We aim to develop the engineering and mathematical foundations to enable medical and health systems to operate with high efficiency, absolute privacy, and complete isolation from centralized cloud storage servers.
We are currently leading 6 fully complex engineering research tracks within FES Labs departments to ensure data sovereignty and operational independence.
Studying the optimization of query algorithms for large local medical databases locally, achieving 0ms response time without consuming processor power on mobile devices.
Developing local encryption protocols and secure communication channels ensuring patient records are completely isolated at the device level, preventing decryption by anyone other than the practitioner.
Innovating algorithms to extract laboratory tables and digital data and interpret them within the device's temporary memory (RAM) with immediate and automatic deletion of uploaded files.
Research to develop small language models (under 1 billion parameters) operating entirely locally to summarize patient reports without sending a single character to external servers.
Studying secure instant synchronization protocols for medical records across multiple clinic devices (like iPad and PC) over a fully encrypted local Wi-Fi network without a cloud intermediary.
Developing compressed data structures and advanced indexes to provide query speeds of under 5ms when searching through 600,000 food items offline on older mobile devices.
Active research drafts and technical studies for 2026 fully led within FES Labs departments and laboratories.
We welcome collaborations with computer science and software engineering departments at universities and research institutions to participate in graduation theses and scientific studies on autonomous health computing and sovereign data encryption.
✉️ Contact us to start a research collaboration