广告
加载中

袋鼠妈妈参投 AI原料公司MetaNovas又完成两轮融资

亿邦动力 2026-03-17 20:20
亿邦动力 2026/03/17 20:20

邦小白快读

EN
全文速览

MetaNovas完成A+和A++两轮融资,投资方包括袋鼠妈妈、富华资本和高瓴资本。

1. 该公司用AI开发新分子,应用于美妆、个护和功能性食品领域。

2. 已与欧莱雅、拜尔斯道夫、宝洁等大品牌合作。

技术突破显著提升研发效率。

1. AI筛选和设计分子合法合规,兼顾性能和工艺。

2. 研发周期从几个月缩短至几周,成功率提升至60%以上。

3. 新分子完成全球新材料备案,应用于中美化妆品和医疗器械产品线。

实际应用案例丰富。

1. 与欧莱雅合作研究抗衰成分,AI处理2800万篇科研文件筛选候选分子。

2. 与环亚集团合作AI筛选人参高效成分,用于美肤宝反重力面霜2.0。

3. 自主研发AI多肽原料AMP33完成医疗器械备案,用于医美创面护理。

MetaNovas的AI技术为品牌产品研发提供新路径。

1. 与欧莱雅合作研究AI精准筛选抗衰成分,提升研发精准度。

2. 与环亚集团合作应用AI筛选人参成分于美肤宝面霜,展示实际产品创新。

3. AI设计分子合法合规,兼顾性能,可应用于美妆、个护和功能性食品。

消费趋势显示AI驱动创新。

1. 研发周期缩短至几周,成功率超60%,加速新品上市。

2. 应用扩展至医美领域如AMP33原料,满足用户术后护理需求。

3. 合作案例包括大品牌如宝洁,反映行业对AI技术的认可。

MetaNovas融资事件带来增长市场机会。

1. 完成A+和A++轮融资,投资方包括知名资本如高瓴资本,显示行业潜力。

2. AI技术缩短研发周期至几周,提升成功率达60%以上,降低新品开发风险。

3. 应用领域从美妆扩展至医美如AMP33原料,开拓新市场。

合作模式提供可学习点。

1. 与若羽臣深度合作,帮助从基因层面剖析用户群体开发原料和配方。

2. 与环亚集团等合作案例展示AI筛选成分的实际应用,可复制到其他产品。

3. 新分子完成全球备案,合规性强,减少政策风险。

MetaNovas的AI技术优化产品生产需求。

1. AI筛选和设计分子缩短研发周期至几周,提升成功率至60%以上,提高生产效率。

2. 分子合法合规兼顾性能,应用于美妆、个护和医疗器械,如AMP33原料用于创面护理。

3. 合成生物生产基地位于江浙沪,展示区域产业优势。

商业机会在数字化推进中显现。

1. AI技术将成分研发从几个月减至几周,启示工厂加速数字化研发流程。

2. 应用案例如与环亚集团合作,展示AI如何提升原料筛选精度,可拓展至其他产品线。

3. 服务美妆和医美客户,提供新市场入口。

行业发展趋势聚焦AI技术创新。

1. MetaNovas用AI开发新分子,应用于美妆、个护和医美领域如AMP33原料。

2. 研发周期缩短至几周,成功率超60%,反映技术效率提升趋势。

3. 与欧莱雅等合作研究AI处理科研文件,展示知识图谱应用。

新技术解决客户痛点。

1. AI精准筛选分子解决研发耗时和低效问题,如缩短周期提升成功率。

2. 解决方案包括全球备案合规分子,应用于医疗器械,满足安全需求。

3. 实际案例如AMP33维护皮肤菌群平衡,提供医美护理方案。

商业对平台需求体现在合作模式上。

1. MetaNovas与若羽臣深度合作,帮助从基因层面剖析用户群体开发原料和配方,展示数据驱动服务。

2. AI技术缩短研发周期至几周,提升成功率,满足平台对高效解决方案的需求。

3. 应用领域扩展至医美如AMP33原料,开拓平台招商机会。

平台的最新做法涉及风险管理。

1. 新分子完成全球新材料备案,确保合规性,减少法律风险。

2. 合作案例如与欧莱雅研究抗衰成分,提供可复制的运营模式。

3. 技术突破如AI设计分子兼顾性能,支持平台产品创新。

产业新动向显示AI在分子设计领域突破。

1. MetaNovas用AI筛选分子,研发周期缩短至几周,成功率提升至60%以上,改变传统研发模式。

2. 应用扩展至医美领域如AMP33原料完成医疗器械备案,用于创面护理。

3. 与欧莱雅合作研究AI处理2800万篇科研文件,形成知识图谱筛选抗衰成分。

商业模式和政策启示显著。

1. 融资事件包括多轮投资如A轮有若羽臣跟投,展示资本支持创新模式。

2. 全球备案合规分子提供政策建议,确保产品安全。

3. 创始团队覆盖AI和生物领域,曾就职NVIDIA等机构,启示跨学科研究合作。

返回默认

声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

MetaNovas has completed Series A+ and A++ funding rounds with investors including Kangaroo Mother, Fuhua Capital, and Hillhouse Capital.

1. The company uses AI to develop novel molecules for cosmetics, personal care, and functional foods.

2. It has partnered with major brands like L'Oréal, Beiersdorf, and Procter & Gamble.

Significant technological breakthroughs have enhanced R&D efficiency.

1. AI-driven molecular screening and design ensure regulatory compliance while balancing performance and manufacturability.

2. R&D cycles have been shortened from months to weeks, with success rates exceeding 60%.

3. New molecules have completed global new material filings and are applied in cosmetic and medical device product lines in China and the U.S.

Rich practical application cases demonstrate real-world impact.

1. Collaboration with L'Oréal on anti-aging ingredients involved AI processing 28 million scientific documents to screen candidate molecules.

2. Partnership with HuanYa Group used AI to identify high-efficiency ginseng components for Meifubao's Anti-Gravity Cream 2.0.

3. Self-developed AI peptide ingredient AMP33 has obtained medical device filing for use in aesthetic wound care.

MetaNovas' AI technology offers brands a new pathway for product development.

1. Collaboration with L'Oréal demonstrates AI's precision in screening anti-aging ingredients, enhancing R&D accuracy.

2. Partnership with HuanYa Group applied AI to optimize ginseng components in Meifubao cream, showcasing practical innovation.

3. AI-designed molecules comply with regulations while maintaining performance, applicable across cosmetics, personal care, and functional foods.

Consumer trends highlight AI-driven innovation.

1. R&D cycles shortened to weeks with >60% success rates accelerate product launches.

2. Expansion into medical aesthetics (e.g., AMP33) addresses post-treatment care demands.

3. Partnerships with leaders like P&G reflect industry validation of AI technology.

MetaNovas' funding rounds signal growing market opportunities.

1. Series A+ and A++ rounds backed by top-tier investors like Hillhouse Capital indicate strong sector potential.

2. AI slashes R&D cycles to weeks with >60% success rates, reducing new product risks.

3. Applications expand from cosmetics to medical aesthetics (e.g., AMP33), opening new markets.

Collaboration models offer replicable insights.

1. Deep partnership with Royole helps analyze user genetics for ingredient and formula development.

2. Cases like HuanYa Group demonstrate practical AI ingredient screening applicable to other products.

3. Global new material filings ensure compliance, minimizing regulatory risks.

MetaNovas' AI technology optimizes production requirements.

1. AI molecular screening cuts R&D to weeks with >60% success rates, boosting production efficiency.

2. Regulation-compliant molecules balance performance for cosmetics, personal care, and medical devices (e.g., AMP33 for wound care).

3. Synthetic biology production base in Yangtze River Delta highlights regional advantages.

Digitalization unveils commercial opportunities.

1. AI reduces ingredient development from months to weeks, urging factories to accelerate digital R&D.

2. Cases like HuanYa collaboration show AI's precision in raw material screening for broader product lines.

3. Serving cosmetic and medical aesthetics clients opens new market entry points.

Industry trends focus on AI-driven technological innovation.

1. MetaNovas develops novel molecules via AI for cosmetics, personal care, and medical aesthetics (e.g., AMP33).

2. R&D cycles shortened to weeks with >60% success rates reflect efficiency gains.

3. Collaboration with L'Oréal using AI to process 28 million scientific papers showcases knowledge graph applications.

New technology addresses client pain points.

1. AI precision screening solves time-consuming R&D inefficiencies (e.g., shorter cycles, higher success).

2. Solutions include globally filed compliant molecules for medical devices, ensuring safety.

3. Practical applications like AMP33's skin microbiome balance offer aesthetic care protocols.

Platform needs are reflected in collaboration models.

1. Deep partnership with Royole uses genetic data to develop ingredients/formulas, demonstrating data-driven services.

2. AI's shortened R&D cycles and higher success rates meet platform demands for efficient solutions.

3. Expansion into medical aesthetics (e.g., AMP33) creates new merchant acquisition opportunities.

Platform risk management involves latest practices.

1. Global new material filings ensure compliance, reducing legal exposure.

2. Cases like L'Oréal anti-aging research provide replicable operational models.

3. Technical breakthroughs in AI molecular design support platform-led product innovation.

Industry shifts reveal AI breakthroughs in molecular design.

1. MetaNovas' AI screening shortens R&D to weeks with >60% success rates, transforming traditional methods.

2. Applications extend to medical aesthetics, with AMP33 receiving medical device filing for wound care.

3. Collaboration with L'Oréal processed 28 million papers via AI knowledge graphs to identify anti-aging components.

Business models and policy implications are significant.

1. Multi-round funding (e.g., Royole co-investment) shows capital backing for innovative models.

2. Globally filed compliant molecules offer policy guidance for product safety.

3. Cross-disciplinary founding team (ex-NVIDIA, etc.) highlights interdisciplinary research collaboration.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

【亿邦原创】日前,AI公司MetaNovas完成A+、A++两轮融资,投资方包括袋鼠妈妈、富华资本、高瓴资本等。该公司的主要业务是用AI开发新分子,应用于美妆、个护、功能性食品中。据悉,目前MetaNovas已与欧莱雅、拜尔斯道夫、宝洁等达成合作。

据悉,MetaNovas的重大突破在于,用AI筛选和设计分子后,该分子能合法合规地应用于产品中,同时兼顾性能、工艺等。

另一重大突破在于,MetaNovas的AI技术,将成分的研发周期从几个月缩短至几周,将研发成功率提升至60%以上。目前其设计的新分子已完成全球新材料备案,并应用到中美两国的化妆品和医疗器械产品线中。

图源:MetaNovas官方公众号“元星AI”

图源:MetaNovas官方公众号“元星AI”

在研究侧,2025年9月,MetaNovas与欧莱雅集团发布一项研究:如何借助AI精准找到有效成分。主要流程为:AI自动处理2800万篇相关科研文件,数据库形成知识图谱后,精准筛选候选分子,再用实验验证其功效。最终,由AI筛选的成分具备抗衰潜力。

在实际应用侧,MetaNovas与环亚集团合作,通过AI精准筛选人参中的高效成分。目前相关成果已应用至其旗下产品美肤宝反重力面霜2.0中。

2025年11月,MetaNovas自主研发的AI设计多肽原料“AMP33”,完成医疗器械主文档备案。该成分能维护皮肤菌群平衡,可用于激光、光子、刷酸、微整形后的创面护理,应用于II类、III类医疗器械产品。换言之,该公司不仅可服务美妆客户,也可拓展至医美领域。

MetaNovas于2021年成立于中国上海和美国硅谷,AI超算中心、功能实验与评价中心、合成生物生产基地均位于江浙沪地区。据悉,其创始团队覆盖AI、生物、计算材料等领域,曾就职于NVIDIA、FDA、MIT、United Healthcare等科研机构和公司。

这不是MetaNovas首次融资:2022年完成近千万美金的天使轮融资,2024年完成A轮融资。其中A轮融资有若羽臣跟投。

MetaNovas与若羽臣已达成深度战略合作。此次合作,MetaNovas主要帮助若羽臣从基因层面剖析品牌核心人群,并据此开发原料、研制配方、科学传播。

亿邦持续追踪报道该情报,如想了解更多与本文相关信息,请扫码关注作者微信。

文章来源:亿邦动力

广告
微信
朋友圈

这么好看,分享一下?

朋友圈 分享

APP内打开

+1
+1
微信好友 朋友圈 新浪微博 QQ空间
关闭
收藏成功
发送
/140 0