Securing the Quantum Future

Patent-pending innovations in quantum-safe communications and adaptive sensor fusion for defense and critical infrastructure

Our Technologies

Nirvair Fusion

Adaptive Multi-Modal Sensor Fusion System

Applications:

Autonomous vehicles, defense systems, industrial monitoring, medical devices

StateBridge

Modular Cryptographic Context Management

Applications:

Financial services, critical infrastructure, cloud security, government communications

Cipher Mesh

Post-Quantum Security for Bandwidth-Constrained Networks

Enables post-quantum cryptographic signatures to work over tactical radios, IoT devices, and satellite communications with severe bandwidth constraints. Uses Reed-Solomon fragmentation and Byzantine fault tolerance to break large quantum-safe signatures into small authenticated pieces that survive packet loss and adversarial tampering.

Authenticated signature fragmentation using Merkle trees
Reed-Solomon erasure coding for error correction
Byzantine fault tolerant (survives up to 33% malicious nodes)
Works on 51-222 byte MTU networks (LoRaWAN, tactical radios)
Fits ML-DSA-65 signatures (3,309 bytes) into 512-byte packets

Technical Highlights

Problem Solved:  Post-quantum signatures are too large (3,309 bytes) for bandwidth-constrained military/IoT networks

Solution: Cryptographically secure fragmentation with tamper-proof reassembly

Performance: Survives 40% packet loss, <15ms latency overhead

Applications:

Tactical military radios, Satellite communications, IoT/LoRaWAN security, Drone mesh networks, Coalition communications

Spectra Sentry

AI-Powered Cognitive Spectrum Defense

Autonomous RF spectrum management system that uses machine learning to detect jamming and interference in under 1.3 seconds, then automatically switches communication channels without human intervention. Maintains adversarial robustness with 84%+ accuracy even under sophisticated attacks on the AI models themselves.

Real-time RF signal classification using deep learning
Autonomous spectrum adaptation (<1.3s detection time)
adversarial robustness with AI (84%+ accuracy under attack)
Multi-domain threat detection (jamming, spoofing, interference)
Zero-trust frequency hopping coordination
Cognitive electronic warfare countermeasures

Technical Highlights

Problem Solved: Traditional spectrum management cannot adapt fast enough to detect and counter sophisticated RF threats
 
Solution: AI-driven cognitive radio with adversarial hardening and autonomous channel switching
 
Performance:  Sub-second threat detection, 84%+ accuracy under adversarial conditions, seamless failover