Lymbic AI

Neuroprint
Alumni Cyber Cyber TRL 3 3-5 people

Overview

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 Access 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.

Competitive Landscape Traditional biometrics are cloneable. We’re the first to fuse evoked EEG with cryptographic authentication.

Primary User SOCOM operators, UAV pilots, and cyber personnel accessing classified systems.

User-Critical Problem Current MFA fails under duress. Users can’t prove they’re present or human. Neuroprint verifies identity continuously—even mid-mission.