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总部位于班加罗尔的NuSynth融资,拟用AI重新设计化学工艺Bengaluru-based NuSynth raises funding to use AI to redesign chemical processes

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总部位于班加罗尔的NuSynth Technologies最近在由Avaana Capital和Shastra VC共同牵头的种子轮融资中筹集了3.65亿印度卢比。公司计划将这些资金用于开发专有化学制造工艺,并加强其研发能力。NuSynth声称,它正在构建一个支持人工智能的平台,以重新设计化学合成路线,最初重点放在医药和电子化学品上。

Bengaluru-based NuSynth Technologies has recently raised ₹36.5 crore in a seed funding round co-led by Avaana Capital and Shastra VC. The company plans to use the funds to develop proprietary chemical manufacturing processes and strengthen its research and development capabilities. NuSynth claims that it is building an AI-enabled platform to redesign chemical synthesis routes, with an initial focus on pharmaceuticals and electronics chemicals.

它旨在开发能够降低制造成本、提高产率并使商业规模生产更高效的工艺。这些资金还将用于支持公司初始的专有工艺组合、规模化能力以及团队扩张。根据公司的说法,印度在过去二十年里扩大了其化学制造能力,但几种关键分子仍然依赖于复杂的多步骤合成路线。这些工艺可能涉及高昂的材料和能源成本、进口中间体和有害试剂,同时在商业规模放大过程中带来挑战。

It aims to develop processes that reduce manufacturing costs, improve yields and make commercial-scale production more efficient. The funding will also support the company's initial portfolio of proprietary processes, scale-up capabilities and team expansion. According to the company, India has expanded its chemical manufacturing capacity over the past two decades, but several critical molecules still depend on complex, multi-step synthesis routes. These processes can involve high material and energy costs, imported intermediates and hazardous reagents, while creating challenges during commercial scale-up.

NuSynth旨在通过重新评估起始材料、反应路径和过程经济学来开发替代路线,而不是对现有方法进行渐进式改进。其方法旨在提高生产效率、安全性和可持续性。人工智能的作用该公司的研发流程将化学工艺重新设计与预测性合成模型相结合。它还从每个开发计划的一开始就考虑原材料成本、可制造性、安全性和质量。NuSynth的人工智能引擎分析实验数据,并将其添加到专有知识库中。

NuSynth aims to develop alternative routes by reassessing starting materials, reaction pathways and process economics rather than making incremental changes to existing methods. Its approach is designed to improve production efficiency, safety and sustainability. Role of AIThe company's R&D process combines chemical process redesign with predictive synthesis models. It also considers raw material costs, manufacturability, safety and quality from the start of each development programme. NuSynth's AI engine analyses experimental data and adds it to a proprietary knowledge base.

该公司旨在利用这些信息来减少试错、改进分子选择,并缩短开发和扩大化学工艺所需的时间。Avaana Capital合伙人Shruti Srivastava表示,开发更高效且可商业化扩展的合成路线可以提升化学制造的经济性和资源效率。Shastra VC管理合伙人Avijeet Alagathi表示,NuSynth利用人工智能通过从实验中学习并减少试错,能够加速化学研发。

The company aims to use this information to reduce trial and error, improve molecule selection and shorten the time required to develop and scale chemical processes. Shruti Srivastava, Partner at Avaana Capital, said developing more efficient and commercially scalable synthesis routes could improve the economics and resource efficiency of chemical manufacturing. Avijeet Alagathi, Managing Partner at Shastra VC, said NuSynth's use of AI could accelerate chemical R&D by learning from experiments and reducing trial and error.

NuSynth的创始团队包括拥有制药行业经验并与全球客户建立了稳固关系的Poorvank Purohit。另一位联合创始人Ramesha A R拥有印度科学研究所的博士学位,并在华盛顿的美国国家卫生研究院进行了博士后研究,为公司带来了科学研发方面的专业知识。

NuSynth’s founding team includes Poorvank Purohit, who brings experience in the pharmaceutical industry and established relationships with global customers. Another co-founder, Ramesha A R, holds a PhD from the Indian Institute of Science and has conducted postdoctoral research at the National Institutes of Health in Washington. He brings scientific research and development expertise to the company.