Waton 启动 MoTA，面向测试版的 AI 原生投资平台

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Waton Financial has launched limited beta access to MoTA, an AI-native investment-team platform designed for professional investors and portfolio managers. The platform, previously known as TradingWTF, allows users to build and supervise teams of AI agents assigned to different functions including research, analysis, risk management, and execution. This launch reflects a broader industry push toward applying generative AI and autonomous agent frameworks to institutional investment processes, an area attracting growing interest from fintech firms, hedge funds, brokerages, and trading technology providers. Waton stated that human review and final approval remain mandatory within the system, positioning MoTA as a supervised workflow environment rather than a fully autonomous trading engine.

Platform Architecture and Differentiation

Unlike earlier AI trading products focused on single-model automation or conversational assistants, MoTA is structured around collaborative AI workflows where multiple specialized agents operate simultaneously across distinct investment functions. Waton described the platform as an “AI-native investment-team workbench” built for professional investors rather than retail users.

The beta version currently allows invited users to create AI agent teams, preview trading decisions and risks, and supervise workflow outputs through structured oversight controls. The company emphasized that investors retain full control through mandatory human review and sign-off procedures, a point likely intended to address growing concerns around autonomous AI decision-making in regulated financial environments.

Strategic Positioning and Regulatory Alignment

Zhou Kai, Chairman of Waton Financial Limited, commented: “The launch of MoTA represents a firm step forward, as Waton adapts to the AI era as a financial technology services provider. We have built and are continuously upgrading our AI products. We expect that MoTA will allow us to better position ourselves in the transformation of financial services in the AI era by enabling structured, human-supervised multi-agent collaboration. We believe this is an important milestone in our ongoing product development.”

Regulators globally continue examining how AI systems should operate within investment and brokerage activities, particularly around explainability, accountability, risk management, and operational oversight. By positioning MoTA as a supervised workflow environment, Waton appears to be aligning its strategy more closely with emerging compliance expectations surrounding AI deployment in finance.

Agent Talents Market and Platform Economics

Waton disclosed plans for a future “Agent Talents Market” where external creators will be able to build and distribute AI agents through subscription-based models operating on Waton’s infrastructure. According to Waton, the company itself will not control or access the internal logic of creator-built agents operating on the platform.

This marketplace concept mirrors broader trends emerging across AI ecosystems, where platforms increasingly attempt to create economies around reusable AI tools, models, and autonomous workflows. The concept introduces similarities to app-store style infrastructure where developers and creators can distribute specialized AI agents across broader financial workflows.