Amun-Ra AI introduces Riemann ID™ — A proprietary 4-channel neural biometric authentication system. Secure, seamless, and powered by differential geometry.
Identity is still tethered to what you have or what you do.
We move it to who you are.
SIM swapping, phishing, and social engineering bypass most two-factor authentication systems.
One-time passwords can be intercepted, delayed, or stolen through compromised telecom networks.
Face and fingerprint scans require active participation and can be spoofed with increasing ease.
Credential stuffing and brute force attacks continue to plague even the most security-conscious users.
Think of it as FaceID for the Brain. Your unique neural signature becomes your universal key.
Achieving enterprise-grade accuracy with only 4 EEG channels. Our proprietary advanced mathematical algorithms extract maximum signal from minimal hardware.
Authentication happens in milliseconds via everyday wearables. No passwords, no codes, no conscious effort required.
Neural data is processed entirely on-device. Raw EEG signals never leave your wearable. Only encrypted biometric hashes are transmitted.
Watch real-time neural authentication secure a $10,000 wire transfer in under 50ms
Wire Transfer
$10,000
Experience live 4-channel EEG simulation. Visualize the sparse signal processing that powers Riemann ID™ before integrating the SDK.
This simulation mirrors the actual data stream from Riemann ID™ hardware. Each channel represents a specific electrode position, processed through our proprietary differential geometry algorithms for maximum accuracy with minimal sensors.
Our breakthrough lies in applying Differential Geometry to sparse EEG signals — extracting stable biometric signatures from minimal hardware.
Our core algorithms are protected by pending patent applications with the USPTO.
Recognized by NVIDIA's elite program for cutting-edge AI startups.
Properly structured for enterprise partnerships and institutional investment.
Ready to explore Riemann ID™?
Access our technical documentation and API reference.