AI That Works in the Real World让 AI 在真实产业场景中落地
Turning domain expertise and enterprise data into AI systems that are usable, verifiable, and repeatable.把行业经验与企业数据，变成可用、可核验、可复制的 AI 系统。
Tell us about your scenario聊聊你的场景→3+ Verticals, 1 Methodology三大及更多垂直领域，一套核心方法论
From consumer brands to deep-tech startups to industrial manufacturing — each vertical we enter validates and strengthens our core AI methodology.从消费品牌到硬科技创业公司再到工业制造——每进入一个新垂直领域，都是对核心 AI 方法论的验证和强化。
New Energy Materials AI新能源材料制造 AI
AI-powered knowledge systems for new energy materials manufacturing — yield optimization, process quality control, R&D experiment tracking, operational efficiency, cost analytics, and customer segmentation. Digitizing deep manufacturing know-how built over decades of precision production. Currently being developed and deployed at a composite current collector production facility, with expansion planned to additional product lines.面向新能源材料制造的 AI 知识系统——良率优化、工艺质量管控、研发实验追踪、运营提效、成本分析与客户细分。将精密制造领域数十年积累的深厚工艺经验数字化。目前已在复合集流体生产基地开发部署，后续将拓展至更多产品线。
In Development正在开发部署Cross-Border Brand & Growth跨境品牌与增长
Stop guessing, start computing growth. AI-powered brand infrastructure for Chinese consumer brands going global. From brand diagnosis and SEO/GEO to content production — we go beyond strategy into execution.告别盲猜，计算增长。AI 驱动的品牌基建与营销执行，服务中国消费品牌出海。从品牌诊断、SEO/GEO 优化到内容生产，不止于策略，更深入执行。
Learn More了解详情Tech Go-to-Market科技企业出海 GTM
Helping ambitious Chinese AI and deep-tech startups enter the US market — companies in spatial AI, robotics, and frontier technology. From market intelligence and strategic partnerships to overseas entity setup, foreign investment facilitation, and operational footprint establishment. Backed by 25+ years of Silicon Valley network.帮助有雄心的中国 AI 与硬科技创业公司进入美国市场——空间智能、机器人、前沿科技等领域。从市场情报、战略合作伙伴开发，到海外主体设立、外资引入与海外运营体系搭建。依托 25+ 年硅谷人脉网络。
Proposals Delivered方案已交付Context Engineering, Not Just AI Tools上下文工程，而非简单的 AI 工具
Most companies use AI as a chatbot. We've built a systematic methodology that turns AI into a strategic partner — producing consistent, high-quality output at scale.大多数公司把 AI 当聊天机器人。我们构建了一套系统化方法论，让 AI 成为战略合伙人——稳定、高质量、可规模化地产出。
Multi-Agent Architecture多智能体协同架构
A suite of specialized AI agents working in concert — each with deep domain expertise, structured prompts, and quality validation built in.多个专业 AI 智能体协同工作——每个都具备深度领域知识、结构化提示和内置质量校验。
Industry Knowledge Engine行业知识引擎
Proprietary knowledge base with structured ontology. Every project deepens the knowledge graph — a compounding data moat competitors find difficult to replicate.自研知识库与结构化本体论。每个项目都在加深知识图谱——形成竞争对手难以复制的数据飞轮壁垒。
4-Axis Quality Scoring四维质量评分体系
Every deliverable is scored on professionalism, completeness, specificity, and actionability. No vague advice — only concrete, measurable output.每项交付物在专业性、完整性、具体性和可执行性四个维度进行量化评分。拒绝模糊建议——只交付具体、可衡量的成果。
Multi-Provider LLM Routing多模型智能路由
Not locked to a single AI provider. Our system intelligently routes tasks across multiple models for optimal cost-performance balance.不锁定单一 AI 供应商。系统智能路由任务至多个模型，实现最优成本-性能平衡。
Our core AI methodology — multi-agent orchestration, knowledge engineering, quality scoring — carries across industries. Each new vertical only requires domain-specific adaptation, not rebuilding from scratch.我们的核心 AI 方法论——多智能体协同、知识工程、质量评分——天然跨行业适用。每进入一个新垂直领域，只需针对行业特性做适配，而非从零开始。
Every project makes the next one better.每一个项目都让下一个更好。
Traditional consultants start from zero every time. Our knowledge engine accumulates insights from every engagement — industry patterns, validated strategies, market signals. The curve isn't linear. It compounds.传统咨询每次都从零开始。我们的知识引擎从每次服务中积累洞察——行业模式、验证过的策略、市场信号。这条曲线不是线性的，而是复利增长。
Silicon Valley Depth, China Market Reach硅谷深度，中国市场广度
A compact, senior team with decades of cross-border experience. Backed by established industry resources and a stable capital foundation.一支精干的资深团队，拥有数十年跨境经验。依托成熟的产业资源和稳健的资金基础。
BSc in Electrical Engineering, Tsinghua University; MSc in Electrical Engineering, University of Notre Dame. 25+ years in Silicon Valley — VC investing, enterprise architecture, quantitative engineering. 3 US patents. Serial entrepreneur.清华大学电子工程系学士，美国圣母大学电子工程系硕士。25+ 年硅谷经验——风险投资、企业架构、量化工程。3 项美国专利。连续创业者。
Former Senior Software Engineer at Meta (core ads growth) — shipped a multi-agent code-quality verification platform to production, serving 60+ core engineers and saving 100+ engineering hours weekly. Previously AWS DynamoDB, where distributed coordination systems backed Amazon SQS at tens of billions of requests per day. MSc in Data Science, Fordham University.前 Meta 高级软件工程师（核心广告增长）——多 Agent 代码质量验证平台已上线生产，服务 60+ 核心工程师、每周节省 100+ 小时。此前在 AWS DynamoDB，分布式协调系统支撑 Amazon SQS 日均百亿级请求。Fordham 大学数据科学硕士。
10+ years leading teams of 150+ at international organizations. Now driving cross-border brand consulting delivery and multi-project coordination.10+ 年国际机构高管经验，曾管理 150 人团队。现负责跨境品牌咨询交付与多项目统筹。
6 years in the US. Trilingual (English, Cantonese, Mandarin). 10 years building North America sales channels from zero to scale.留美 6 年，英粤普三语。10 年从零搭建北美市场销售网络经验。
8 years as a Brand Manager. Full-stack ownership of brand VI, multi-platform content, and private-domain e-commerce — previously ran a Youzan storefront to ¥860K annual GMV.8 年品牌经理实战经验。品牌 VI、多平台内容、私域电商全栈运营，曾运营年 GMV 86 万的有赞商城。
14 years of Java / enterprise-system architecture and 8+ years of team management. Owns AI technical architecture and delivery; brings hands-on new-energy / semiconductor manufacturing yield-analysis experience.14 年 Java 与企业级系统架构、8+ 年团队管理经验。统筹 AI 技术架构与交付，具备新能源 / 半导体制造良率分析落地背景。
AI model development, RAG/Agent system construction, LLM fine-tuning, AI application development, system integration, and technical support.AI 模型开发、RAG/Agent 系统搭建、大模型微调与评估、AI 应用开发、系统集成与技术支持。
AI model development, RAG/Agent system construction, LLM fine-tuning, AI application development, system integration, and technical support.AI 模型开发、RAG/Agent 系统搭建、大模型微调与评估、AI 应用开发、系统集成与技术支持。
Built Different我们不一样
Not a GPT Wrapper不是 GPT 套壳
Purpose-built multi-agent system with structured knowledge bases, quality scoring, and industry-specific ontology. Real engineering, not prompt templates.专门构建的多智能体系统，配备结构化知识库、质量评分和行业本体论。真正的工程化，而非提示词模板。
Well-Funded & Stable资金充裕，运营稳健
Backed by established industry resources with real production environments, real data, and real customers from day one. No "searching for product-market fit" anxiety.依托成熟产业资源，自第一天起便拥有真实生产环境、真实数据和真实客户。无需为"寻找产品市场契合"而焦虑。
Truly Cross-Border真正的跨境能力
Not just bilingual — bicultural. Our team lives and works across the US and China, bridging the gap that kills 80% of cross-border ventures.不只是双语——而是双文化。团队横跨中美两地，跨越 80% 跨境项目失败的文化鸿沟。
Compounding Moat持续加深的护城河
Every client engagement deepens our knowledge base and sharpens our methodology. The data flywheel means we get better — and harder to compete with — over time.每一次客户服务都在加深知识库、打磨方法论。数据飞轮意味着我们随时间推移越来越强——竞争对手越来越难追赶。
Ready to Work With Us?准备好与我们合作了吗？
Drop a few details — AI Native turns them into a complete brief. 10× faster than email back-and-forth.输入基本信息，AI Native 自动生成需求方案 · 比邮件来回沟通快 10 倍。