Lymbic AI
Neuroprint
Deepfakes
Why it mattersLymbic AI is pioneering a new frontier in biometric security by leveraging EEG brainwave signals for identity verification. Our technology captures and analyzes unique neural patterns, creating a highly secure and privacy-preserving authentication method that is resistant to spoofing and traditional biometric vulnerabilities. Unlike fingerprints or facial recognition, which can be replicated or stolen through deepfakes, brainwave-based authentication offers a dynamic and non-invasive alternative that ensures both security and user control. By integrating advanced neurotechnology with AI-driven pattern recognition, Lymbic AI is developing solutions for high-security applications, from digital identity protection to next-generation access control. Our approach prioritizes privacy, ensuring that no raw brainwave data is stored or exposed, making it a robust alternative to conventional biometrics.
About
Problem
AI-generated deepfakes have breached military and diplomatic systems by mimicking trusted voices and faces. Static biometrics—face, voice, fingerprint—can be cloned or leaked.
Solution
Lymbic’s Neuroprint uses brainwave signals (EEG) to verify identity in real time. By triggering neural responses (e.g., P300, SSVEP), we authenticate users with non-observable, live-only signals—impossible to spoof or replay.
Field Validation
Pre-field. Lab-tested on consumer EEG devices (e.g., Muse 2, BrainBit), achieving 84.2% accuracy and 93.5% specificity. Letters of intent from BrainBit, UltraPCS, and Idun Technologies. Technology Maturity (TRL): TRL 4. Validated neural challenge-response authentication protocol using evoked EEG signals.
Strategic Advantage
Evoked-signal protocol + cryptographic unlock pipeline. IP pending. Access to proprietary brainprint datasets. Competitors lack zero-knowledge EEG frameworks or live-signal detection capability.
Go-to-Market
Engaging SBIR, AFWERX, and DIU. Registered with SAM.gov. Early contact with SOCOM, JSOC, and defense primes through OODAloop, Black Hat, and SCSP networks.
Dual-Use Potential
Neuroprint extends to secure wearables (AR/VR headsets, earbuds), AI safety (identity-linked model access), and continuous identity verification in fintech and healthcare.
Team
Nathaniel Rose, ex-Circle ML engineer, Imperial neurotech alum. Advised by ex-DARPA PMs and cybersecurity leads from Microsoft and Harvard.
Primary User
SOCOM operators, UAV pilots, and cyber personnel accessing classified systems.
Problem
Deepfakes