The AI-driven new materials design and clever R & D enterprise, Rhinovate™, introduced the completion of tens of hundreds of thousands of yuan in angel spherical financing, collectively led by Kunzhong Capital and Yuansheng Venture Capital. The funds from this spherical of financing shall be primarily used for crew enlargement, core algorithm R & D, and product implementation.
The firm is constructing the RhinoWise™ clever materials innovation platform. With the AI + new materials closed-loop structure of “design – simulation – preparation – characterization”, it goals to attain a leapfrog enchancment in materials R & D effectivity from a number of years to a number of months.
Rhinovate was based in July 2025. The venture crew was incubated on the Shenzhen-Hong Kong Hetao Science and Technology Innovation Center of Peking University Shenzhen Graduate School. It consists of high home materials scientists, materials computing, and synthetic intelligence specialists, with wealthy expertise in scientific analysis and utility follow. It is one of the few high groups in China with full-stack R & D capabilities in “experiment – theory – model – design – process” and industrial service expertise. The crew is dedicated to constructing a brand new technology of clever R & D infrastructure platform for AI for Materials, integrating full-stack applied sciences comparable to high-throughput experimental characterization, clever spectroscopy evaluation, giant mannequin prediction, structural efficiency evaluation, and autonomous experimental design and large-scale preparation. From information to utility, and from experiment to design and manufacturing, it offers a full-life-cycle answer for brand spanking new materials R & D.
Currently, AI is reshaping the paradigm of scientific R & D. Among them, new supplies are one of essentially the most promising utility areas for industrialization. The discovery, design, and verification of new supplies extremely depend on multi-modal advanced information and cross-scale experimental programs, that are extraordinarily appropriate for the training and optimization traits of AI fashions. The international AI for Science subject is transferring from algorithm breakthroughs to the platform integration stage of “model + data + experiment”, and supplies science is on the forefront of this integration. Google DeepMind launched a brand new AI software, GNoMe, which efficiently predicted 2.2 million crystal buildings, revolutionizing the sector of supplies science. The newest diffusion mannequin, MatterGen, developed by the Microsoft crew, is particularly designed to generate novel and steady supplies, significantly bettering the pace of designing supplies with desired properties. According to predictions by a number of worldwide establishments, AI-driven materials innovation will launch trillions of {dollars} in manufacturing dividends for the worldwide manufacturing trade earlier than 2030.
Based on the self-developed RhinoWise™ pushed by a big materials mannequin agent, Rhinovate has made a qualitative leap in the flexibility to grasp and predict chemical information and context in comparison with different giant fashions. Through the GenAI-driven RhinoWise™ automated experimental platform, it will possibly autonomously full the whole course of of supplies from “design – simulation – preparation – characterization”, reaching tremendous automation in eventualities comparable to scientific analysis experiments and manufacturing operations. AI fashions and instruments speed up materials innovation and industrialization in areas comparable to aerospace composite supplies and semiconductor supplies, forming a sustainable and iterative materials R & D ecosystem, and bringing materials design into an clever period of computability, predictability, and iterability.
Currently, Rhinovate’s product companies will cooperate with main enterprises in the home chemical and new power fields to kind a one-stop service functionality of “Solution + Tools + Services” for precise enterprise utility eventualities, implement benchmark purposes for AI for Science, and rapidly discover a viable enterprise mannequin.
Lu Haifeng, CEO of Rhinovate, mentioned that the success of this spherical of financing is because of the market’s double recognition of the AI + supplies monitor and the Rhinovate crew. With the event of AI, the innovation logic of supplies science can also be altering: future breakthroughs won’t solely rely upon the dimensions of experiments or computing energy, however extra importantly, whether or not we will increase really beneficial questions, effectively confirm options in the true world, and in the end construct a sustainable and reproducible R & D closed-loop and innovation ecosystem. Rhinovate is such a crew deeply concerned in the intersection of supplies science and AI expertise, dedicated to deeply integrating data-driven analysis strategies with trade data and selling the transformation of the brand new materials R & D paradigm in the AI period.
About this spherical of financing
Wang Jun, the founding associate of Kunzhong Capital, mentioned:
Materials science is present process an AI-driven paradigm revolution. From Google’s GNoME to Microsoft’s MatterGen, international expertise giants are accelerating their structure in this trillion-dollar monitor. The conventional materials R & D cycle of 10 – 20 years has develop into the most important bottleneck proscribing industrial innovation. The Rhinovate crew has the “dual-core” benefit of each supplies science basis and AI expertise energy. The AI closed-loop platform of “design – simulation – preparation – characterization” it has constructed shouldn’t be a easy mixture of applied sciences, however a scientific answer ranging from industrial ache factors. From new power batteries to semiconductor supplies, they’re compressing the fabric R & D cycle from a number of years to a number of months. Kunzhong Capital has lengthy been involved about laborious expertise innovation that may reshape industrial effectivity. Relying on the innovation ecosystem of Peking University and the Shenzhen-Hong Kong Hetao space, Rhinovate has achieved environment friendly connection between tutorial frontiers and industrial wants. We consider that Rhinovate has the potential to develop into a number one enterprise in the AI + new supplies subject in China.
Liu Xiao, the managing director of Yuansheng Venture Capital, mentioned:
AI for Science is on the important level the place the scientific analysis paradigm and industrial paradigm meet. We consider that the worth of AI in the sector of supplies science will first obtain a leap from a scientific analysis software to an industrial infrastructure. Rhinovate has constructed a brand new R & D closed-loop on the three ranges of algorithm, experiment, and information by way of an interdisciplinary and systematic strategy. Its follow in the fields of carbon-based supplies and high-throughput experiments offers a Chinese pattern for AI-driven materials innovation. We are optimistic concerning the execution skill of the Rhinovate crew in each scientific analysis implementation and industrial collaboration, and we additionally consider that the corporate will speed up R & D innovation and obtain win-win worth in cooperation with main materials enterprises.