Byte AI Pharmaceuticals initiates split financing, AI4S enters industrialization phase.

date
10/06/2026
It is reported that the AI pharmaceutical business unit of ByteDance has initiated the process of splitting and independent financing. It is reported that after the split, ByteDance will still hold the controlling stake in the new company, and the core team, core algorithms, technical platform, and existing pipeline assets of AI pharmaceutical will enter the new entity as a whole. At the same time, the business will continue to receive computing power support from the Volcano Engine. The new company will be led and managed by the ByteDance AI pharmaceutical team. The ByteDance AI pharmaceutical team was established in 2021 and is led by Liu Kai. It is reported that the core team consists of about 50 members, including AI4S algorithm talents and senior experts in the pharmaceutical field. Since its establishment, the team has been responsible for the core functions from basic model research to industrialization. Previously, the team responsible for protein structure prediction models within ByteDance has been integrated into the AI pharmaceutical team led by Liu Kai. The related algorithm model team has completed integration and will continue to promote research on basic models in this field, while a few personnel have resigned. The progress of ByteDance AI pharmaceutical business is an important foundation for the split financing this time. ByteDance has achieved multiple technological breakthroughs in the field of AI pharmaceuticals. In 2025, the ByteDance AI4S team released the molecular structure prediction models Protenix and Seedfold, and iterated Protenix-v1/v2 in 2026, building high-precision open-source structure prediction capabilities for biological complexes such as proteins and ligands. In terms of protein design and prediction, the team has also launched tools like PXDesign for protein binder design.
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Mou Yiling, Chief Strategy Officer of GuoJin Securities, stated that in this current round of AI capital expenditure, the proportion of global GDP is rapidly rising, supported by real economic growth. A comparable situation can be found in the growth cycle stocks during China's urbanization construction period after joining the WTO from 2005 to 2007. Currently, funds are focusing on embracing AI hardware. Valuations show that there is still room for growth in the global Philadelphia Semiconductor Index. The valuations of growth stocks in A-shares have expanded faster than some US stocks, with some profit pricing approaching the most optimistic levels of the 2005-2007 cyclical stocks. However, valuations are not a reason for market tops, as the market does not yet have the foundation to switch. Despite the slowdown in global non-US growth under the pressure of AI narratives, A-shares are hitting new highs, but the proportion of rising individual stocks is continuously decreasing. Mou Yiling believes that the current market has entered a high volatility state similar to early 2007. In terms of allocation, it is recommended to focus on actively defensive stocks, with a focus on dividends (crude oil, coal, electricity, and city commercial banks), followed by attention to technology upstream (semiconductors/AI materials, equipment, and manufacturing); After the AI suppression fades, mid-term attention should be on industrial metals, general equipment, specialized equipment, and going global. (Securities Times)
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