Participated · Series D · Jan 2026

WeLab provides consumer financing, digital banking services, and technology solutions underpinned by proprietary risk-management technology, privacy computing techniques, and AI capabilities. The company operates across Hong Kong, Mainland China, and Indonesia, running two licensed digital banks—WeLab Bank in Hong Kong and Bank Saqu in Indonesia—and claims WeLab Bank is the territory’s largest digital bank by revenue. WeLab’s ecosystem reaches over 70 million individual users and more than 700 enterprise clients. With a recently announced AI-first strategic partnership with Google, the firm intends to develop AI agents, drive hyper-personalization, and modernize its marketing to boost engagement and efficiency. Proceeds from its latest financing will fund accelerated expansion in Southeast Asia, broaden its product suite, and support platform upgrades and strategic M&A. Management highlights the company’s scale and operational experience as a foundation for becoming a leading regional digital bank in Asia.

Participated · Series A · Jan 2015

Rubikloud provides a cloud-native platform and two flagship applications that automate mass promotional planning and loyalty-driven marketing for multi-billion-dollar retailers. The platform automates OLAP data integration with legacy retail applications and data warehouses, enabling instant deployment of AI applications. Those AI applications deliver automated instructions to execution layers such as retailers’ ERP, supply chain systems, marketing automation tools, and in-store experiences. Rubikloud currently works with some of the world’s largest retailers. The company has raised $45M to date and will use the new funding to expand its offices into Europe and Asia. The company is led by CEO Kerry Liu and is headquartered in Toronto, Canada. Rubikloud provides a platform that consolidates, normalizes and analyzes messy retail data across multiple systems and pushes actionable insights directly to retailers. The company began by helping online retailers boost conversion during checkout but expanded to serve omnichannel and brick-and-mortar retailers after recognizing most sales occur offline. Early customers in the fashion, health and beauty verticals generate about $25 billion in sales annually, and Rubikloud aims to increase those sales by identifying and engaging high-value customers. Retailers connect their data stores to Rubikloud’s system so they do not need to build in-house data solutions or hire expensive consultants. To scale, Rubikloud plans to grow headcount from 13 to roughly 25–30 by year-end, increase its data science team and expand further in North America and China. The company has raised external funding to support this expansion, including a recent Series A. Rubikloud offers a unified big-data platform that connects directly to customers' backend infrastructure and siloed analytics systems to analyze origin and performance data and surface conversion and revenue insights. The product installs in about half an hour and includes custom connectors and a dashboard that enables real-time queries (for example, comparing browser performance by geography and resulting conversion rates). The company has been testing its platform in beta with about half a dozen clients and has grown its team from three to seven employees. Rubikloud was founded by Kerry Liu, Daniel Theirl, and Frank Thomas and is based in Toronto. Financially, the company has secured seed funding to support development and commercialization. It expects to publicly launch its product early next year.