Strategic hire positions the firm for accelerated product innovation and market expansion.
LONDON, October 8, 2025 – Boltzbit, the deeptech AI company pioneering instant-learning models and the AGI 2.0 movement, today announced the appointment of Adam De Rose as its new Head of Product.
In this role, De Rose will focus on designing intuitive, high-impact solutions that meet the evolving needs of Boltzbit’s users and help shape the future of AI technology. His work will centre on creating products that translate complex intelligence into practical, accessible tools that drive real value.
Adam joins Boltzbit with more than two decades of experience across fixed-income product management, sales engineering and commercial leadership. Prior to Boltzbit, he spent over ten years at SS&C Eze, where he directed the global product roadmap, supported regulatory responses for MiFID II, and helped shape advanced workflow solutions for the buy side. His earlier career includes roles in hedge-fund EMS sales at TradingScreen, where he contributed to the launch of Javelin Capital and later became the firm’s Head of Trading, with additional responsibilities in portfolio construction and risk analysis at Goldman Sachs Asset Management. He holds a BSc in Money, Banking and Finance from the University of Birmingham.
“Building the future of AI requires products that translate intelligence into real-world impact. Adam brings the rare ability to bridge deep technical understanding with practical product execution. His leadership will be instrumental as we design solutions that make adaptive AI truly usable and valuable for our clients. I’m thrilled to welcome him to Boltzbit,” said Dr Yichuan Zhang, Co-founder and CEO of Boltzbit.
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Boltzbit is an AI research company headquartered in London, developing General Learning Intelligence (GLI). Founded in 2020 by former Google AI researcher Dr Yichuan Zhang and former Microsoft AI researcher Dr Jinli Hu, the company builds on academic research into Boltzmann machines to develop generative models capable of live learning in production.
Its models are designed to address the limitations of traditional pre-trained transformers by continuously adapting to new data and environments. Boltzbit’s technology is already in production, powering applications across financial services, data, and high-growth technology sectors.
The company is part of a new wave of research focused on moving beyond static, model-centric AI toward adaptive, context-driven intelligence, an approach referred to as AGI 2.0. For more information, visit www.boltzbit.com.