Funding
Funding not disclosed
Founders
Product
Problem
Current mobile network infrastructure is limited to 6G‑class speeds, making ultra‑high‑bandwidth applications such as real‑time holographic communication, massive IoT, and advanced AI services impractical. Parallel challenges exist in aviation safety, satellite cybersecurity, and medical research, where existing detection, protection, and diagnostic tools lack the speed and AI integration needed for timely decision‑making.
Solution
LeObran focuses on Phase‑1 R&D to create 7th‑generation mobile networks capable of delivering 10‑100 Tbps connectivity, promising dramatically faster, cheaper, and more reliable data transfer than 6G. The company applies deep‑learning models to secure aircraft and satellite systems, providing AI‑driven threat detection and response. In healthcare, LeObran combines bio‑photonic engineering with AI to accelerate tissue and muscle regeneration research and to offer diagnostic assistance tools that help clinicians interpret complex data. An AI‑powered turbulence detection system processes real‑time flight data to alert pilots of hazardous conditions, improving safety and operational efficiency.
Target Audience
Primary customers include telecom operators and infrastructure providers seeking next‑generation connectivity, aerospace manufacturers and satellite operators requiring advanced cyber protection, and hospitals or research institutions that need AI‑enhanced regenerative medicine and diagnostic tools.
Features
- Proprietary radio‑frequency and photonic architectures designed to achieve multi‑terabit per second throughput
- AI‑based cybersecurity suite for aerospace platforms that detects anomalies and automates mitigation across satellite and aircraft networks
- Bio‑Photonic AI platform that integrates photonic imaging with machine‑learning to model tissue growth and predict regeneration outcomes
- Intelligent turbulence detection algorithm that fuses sensor streams and provides predictive alerts with low latency
- Diagnostic assistance interface that aggregates patient data, applies deep‑learning inference, and presents actionable insights to physicians
- Scalable cloud‑native infrastructure enabling seamless data exchange between mobile, aviation, and healthcare modules