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Proxy Foods AI Raises $6M Seed Round to Accelerate AI-Native Food and Beverage Development Platform
The world’s leading AI platform for food & beverage R&D and commercialization secures funding to accelerate growth, create AI agents that turbocharge food and beverage development, and accelerate adoption across global CPG, foodservice, and ingredient companies.
WASHINGTON–(BUSINESS WIRE)– Proxy Foods AI, the food and beverage R&D platform built to turbocharge product development with an agentic AI solution, today announced a $6M seed round led by Ted Leonsis, Founder, Chairman, Managing Par

原文链接：https://www.businesswire.com/news/home/20260805888751/en/Proxy-Foods-AI-Raises-$6M-Seed-Round-to-Accelerate-AI-Native-Food-and-Beverage-Development-Platform

s food system: 3 innovation trends shaping the future of food R&D
Food & Ingredients
January 12, 2026
Florian Schattenmann is Cargill’s chief technology officer. In this article he shares three trends defining the horizon of food R&D and why innovation leaders must embrace agentic and generative AI, next-generation fermentation and precision nutrition to remain relevant.
Let’s be real — disruption isn’t the exception anymore; it’s part of daily life. Whether it’s shifting supply chains or rapidly evolving consumer expectations, staying still isn’t an option. Against this backdro

原文链接：https://www.cargill.com/story/three-innovation-trends-future-food

:
28 May 2026
Published:
30 May 2026
Article Figures (16)
Abstract
The global food system faces high pressure to sustain a growing population amid climate constraints and shifting consumer demands, making the traditional trial-and-error development methodologies inadequate. Artificial Intelligence (AI) has transitioned from a simple optimization tool into a structural enabler across the entire food chain. This review examines the integration and evolution of computational architectures in food technology between 2006 and 2026, tracing the paradigm shift from the early fuzzy logic and rule-base

原文链接：https://www.mdpi.com/2227-9717/14/11/1789

食品及饲料添加剂制造行业AI应用及布局策略深度研究.pptx
阅读：6次|页数：27
页 |上传：2025-03-17 14:39
食品及饲料添加剂制造行业AI应用及布局策略深度研究
汇报人：XXX 2025-X-X 目 录 1. 食品及饲料添加剂行业概述 2. AI技术在食品及饲
添加剂制造中的应用 3. AI在食品及饲料添加剂行业中的案例分析 4. AI技术应
挑战与应对策略 5. 食品及饲料添加剂行业AI应用布局策略 6. 未来发展趋势与
望 01 食品及饲料添加剂行业概述 行业背景与发展现状 行业历史演变 食品及

原文链接：https://www.docin.com/touch_new/preview_new.do?id=4843827936

高效支撑品牌国内拓店与全球化供应链扩张。
案例3：700CC天然苏打水鲜果茶（东北头部新式
下发供应链工厂，保障全国产品口感一致性；AI自动完成配方合规校验与标签生成，降低食
Q大中型食品饮料企业PLM研发四大核心疑问
Q1：食品企业一定要用行业专属PLM，通用制造业PLM
能用吗？
A：通用机械、电子类PLM基于物料BOM逻辑设计，没有食品配方配比、添加剂管控、
敏原识别、营养标签、原料替代、食安合规等行业底层逻辑，后期二次改造成本极高、落地

原文链接：https://www.163.com/dy/article/L0RGRESE05560L6F.html

系统在饲料企业中的应用 -31- 8.3案例三：智能饲料配方系统在出
效率。另一方面，随着消费者对食品安全和健康意识的提高，饲
剂研发中的应用也日益广泛。某饲料添加剂企业通过引入该系统
优化了添加剂配方，提高了产品的稳定性和有效性。数据显示，
购等方面也有广泛应用，为我国饲料行业提供了有力支撑。 第二
(1)人工智能（ArtificialIntelligence，AI）作为计算机科学的一个分支
用领域包括金融、医疗、零售、制造等。在饲料行业，数据挖掘

原文链接：https://www.docin.com/p-4916010946.html

f Leeds
Publikation : Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Abstract
Global food systems must deliver nutritious, sustainable foods while sharply reducing environmental impact. Yet, food innovation remains slow, empirical and fragmented. Artificial intelligence (AI) offers a transformative path to link molecular composition to functional performance, connect chemical structure to sensory outcomes and accelerate cross-disciplinary innovation across the production pipeline. While it is broadly applicable to food systems, we focus on sustainable proteins—pla

原文链接：https://portal.findresearcher.sdu.dk/da/publications/artificial-intelligence-for-food-innovation/

ood formulations modulate gut microbiota, SCFA production, immune signalling and metabolic pathways, yet current development pipelines remain largely empirical and constrained by nonlinear trade-offs among probiotic viability, prebiotic functionality and sensory acceptance. Artificial Intelligence (AI) and machine learning (ML) approaches offer data-driven strategies to support formulation, multi-objective optimization and functional assessment. This review systematically identified and critically synthesized literature published between 2020 and 2025 across five thematic domains: (i) formulat

原文链接：https://pubs.rsc.org/fo/article-abstract/17/13/5842/1259044/Application-of-artificial-intelligence-in?redirectedFrom=fulltext

AI赋能发酵工程，2026杭州国际发酵展解读智能生产全流程解决方案
展览会的小亮 2026年07月04
日 10:06 山东
引言：数智重构生物制造，杭州发酵展开启产业新范式
生物发酵是支撑生物医
、功能食品、生物饲料、合成材料、日化原料等万亿级赛道的核心底层技术，是我国发展新
质生产力、落实 “双碳” 战略的关键产业载体。长久以来，传统发酵产业高度依赖工程师经
前沿展品、同期论坛技术成果与头部企业落地案例，完整拆解 AI 如何贯通发酵生产全链条，

原文链接：https://caifuhao.eastmoney.com/news/20260704100624096812420

率的提升，更直接影响着资源利用效率、环境承载能力及食品安全保障。
一、技术驱动下的饲料添加剂功能升级
1.
与智能化：重塑饲料添加剂的应用场景
物联网、大数据及AI技术的渗透，使饲料添加剂的使用从“经验驱动”转向
数据驱动”。智能饲喂系统可根据动物生长阶段、健康状态及环境参数，动态调整添加剂配比;区块链技术则实现了
添加剂原料溯源与质量监控，保障了供应链透明度。例如，某牧场通过部署传感器网络，实时监测奶牛瘤胃pH值，并

原文链接：https://m.chinairn.com/scfx/20251210/170602115.shtml