Recently, Ant Data officially announced the internal testing of its professional-grade lobster product (Claw) - DTClaw, marking the company's official entry into the professional AI agent market. Unlike mainstream "general-purpose" assistants in the current market that can only handle document organization, meeting minutes, and basic data collection, DTClaw is precisely positioned as a "professional" AI, aiming to provide round-the-clock online dedicated AI agent services for in-depth professionals such as financial experts, financial advisors, and data analysts.
In terms of technology, DTClaw emphasizes the "native expert" attribute. The platform integrates hundreds of professional skills (skills) and pre-installs a large number of mature "cooked lobster" templates, with application scenarios accurately covering high-value fields such as investment and finance, complex data analysis, software development, and automated testing. Through this plug-and-play deployment model, professional users do not need to train models from scratch, significantly improving the efficiency of business adaptation while effectively reducing the cost of Token consumption.
Under the industry trend of AI agents evolving from "assistants" to "experts," Ant Data's move demonstrates its strategic intent to deepen its presence in vertical industries and achieve an AI productivity loop.
