Theia Insights raises $6.5M to bring foundational AI to investment community

Theia Insights, a deeptech startup based in the UK, founded by former Amazon Alexa scientist and solo entrepreneur, Dr Ye Tian, has secured £6.5 million in funding. This investment is a testament to the growing interest of US venture capital in the UK's innovative technology sector.

The funding round was spearheaded by Silicon Valley's Unusual Ventures, with contributions from Fidelity International Strategic Ventures and Clocktower Ventures based in LA, as well as several strategic angel investors.

The company's products and solutions are grounded in both academic and proprietary research, embracing cutting-edge developments in AI, machine learning, Natural Language Processing (NLP), Large Language Models (LLM), and advanced financial mathematics technologies.

In an era where the global economy is remarkably dynamic, with companies spanning multiple verticals and an overwhelming influx of information and data, the need for sophisticated technologies to navigate this landscape is paramount. Theia Insights was established to address this need, aiming to develop robust foundational AI tools that are equipped to adapt to today's rapidly evolving world.

Dr Ye Tian, Founder and CEO of Theia Insights said, “We live in the age of data overflow — everything from geopolitics to financial filings, to social media and news. It’s often overwhelming and easy to get lost in the noise. But good investment decisions require clarity, and that is where AI can play an unrivalled role — by lifting us from the valley to the mountaintop, so we can choose the paths we want to take by seeing where every path leads and how they connect.”

With an academic background in Natural Language Processing (NLP) and AI, former research scientist at Amazon Alexa, Dr. Ye Tian has assembled a highly skilled team of experts from Nasdaq, Morgan Stanley, Meta, UC Berkeley's Economics Department, Amazon Alexa, AWS and the University of Cambridge's Computer Science Department. The company is named after “Theia” the Goddess of Sight, with the mission of synthesising and distilling vast amounts of information so investors can see clearly.

This financing round has afforded Theia the opportunity to attract industry-leading talent from conventional classification and risk management firms, as well as individuals at the very forefront of the rapid recent advancements in AI. This carefully managed expansion of the firm’s pool of exceptional human resources is being matched by ongoing investment in ambitious commercial projects and research initiatives.

Lars Albright, General Partner at Unusual Ventures commented “We believe that data infrastructure in the asset management sector will continue to go through substantial change and advancement through the adoption of AI. The shortcomings around legacy industry classification systems and the lack of dynamic insights on risk factors driving investment decisions is a pressing issue. After meeting and getting to know Theia, we were impressed with their bold vision, their technical ability and the team they have assembled to tackle this substantial problem.”

Fidelity International Strategic Ventures also supported Theia in the round. Principal, Erik Mostenicky said, “Theia Insights' team's strong academic expertise in AI and natural language processing uniquely positions them to tackle many technically challenging problems affecting the investment industry, and we are excited to support them on this journey. Their products have already attracted significant interest from major industry players, and we believe they have the potential to redefine and revolutionise portfolio construction and risk monitoring processes in the future.”

Theia Insights serves a diverse range of corporate clients, such as asset and wealth managers, ETF issuers, Index providers, investment banks, fintechs and the broader financial services ecosystem. In partnership with some of the world’s largest and most well-known organisations in the space, Theia is developing three core technologies: dynamic industry classification, thematic risk models, and portfolio analysis.