About TalentQuill
Most organisations are investing in AI — tools, subscriptions, training — without a reliable way to know whether it's working.
They can measure sales performance, coding output, and communication skills. But AI fluency, arguably the most consequential competency of this era, gets treated like a feeling. Companies assume their teams are adapting. They rarely know.
TalentQuill was built to close that gap.
We measure AI fluency against four dimensions of judgment that describe what a professional actually does when AI is part of their work. Our proprietary framework rests on one insight that shapes everything else: what it means to work effectively with AI looks fundamentally different depending on what you do. A finance analyst and a product manager face different AI imperatives. They should be assessed accordingly.
TalentQuill is built for organisations that have adopted AI tools but lack the knowledge and tools to measure its impact.
Our Mission
To give every business leader the knowledge, tools and data they need to build an AI-ready workforce that delivers on the promise of AI productivity.
Meet the founders
Stephen Tracy
Co-Founder & Chief Experience Officer (CEO)
Stephen Tracy is an award-winning data and AI expert whose career has taken him around the world, from North America to South East Asia. Previously, he co-founded Milieu Insight, a Singapore-based and venture-backed consumer research platform operating across eight markets. He also served as Chief Data Officer at a US fintech, and previously held senior positions at some of the world’s biggest advertising agencies and data providers, including IPG (now part of Omnicom), Publicis and YouGov.
Stephen's career has taken him from analyst to CDO, Singapore to Toronto, and boardrooms to more than 250 conference and event stages. His online courses have reached over 50,000 students through platforms like Udemy and Coursera. A consummate educator at heart, he also runs a blog where he writes about all things data and AI, and is the creator and host of the Empirical Storytellers Podcast, featuring guests with expertise in data, AI, and leadership.
Gary Ang, PhD
Co-founder & Chief Thinking Officer (CTO)
Gary Ang led AI risk supervision at the Monetary Authority of Singapore (MAS), where he developed the nation's first AI risk management guidelines for the financial sector. Previously, as division head for investment risk management, he oversaw the risk management of Singapore's official foreign reserves. He currently provides training for and partners with institutions including MAS, the Association of Banks in Singapore, the Singapore College of Insurance, the Wealth Management Institute, the Toronto Centre, and the Cambridge Centre for Alternative Finance. Additionally, he serves on Rutgers Business School’s Master of Quantitative Finance Advisory Board.
Gary holds a PhD in Computer Science, with research focused on deep learning for networks, time series, and multimodal data published at top venues such as ACL and ACM conferences. His recent publications cover AI governance, risk management, and workforce transformation. He also holds Master's degrees in Financial Engineering and Knowledge Engineering from NUS and is recognized as a LinkedIn Top Voice on AI.
Find out more about him at quaintitative.com.