Tiger Brokers, an online brokerage firm, has recently revealed that it has embedded DeepSeek’s model into its AI-powered chatbot. The DeepSeek-R1 model integrated into TigerGPT signifies a strategic move made by the firm to enhance the platform’s capabilities and user experience. The move comes amid brokerages and money managers racing to leverage the start-up’s artificial intelligence breakthrough.
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Other Chinese brokers and fund managers who have integrated DeepSeek’s model include Sinolink Securities, CICC Wealth Management, and China Universal Asset Management. Their integrations have allowed them to radicalize how they conduct research, manage risks, make investment decisions, and even interact with clients.
The R1 model will allow Tiger Brokers to help customers analyze valuations, and make trading decisions and as Wu Tianhua, Tiger Brokers’ founder and CEO puts it, “feel the beauty of investment”, all by tapping on their financial data.
“Its impact is real. It’s no longer a concept, or a marketing trick,” he told Reuters in an interview.
Chinese firms may be integrating DeepSeek fast into their operations, but tech firms in the US are racing hard to develop their own. In the latest news, Elon Musk’s artificial intelligence startup xAI has revealed the Grok-3 model, a version of its chatbot that is launched to rival OpenAI merely days after Musk’s unsolicited cash bid to buy the company was rejected.
Grok-3 is available to Premium+ subscribers on X. The service costs $22 a month. In comparison, full access to OpenAI’s GPT-4o costs $200 a month. xAI has also revealed its plans to start a new subscription called SuperGrok for the bot’s mobile app and Grok.com website. Bloomberg reported that xAI plans to open-source preceding versions of Grok models as soon as the latest one is fully mature. This move coincides with similar ones made by other AI firms after the launch of DeepSeek’s AI models, reflecting a broader AI trend toward transparency and collaboration.
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A scientist at a computer station, surrounded by a neural network of artificial intelligence code.
10. Safe Pro Group Inc. (NASDAQ:SPAI)
Number of Hedge Fund Holders: N/A
Safe Pro Group Inc. (NASDAQ:SPAI) leads in artificial intelligence-driven drone imagery analysis for humanitarian mine-clearing efforts. On February 18, the company announced that its subsidiary, Safe Pro AI, will be presenting its patented Drone AI-powered SpotlightAI technology at XPONENTIAL Europe in Düsseldorf, Germany from February 18th to February 20th, 2025. The company will be showcasing its work in Ukraine, where its proprietary AI models have now analyzed more than 945,000 drone images and highlighted over 19,250 explosive remnants of war (ERW) across 4,355 hectares. SpotlightAI™ operates at lightning speed on the Amazon Web Services (AWS) cloud, analyzing each drone image in less than 0.2 seconds. The technology can play a potential role in recent Ukraine/Russia ceasefire initiatives.
“We are honored to present our disruptive American AI capabilities to leading international authorities at this pivotal point in time as global leaders are meeting in Europe to discuss the future security needs of Ukraine. Being chosen to present at flagship global events such as XPONENTIAL affords us the opportunity to bring greater attention to our firm and how our technology can support our allied nations in their global missions”.
– Dan Erdberg, Chairman and CEO of Safe Pro Group Inc.
9. Bullfrog AI Holdings, Inc. (NASDAQ:BFRG)
Number of Hedge Fund Holders: 1
Bullfrog AI Holdings, Inc. (NASDAQ:BFRG) is a technology-enabled drug discovery company that uses artificial intelligence to usher in the next generation of lifesaving therapies. On February 9, the company announced its CEO, Vin Singh, alongside guest, Daniel R. Weinberger, M.D., Director and CEO of the Lieber Institute for Brain Development (LIBD), will be participating in a fireside chat hosted by RedChip Companies on March 5, 2024. The chat will discuss early findings from BullFrog AI and LIBD’s collaboration.
Their collaboration has successfully stratified brain expression data to offer insights into psychiatric conditions such as schizophrenia, bipolar disorder, and major depressive disorder. The partnership allowed clustering subjects based on biological data alone, despite their behavioral diagnoses. The findings from the study have the potential to enhance understanding of psychiatric conditions, develop more targeted, effective treatments, and initiate revenue-generating partnerships with pharmaceutical companies.
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