Empowering the Road Ahead: AI-Driven Mobility for a Smarter, Greener World
Learn MoreSnAIke operates at the intersection of artificial intelligence and smart mobility, developing AI-driven solutions that enhance transportation efficiency, safety, and sustainability. Our business model revolves around providing AI-powered software and analytics to cities, transportation agencies, and mobility service providers, enabling them to optimize traffic flow, reduce congestion, and improve overall infrastructure performance and safety. At the core of our technology is a Digital Twin model, which creates virtual replicas of real-world transportation networks, allowing for real-time simulations, predictive analytics, and continuous optimization. By combining AI with smart city infrastructure, SnAIke aims to revolutionize urban transportation, making travel more seamless, connected, and environmentally responsible.
Leveraging AI and IoT to enhance vehicle performance and safety.
Real-time route optimization for seamless travel experiences.
Promoting green transportation for a sustainable future.
MSc in Mechatronic Engineering at PoliTo & California State University | ~ 2,5 years experience in Control system engineering and system engineering
MSc in Management at Bocconi & MBA courses at Tulane University | ~ 3 years experience in business consulting
MSc in Mechatronic Engineering at PoliTo | PhD student in AI-based GNC at PoliTo & ~ 2 years experience in Control system engineering and software engineering
MSc in Mechatronic Engineering at PoliTo – Thesis focused on CNN | ~ 2 years experience in Control system engineering
MSc in Aerospace Engineering at PoliTo | ~ 1,5 years experience in Space equipment design