FedX hi-tech/deeptech AI Artificial Intelligence project Federated AI On Distributed Data For EU-Global Scale Services

Problem Statement: Data generation is projected to increase fivefold, fueling growth in AI. Data regulations rose by 70%, while much of valuable data remains siloed. External data sharing triples economic benefits, but collaboration risks, from legal to reputational, are substantial.   Emerging Landscape: TAM for Confidential Computing, including Federated Learning, is US$ 1.9-2.0 billion Federated learning’s subsegment foresees 145-150% 5-year CAGR. Growth due to rising enterprise awareness, evolving data regulations, new opportunities.   Value Proposition: FedX Platform: Federated AI platform where data remains in place, ensuring security and regulatory compliance. Technical Approach: Uses federated learning for decentralized AI training, maintaining data privacy and offering rapid insights. Privacy Standards: Embraces "Privacy by Tech Design" and low-risk data processing, minimizing data breaches and misuse.   EDGE: Current Challenges: Existing solutions are resource-heavy and struggle with real-world, uneven data, leading to reduced accuracy. FedX's SF Tech: Patented technology that maintains high accuracy even in complex scen