Longbridge Securities is expanding its artificial intelligence strategy beyond its namesake trading platform, introducing tools that allow external AI assistants to access brokerage functions as the company grows its presence across Asia.
The brokerage’s latest AI strategy centers on LongbridgeAI, alongside a suite of developer tools designed to connect brokerage services with external AI assistants. The company said the platform is intended to bring institutional-grade research and decision-support capabilities to retail investors.
The rollout is enabled through Longbridge’s application programming interface (API), the Model Context Protocol (MCP)—a standardized protocol that allows AI applications to communicate with external systems—and AI “skills,” which enable compatible assistants to perform predefined brokerage-related tasks.
Through these integrations, users can retrieve market data, monitor portfolios, analyze news, and prepare trades using AI assistants such as ChatGPT, Claude, Gemini, Cursor, and Codex. According to the company, users remain responsible for investment decisions and trade confirmations, while Longbridge provides connectivity and order placement capabilities.
Longbridge also frames the offering around what it calls the “Invest Loop,” a workflow spanning market observation, analysis, trade planning, order placement, and post-trade review.
The rollout comes as Longbridge expands its operations in Singapore, where it recently opened a new headquarters at Asia Square and announced plans to further grow its regional presence. The brokerage already offers access to markets including Hong Kong and the US, covering products such as stocks, exchange-traded funds (ETFs), real estate investment trusts (REITs), warrants, and options, subject to local market regulations.
The move reflects a broader shift among brokerages as they explore how AI can be incorporated into investing workflows, while seeking to differentiate beyond lower commissions, faster onboarding, and increasingly similar app-based trading features.
Early deployments largely centered on AI assistants embedded within brokerage applications, allowing investors to summarize earnings reports, screen stocks, or ask questions about market developments.
Tiger Brokers was among the first to introduce such a feature with TigerGPT in 2023, while Moomoo, operated by Futu Holdings, has since developed similar AI capabilities. These tools primarily function as research and information assistants within their respective platforms rather than discretionary robo-advisors.
More recently, brokerages have begun extending AI beyond their own applications. Interactive Brokers introduced integrations that allow clients to connect external AI assistants—including ChatGPT, Claude, and Grok—to brokerage accounts for portfolio analysis, market research, and trade preparation, subject to user review and authorization. Moomoo has also introduced API-based AI capabilities that enable external assistants to monitor markets and assist with trading workflows under user approval.
Longbridge’s latest rollout aligns with that broader direction. Rather than limiting AI functionality to its proprietary application, the company is exposing brokerage capabilities through APIs, developer tools, and AI integrations that allow compatible assistants to interact with brokerage services through natural-language conversations.
That places Longbridge alongside other brokerages developing AI-enabled infrastructure, with its positioning reflecting both its technology rollout and its expanding regional footprint. The company supports multiple markets across Asia and the US and has increasingly emphasized Singapore as its regional base.
The approach also reflects a wider trend in wealth management, where firms are evaluating how generative and agentic AI can improve client engagement, research, and operational efficiency. The technology remains at an early stage, however, and issues related to governance, data security, and regulatory oversight continue to accompany broader adoption.
AI-enabled brokerage features likewise remain nascent. Their long-term effectiveness, user adoption, and security have yet to be fully established, particularly as firms balance convenience with safeguards around authorization, data access, accuracy, and regulatory compliance.
For Longbridge, its latest AI initiative adds another layer to its regional expansion as brokerages test new ways for investors to interact with account data, market information, and trading tools.
This article was published in partnership with Hashmeta.