AlphaNet

Based in Hong Kong, AlphaNet specializes in an advanced AI trading platform that employs quantitative strategies for institutional investors, hedge funds, and high-net-worth individuals, enhancing trading performance and optimizing investment returns. AlphaNet is a quantitative AI trading platform based in Hong Kong, focusing on providing cutting-edge trading solutions for institutional clients. The company raised USD 10. 00 mn in Seed funding on April 15, 2026, led by Joffre Capital with participation from Huashan Capital.

There is no information regarding any previous funding rounds or company pivots. AlphaNet does not operate as a subsidiary nor has any known subsidiaries. The founder's history is currently not available. AlphaNet specializes in delivering an end-to-end institutional-grade quantitative AI trading platform that integrates advanced deep learning algorithms and proprietary frameworks for alpha discovery, computation, and algorithmic execution.

The platform offers over 33 different institutional-grade trading strategies that are deployable with a single click, catering to a diverse range of market conditions and risk profiles. This service targets institutional investors, hedge funds, and high-net-worth individuals, providing them with tools to optimize trading performance and achieve superior risk-adjusted returns. The platform is designed for both strategy selection and execution, allowing users to monitor their investments in real time and adjust their strategies as needed. AlphaNet's services are made accessible globally, with a particular focus on markets actively engaging in quantitative trading and algorithmic strategies, including North America and Europe.

AlphaNet generates revenue through a subscription-based model, offering tiered pricing plans that provide access to its suite of quantitative trading strategies and execution capabilities. Clients, primarily institutional investors and trading firms, engage with the platform to implement various automated trading strategies that maximize return on investment. The transactional structure involves clients subscribing to different service tiers based on their trading volume and strategy requirements, which could include flagship offerings such as proprietary deep learning-based strategies. Clients benefit from continuous access to advanced trading tools and resources, ensuring that they can effectively execute trades with minimal market impact and reduced costs.

Each transaction is designed to foster long-term partnerships, with users leveraging AlphaNet's technology to enhance their trading operations in a competitive market landscape. In April 2026, AlphaNet raised USD 10. 00 mn in Seed funding to support its transition from invitation-based access to broader availability in preparation for a public launch. The company is focusing on expanding its platform capabilities and is actively developing new features and products aimed at enhancing user experience.

The funding will facilitate the rollout of these updates and tools, enabling AlphaNet to enter new markets and increase its global presence.