• Portfolio Page
  • Innovations / Projects
  • More
    • Portfolio Page
    • Innovations / Projects
  • Portfolio Page
  • Innovations / Projects

Cecil Jentges

Cecil JentgesCecil Jentges

GitHub Projects & White Papers

RavenOS

NexuShare

NexuShare

Lightweight embedded operating system optimized for edge computing and IoT deployments. Addresses the critical need for secure, resource-efficient processing at network endpoints.


Key Benefits: 40% reduced memory footprint vs comparable systems, enhanced security isolation, modular architecture for field-specific customization.


IP Status: Core architecture documented; patent strategy in development.


Licensing: Reference implementation available. Detailed technical specifications and pilot deployment options available under NDA.

NexuShare

NexuShare

NexuShare

Distributed secure data sharing framework with end-to-end encryption. Enables enterprise data sovereignty while maintaining operational efficiency across decentralized networks.


Problem Solved: Secure file transfer meeting regulatory compliance requirements.


Key Benefits: Zero-knowledge encryption, audit trails, scalable architecture.


IP Status: Architecture documented; reference implementation on GitHub.


Licensing: Open to field-of-use licensing. Technical specs available under NDA.

Intent-Keyed Ephemeral Cache

SMCPv1 - Secure Multi-Party Computation

SMCPv1 - Secure Multi-Party Computation

Predictive caching system that anticipates user data needs before requests are made. Dramatically reduces application latency by pre-loading likely-needed resources based on behavioral patterns.


Problem Solved: Application performance bottlenecks caused by cache misses and data retrieval delays.


Key Benefits: Up to 60% latency reduction, minimal memory overhead, seamless integration.


IP Status: Core algorithms documented; patent strategy in development.


Licensing: Royalty-bearing or field-of-use licenses available. Proof-of-concept demos on request.

SMCPv1 - Secure Multi-Party Computation

SMCPv1 - Secure Multi-Party Computation

SMCPv1 - Secure Multi-Party Computation

Framework enabling multiple parties to jointly compute functions over private data without revealing inputs to each other. Critical for healthcare data collaboration, financial analysis, and privacy-preserving AI training.


Problem Solved: Organizations cannot collaborate on sensitive data without privacy risk.


Key Benefits: Zero-knowledge proofs, compliance-ready, scalable to enterprise deployments.


GitHub: github.com/wizardscurtain/SMCPv1


IP Status: Novel protocols documented; patent filings in preparation.


Licensing: Open to exclusive licensing or joint development partnerships.

Licensing Inquiries

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.


Copyright © 2021 Cecil Jentges - All Rights Reserved.

  • Portfolio Page