.
How RNDA Applies
Storage Elimination
Raw EEG recordings at 7,431x, 3D brain MRI at 4,305x. A single 1,024-electrode implant generates ~1 TB/day — RNDA compression makes continuous long-term neural recording economically viable for labs and clinical BCI programs that would otherwise exhaust storage budgets within weeks.
Privacy Protection
Neural data is among the most sensitive personal data in existence — brainwave patterns are a unique biometric. RNDA encodes EEG and MRI data at ingest and permanently discards the originals. The most sensitive biometric cannot be re-identified from a 256-byte signature.
Compliance Management
BCI clinical trials fall under FDA, HIPAA, and IRB regulations. RNDA enables automatic data lifecycle management with audit trails for compliant handling of participant neural records. Participant data that no longer exists cannot be breached or subpoenaed.
Intelligent Retrieval
Query compressed neural archives for specific signal patterns — seizure precursors, motor intention signatures — without re-downloading and processing raw terabyte datasets. Proven on 405 real T1/fMRI brain scans — discrimination gap 0.963, results in ~25ms.
Collaborative Intelligence
Multi-site BCI consortia — BRAIN Initiative, EU Human Brain Project — share compressed neural corpora across institutions while each site retains sovereignty over raw signal access. Federated neuroscience without federated neural data.
Storage Impact
Industry stat: High-density neural recording arrays stream hundreds of channels at 30,000 samples/second; a single 1,024-electrode implant generates ~1 TB/day of raw neural signal data (Wiley BCI Review 2024)
50 TB × 20% × $276/TB ÷ 4,305x compression (brain MRI data)
50 TB/year neuroscience lab saves ~$2,754/year — 4,305x brain MRI, 7,431x EEG compression on real clinical scans
Proof of Concept Results
Real data. Measured numbers. No synthetic results.
Source: Real clinical EEG + T1/fMRI brain scans
What Becomes Possible
"A BCI device encodes neural command signals in real time. Raw EEG data is discarded at the sensor. 256-byte signatures are transmitted. The command is matched against known signatures in 20ms. No raw neural recording ever leaves the device."
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 Neuroscience POC →