Zubu for investors and partners
Clear investment opportunity. Problem, solution, timing, business model, go-to-market strategy, and competitive advantage.
For investors
Team
Three founders with complementary expertise in AI, engineering, and child development.
Will Talbott
PhD researcher in electron microscopy at the University of Manchester, working at the National Graphene Institute. Specialises in machine learning, data algorithms, and condensed-matter physics.
Built autonomous systems for Sellafield Ltd nuclear decommissioning and machine learning systems for plant health. Previously involved in commercial aspects of a startup exploring wireless charging for low-power EVs.
Completed EnterpriseTECH at Cambridge Judge Business School. Brings deep technical expertise and entrepreneurial experience to building safe AI for children.
Marton Gonczy
Machine learning and on-device AI specialist with expertise in autonomous drone systems using Visual SLAM and real-time object detection. Attended BMVA Summer School.
Created data augmentation systems for self-driving and plant-health classification devices. With Will, delivered projects in machine-vision flake finding, novel materials for medical devices, and AI logistics via CCTV.
Focuses on technology that supports attention and calm rather than exploiting it. Perfect background for building AI that engages children without overstimulation.
Yoel Gal
Full-stack engineer at Airbus building safety-critical systems. Expert in React, TypeScript, and modern web development with production experience in enterprise applications.
Open-source work includes cs-wizard (A-level CS revision app), portfolio, skillswapBackendService (peer-learning), and arc-cli (Arc Browser fork).
Brings aerospace production discipline to consumer apps, creating simple, reliable experiences parents can trust. Perfect for building robust, safe technology for children.
Contact
Get in touch with our team.
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