The firm makes strategic hire to accelerate market presence and client partnerships across the region.
LONDON, September 23, 2025 – Boltzbit, the deeptech AI company pioneering instant-learning models and the AGI 2.0 movement, today announced the appointment of Neil Weatherall as Business Development Lead, EMEA.
In this role, Weatherall will help drive Boltzbit’s strategic growth across the region, fostering partnerships and working closely with clients to ensure Boltzbit delivers meaningful value and innovative AI solutions tailored to the needs of financial institutions. His remit spans regional growth, partner development and strengthening Boltzbit’s presence across key markets in EMEA.
Weatherall brings more than 20 years of experience in financial markets, with a career that bridges sell-side trading, fintech innovation, client engagement and technical solution design. Before joining Boltzbit, he headed Technical Sales at a ipushpull, where he was responsible for pipeline generation and closed major deals with global brokers, exchanges and Tier 1 banks. Prior to that, Weatherall spent over a decade on sell-side trading desks, including senior leadership roles at RBC Capital Markets and RBS Global Banking & Markets.
“Organisations across EMEA are moving from AI exploration to real adoption. We need leaders who truly understand the intersection of technology, workflow and value creation. Neil brings deep market insight and a proven ability to bridge client needs with innovative solutions. We’re thrilled to have him driving our growth in the region,” said Dr Yichuan Zhang, Co-founder and CEO of Boltzbit.
Weatherall’s appointment strengthens Boltzbit’s commercial presence in EMEA as it continues its mission to deliver adaptive, ownership-centric AI that transforms workflows across the financial markets.
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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.