LEAPBOUND AI
AI That Works in the Real World让 AI 在真实产业场景中落地
What already happened · IN PRODUCTION已经发生的事 · IN PRODUCTION
What We Do我们的业务
Two Verticals and More, One Knowledge Engine两大及更多垂直领域，一套知识引擎
Manufacturing制造业
Yield, process quality, R&D decisions — knowledge systems built on the floor of a listed new-energy-materials manufacturer, then packed to move to the next plant.良率、工艺质量、研发决策——在一家上市新能源材料制造企业的产线上建起来的知识系统，再打包成能搬到下一家的知识包。
See it running on the line →看它在产线上跑成什么样 →Cross-Border Brand跨境出海
Competitors, copy, visuals, localization — every run leaves its record and conclusions in your brand asset library, so the next one does not start from zero.竞品、文案、视觉、本地化——每跑一次，记录和结论都留在你的品牌资产库里，下一次不必从零开始。
Open the toolkit →进入工具 →Our Edge核心优势
One Engine, Many Domains一套引擎，多领域智能
The engine is domain-agnostic; knowledge is packed per domain. Enter a new industry, add a pack — the engine stays as it is.引擎领域无关，知识按领域装成包。换一个行业，装一个包，引擎不动。
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。
Knowledge Engine知识引擎
Proprietary knowledge base with structured ontology. Every project deepens the knowledge graph — the engine itself never changes.自研知识库与结构化本体论。每装一个知识包，引擎就多覆盖一个领域，引擎本身不用改。
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。
Add an industry, add a knowledge pack. The engine stays as it is.换一个行业，是加一份知识包 —— 引擎不动。
Multi-agent orchestration, knowledge engineering and quality scoring live in the engine, and none of them name an industry. What a vertical needs goes into its pack.多智能体协同、知识工程、质量评分都住在引擎里，而引擎里不出现任何一个领域的词。领域要的东西，装进它自己的知识包。
The Compounding Effect复利效应
Every project makes the next one better.每一个项目都让下一个更好。
Our knowledge engine keeps what each engagement produces — industry patterns, validated strategies, market signals — so the next one starts from there. That curve compounds.每次服务产出的东西都留在知识引擎里——行业模式、验证过的策略、市场信号——下一次从这里起步。这条曲线是复利的。
Our Team核心团队
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。
Kevin WengKevin 翁伟文
BSc in Electrical Engineering, Tsinghua University; MSc in Electrical Engineering, University of Notre Dame. 20+ 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。20+ 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。
Greg QiuGreg 仇侃
Former Senior Software Engineer at Meta (core ads growth); previously AWS DynamoDB. MSc in Data Science, Fordham University.前 Meta 高级软件工程师（核心广告增长），此前在 AWS DynamoDB。Fordham 大学数据科学硕士。
Solar SimaSolar 司马
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。
Why LeapBound AI为什么选择凌邦德智能
Built Different我们不一样
Engineered as a System当成系统来做
A multi-agent system with structured knowledge bases, quality scoring, and an industry ontology behind it — each answer carries its source.多智能体系统，背后是结构化知识库、质量评分与行业本体论；每条回答都带着它的出处。
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
Bicultural, not just bilingual in name: the team lives and works across the US and China, and knows where 80% of cross-border ventures lose the thread.团队横跨中美两地生活与工作，懂两边的说话方式，也知道 80% 的跨境项目是在哪一步走偏的。
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.每一次服务都在往知识包里加东西。装的包越多，引擎覆盖的领域越多。