Realtime AI News
Zhaogang.com-W launches NextB2B, an AI agent for the trading industry
Zhaogang.com-W (06676) has launched NextB2B, an AI agent built for the trading industry, according to a Moomoo report. The move extends the company from its platform business toward AI-powered tools for trade workflows.
Zhaogang.com-W (06676) has launched NextB2B, an AI agent for the trading industry, according to a Moomoo report.
The announcement positions NextB2B as an AI assistant aimed at trading-industry workflows, marking the company's latest step from running a trading platform toward offering intelligent tools.
The launch is another sign of AI agents moving into vertical industries, where information-heavy and complex processes are seen as strong use cases.
For Zhaogang, introducing NextB2B means extending its industrial services into AI, using agents to improve efficiency across trading operations.
More industrial companies are betting on AI agents as a new growth area, and competition in vertical agent solutions is heating up, with Zhaogang's entry as the latest example.
What to watch next: the specific capabilities of NextB2B, its first deployment scenarios, and how well it performs in real trading operations.
Why it matters
Zhaogang's NextB2B launch shows AI agents penetrating vertical trading scenarios, adding new momentum to competition in industry-specific agent solutions.
Nearby Updates
All09/02, 09:07
Fei-Fei Li's World Labs unveils Atlas, billed as the world's first multimodal world model
World Labs, founded by Fei-Fei Li, has released Atlas, which it calls the world's first multimodal world model — generating images and video with pixel-level camera control from a single photo and reconstructing 3D scenes. The model can also turn a few photos into realistic robot training data, a key step on the real-to-sim path for embodied AI.
09/02, 09:31
Anthropic admits security failures behind AI hacking incidents, says models 'not perfectly aligned' with human values
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09/02, 06:50
ClawBench benchmark: Claude, GPT and Gemini agents fail 33% of tasks on real websites
A new benchmark called ClawBench tests AI agents on real websites, and the results show Claude, GPT and Gemini agents collectively failing 33% of tasks. The findings expose the gap between frontier agents' strong lab scores and their reliability in messy real-world conditions.
09/02, 10:06
Hong Kong's first open-scene service robot starts work as a bartender in Lan Kwai Fong
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