NEWS
Oxvalue.AI Honoured at Financial Times PWM Awards 2026 for Excellence in Alternative Investment Technology and AI Innovation
24 Apr 2026
Oxvalue.AI, a University of Oxford spinout and emerging leader in AI-driven valuation and alternative investment intelligence, has been Highly Commended at the prestigious Financial Times PWM Awards 2026 for Excellence in Alternative Investment Technology and AI Innovation. The recognition spans two highly competitive categories: Best Supplier for Alternative Investment Technology and Best Supplier for Use of AI.
The Financial Times PWM Awards were presented on Thursday, 23 April 2026, at an exclusive, invitation-only ceremony held at Glaziers Hall, bringing together senior leaders from global banking, private wealth management, investment technology, and financial innovation. The honour was received by Xiaolan Fu, Founder and Chairman of Oxvalue.AI.
Professor Xiaolan Fu was joined on this auspicious occasion by senior management and board members, including Professor Yu Xiong, Mr Edward, George Wang (Vice President), Eduardo Goean (Europe Director), and team member Amjad Suleman.

The prestigious Financial Times PWM Awards are widely regarded as a global benchmark of excellence in wealth management, celebrating innovation, performance, and leadership across the financial services industry. This achievement positions Oxvalue.AI within an elite tier of institutions shaping the future of finance. Fellow nominees and winners included leading global organisations such as Coutts, BNP Paribas Wealth Management, Julius Baer, Bank J. Safra Sarasin, Addepar, Zeidler Group, and JPMorgan Chase underscoring the accelerating importance of artificial intelligence, digital transformation, and innovation across private and institutional banking.
Our Founder Professor Xiaolan Fu commented: “Being Highly Commended at the Financial Times PWM Awards represents a significant milestone for Oxvalue.AI. It validates our vision to build the intelligence infrastructure for next-generation asset valuation. As intangible assets increasingly dominate enterprise value, our mission is to deliver clarity, trust, and scalable intelligence to investors worldwide.”
Professor Xiaolan Fu is a world-renowned expert in technology and development at the University of Oxford, a Fellow of the Academy of Social Sciences, and a member of the UN Secretary-General’ s Ten-Member Advisory Group for the Technology Facilitation Mechanism. Her work bridges high-level global policy with practical technological application. Under her leadership, Oxvalue.AI has successfully commercialised VEST (Valuation of Early-Stage Technology) a proprietary valuation platform combining large-scale datasets, advanced algorithms, and academic rigour to deliver objective financial valuations for startups, technology-driven companies, intangible assets, and alternative investment opportunities.
Oxvalue.AI was recognised for its pioneering approach to redefining how alternative assets and intangible value are assessed. By leveraging advanced AI models, proprietary valuation frameworks, and large-scale data intelligence, the platform empowers investors, institutions, family offices, and governments to unlock deeper insights and identify new sources of opportunity in increasingly complex markets. At its core, Oxvalue.AI addresses one of the most profound structural shifts in global finance: the rise of intangible and alternative assets as dominant drivers of enterprise value.
At OxValue.AI, we continue to expand our international footprint through partnerships with financial institutions, family offices, enterprises, and governments, delivering next-generation valuation intelligence and data-driven investment insights, while positioning ourselves at the forefront of the rapidly evolving alternative investment and AI-driven finance ecosystem.
———————————————————————————————————————
About OxValue.AI
OxValue.AI is a pioneering technology spin-off from the University of Oxford. Specializing in AI-empowered valuation methods, OxValue.AI provides accurate and dependable solutions, employing comprehensive databases and industry-specific AI algorithms developed for various sectors.
