Boltzbit appoints Leonid Belov as Head of Client Success
The firm expands leadership team to support growing demand for real-time, adaptive AI across financial services.
LONDON, December 8, 2025 – Boltzbit, the deeptech AI company pioneering live-learning models and the AGI 2.0 movement, today announced the appointment of Leonid (Leo) Belov as Head of Client Success. In this newly created role, he will lead the firm’s client success strategy, ensuring seamless onboarding, proactive support, and strong, long-term partnerships that help customers realise the full value of Boltzbit’s technology.
Belov joins Boltzbit from Depowise, where he led the UK & Ireland business and drove the integration of AI into client workflows. He brings more than 15 years of experience in financial services across senior client-facing roles at BlackRock, State Street, MSCI, and Bloomberg.
“Live-learning large language models represent a new class of enterprise capability and one that requires thoughtful adoption, close collaboration, and ongoing partnership,” said Dr. Yichuan Zhang, CEO and co-founder of Boltzbit. “Leo combines deep industry knowledge with a genuine commitment to client advocacy. His experience helping institutions adopt advanced technologies makes him an ideal leader as more firms put Boltzbit at the centre of their data and decision-making processes.”
Belov will be based in London and will work closely with Boltzbit’s product, engineering, and commercial teams as the company expands its client base.
About Boltzbit
Boltzbit is a deeptech AI startup headquartered in London, on a mission to make General Learning Intelligence (GLI) and the power of AI accessible to all. 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 that surpass the limitations of traditional pre-trained transformers.
Boltzbit’s live-learning large language models are already in production, powering real-world applications across financial services, data 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.
