Boltzbit strengthen strategic direction and operational scale as the company expands its AI mission.
LONDON, October 2, 2025 – Boltzbit, the deeptech AI company pioneering instant-learning models and the AGI 2.0 movement, today announced the appointment of Alex Lindsay as its new Head of Strategy & Operations.
In this role, Lindsay will lead Boltzbit’s strategic planning while also overseeing day-to-day operations, ensuring the company can scale effectively as organisations adopt adaptive AI. His work will span company-wide strategy development, operational execution and the structures that support client delivery and growth.
Lindsay joins Boltzbit after more than five years in financial-services consulting at Capco, where he led cost-optimisation, operating-model redesign and revenue-growth programmes for Tier 1 global banks. Alongside his consulting career, he has launched two businesses, bringing an entrepreneurial mindset and a practical approach to building and scaling teams. He holds a Bachelor’s degree in Economics.
“As organisations embrace adaptive AI, our ability to scale becomes essential. Alex brings a rare combination of strategic insight and operational discipline that will help guide Boltzbit through its next phase of growth. I’m delighted to welcome him,” said Dr Yichuan Zhang, Co-founder and CEO of Boltzbit.
Lindsay’s appointment strengthens Boltzbit’s strategic direction and operational foundation as the company advances its mission to make GeneralLearning Intelligence and the power of AI accessible to all.
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Boltzbit isa deeptech AI startup headquartered in London, on a mission to make GeneralLearning Intelligence (GLI) and the power of AI accessible to all. Founded in2020 by former Google AI researcher Dr Yichuan Zhang and former Microsoft AIresearcher Dr Jinli Hu, the company builds on academic research into Boltzmann machines to develop generative models capable of instant learning that surpass the limitations of traditional pre-trained transformers.
Boltzbit’s instant-learning large language models are already in production, powering real-world applications across financial services, insurance and high-growth technology sectors. The company is part of the emerging AGI 2.0 movement, representing an evolution from model-centric AI (AGI 1.0) to context-centric, continuously learning intelligence.
