LUFIELD.AI · 浔麓智能LUFIELD.AI

搭建自有主权的Build Your Own
超级英雄团队SuperHero Team

从个人级智能升级到组织级智能Upgrade from personal-level intelligence to organizational intelligence

帮助企业建设自主能力的「人 + AI」超级团队,We help enterprises build self-owned “human + AI” super teams,
从个人级智能走向可落地、可进化的组织级智能。moving from individual intelligence to deployable, continuously evolving organizational intelligence.

10+ 年10+ Years产业 AI 落地经验Industrial AI delivery experience
500 强Fortune 500金融 · 能源 · 化工客户Finance · Energy · Chemicals clients
10×人机混合效率Human-AI hybrid efficiency
50%+流程效率提升(金融)Process efficiency gain (finance)
Core Concept

组织级智能 是新一代核心竞争力SuperHero Team is the Next-gen Human-AI Team

把「你的人」和「AI」深度融合成一支队伍。拆开讲:Fuse “your people” and “AI” into one team. Broken down:

01 · SUPER

放大人,不是替代人Amplify people, not replace them

让 AI 倍增人的能力,人是判断与责任的主体。AI multiplies human capability; people remain the owners of judgment and accountability.

02 · HERO

人始终是核心People stay at the core

判断、信任、现场执行,始终在人手里。Judgment, trust and on-site execution always stay in human hands.

03 · TEAM

整个组织一起升级The whole organization levels up

经验能沉淀、能传承,从个人经验到群体智慧涌现。Experience is captured and handed down — from individual know-how to emergent collective intelligence.

04 · OWN

自有主权Own sovereignty

能力、方法、数据都留在内部,不依赖外部团队。Capabilities, methods and data stay in-house — no dependence on external teams.

我们和别人有什么不一样What Makes Us Different

01

我们对现场 KPI 负责We own your on-site KPIs,不是交一份报告 —— 每个能力对一条具体的业务指标负责。, not a report. Every capability is accountable to one specific business metric.

02

能力留在你这里The capability stays with you —— 数据不出你的内网,模型你来选。— data never leaves your intranet, and you choose the model.

03

我们不站队任何一家厂商We take no vendor’s side —— 做你的合伙人,只选对你最合适的。— we act as your partner and pick only what fits you best.

Two Business Lines

两条业务线,看你在哪个阶段Two Business Lines · Which Stage Are You At?

成熟企业Mature Enterprises

建一个「自己的 AI 研究院」Build Your Own AI Research Institute

你现在的状态Where you are now:试点做了一堆,难以规模化体现价值,或者不知道从哪里入手。: you ran many pilots but cannot scale or prove value — or you don’t know where to start.

我们做什么What we do:先和你一起定「到底该让 AI 做什么」,再做出来、验准、交给你的人。: we first define with you what AI should actually do, then build it, validate it and hand it to your people.

你怎么受益How you benefit:对现场 KPI 负责而不是交报告;能力留在你公司(SOP + 培训 + 你的 IT 接运维);数据不出内网、模型你来选。: accountability for on-site KPIs rather than a report; capability stays in your company (SOP + training + your IT owning operations); data stays inside your intranet and you pick the model.

案例Case:金融、能源、化工等行业 500 强实践,业务效率提升 70% 以上。: Fortune 500 engagements across finance, energy and chemicals — business efficiency up 70%+.

初创 / 成长企业Startups / Growth-Stage

配一位「技术联合创始人」Get a Technical Co-Founder

你现在的状态Where you are now:出不起高门槛服务费,养不起一支 AI 团队,单点工具拼不成体系。: you cannot afford high upfront fees or a full AI team, and point tools never add up to a system.

我们做什么What we do:固定服务费覆盖成本,股权分享上行 —— 和你共担风险、共同成长。: a fixed fee covers our cost and equity shares the upside — we carry the risk and grow with you.

你怎么受益How you benefit:有人从定义问题到上线交付全程负责;不是外包,是合伙人。: one owner accountable end-to-end, from problem definition to go-live — not an outsourcer, a partner.

案例Case:某 OPC(一人公司)通过「五层闭环架构」跑出夏普 2.4、业务规模 10 倍的机构级业绩。: a one-person company (OPC) ran our five-layer closed-loop architecture to institutional-grade results — Sharpe 2.4 and 10× business scale.

先看看你在哪个阶段First, See Which Stage You Are In

① 初级① Emerging

想清楚做什么Decide what to do

  • 全业务域场景盘点Full-domain scenario inventory
  • 痛点 × 价值 × 可行性三维评估Three-axis scoring: pain × value × feasibility
  • 输出场景地图、试点优先级与风险预案Deliver a scenario map, pilot priorities and risk plans
例:Example:某化工 500 强a chemicals Fortune 500
② 中级② Scaling

真正进生产Get into real production

  • 五步法推进:场景发现 → 机会识别 → 技术开发Five-step method: scenario discovery → opportunity identification → technology build
  • 业务应用 → 运营优化Business application → operations optimization
  • 影子验证后再切换上线Switch over only after shadow validation
例:Example:某能源 500 强an energy Fortune 500
③ 高级③ Advanced

能持续进化Keep evolving

  • 自建大模型能力与科学评测体系Build in-house LLM capability and scientific evaluation
  • 沉淀自己的主权 AI 底座Accumulate your own sovereign AI foundation
  • 推动组织走向人机共生Move the organization toward human-AI symbiosis
例:Example:某金融 500 强a finance Fortune 500
组织和业务的重塑贯穿始终,终点是Organizational and business reinvention runs throughout; the destination is人机共生组织a human-AI symbiotic organization。

怎么开始 · 我们的边界How to Start · Our Boundaries

五级阶梯A Five-Rung Ladder

  1. 先看清楚 · 4–6 周See Clearly First · 4–6 weeks拆一个部门流程、算清基线,给你一份带商业论证的题目清单 —— 值不值得做,用数字说话Map one department process, set the baseline, and hand you a business-case-backed problem list — the numbers decide if it is worth doing
  2. 做一个出来 · 3–6 个月Build One · 3–6 months选一个流程,从原型做到上线,新老系统并行验证后再切换Pick one process, take it from prototype to production, and switch over only after parallel validation against the legacy system
  3. 长期共建 · 年度Long-Term Co-Build · Annual2–4 个项目并行 + 常驻小队,变成你长期的自有研究院2–4 projects in parallel plus a resident squad — becoming your long-term in-house institute
  4. 推广复用Scale & Reuse跑通的模型在集团内推广,后续按年度本地部署许可Roll proven models out across the group, followed by annual on-premise deployment licenses
  5. 再往上One Step Further跑出可产品化的东西,共设合资公司(你控股)Turn results into products and set up a joint venture (you hold the majority)

每一步都能停、都能验证Every rung is verifiable — stop anytime

我们的边界Our Boundaries

我们做What We Do

定题Problem framing算账Business case核心算法Core algorithms交付架构Delivery architecture效果测量Impact measurement推广手册Rollout playbook组织陪跑Org coachingAI 培训AI training

我们不做What We Don’t Do

大规模集成Large-scale integration按席位卖软件Per-seat software sales只讲不做Talk without delivery纯股权项目Pure equity-only deals
引领式,不是响应式We lead, we don’t just respond
我们会主动告诉你该做什么、先做什么;算不清价值的题,我们劝你别做。We proactively tell you what to do and what to do first; when the value cannot be justified, we advise you not to do it.
Core Technology

核心技术:HASI 人机协同群体智能Core Technology · HASI · Human-AI Swarm Intelligence

让人和 AI 在组织里A technology system that lets people and AI共同进化co-evolve的技术体系 —— 不只是用 AI,而是让组织越用越聪明。 inside the organization — not just using AI, but making the organization smarter the more it is used.

01

Context

延展的组织认知Extended organizational cognition

02

Benchmark

测试时自适应智能Test-time adaptive intelligence

03

Learning

持续集体学习Continuous collective learning

04

Collaboration

多智能体涌现协同Emergent multi-agent collaboration

实践成效Results in Practice

10×
人机混合效率Human-AI hybrid efficiency
+40%
关键任务一次通过率First-pass yield on critical tasks
-70%
新人就绪周期New-hire ramp-up time
90%+
经验复利留存Experience compounding retained

核心产品:SuperHero SWARMCore Product · SuperHero SWARM

不是一套看板,而是整个组织四类业务能力的持续提升。Not a dashboard — continuous improvement of four business capabilities across the organization.

四种能力 → 四类业务结果Four Capabilities → Four Business Outcomes

  • Context · 组织级记忆 → 知识复用Context · Organizational memory → knowledge reuse:经验可检索、接手不靠口头交接,减少重复造轮子: experience is searchable; handovers need no verbal briefings
  • Benchmark · 组织级标尺 → 交付质量Benchmark · Organizational yardstick → delivery quality:人与 AI 按同一把尺子交付,减少返工、提升一次通过率: one yardstick for people and AI — less rework, higher first-pass yield
  • Learning · 组织级学习 → 持续进化Learning · Organizational learning → continuous evolution:复盘沉淀为可复用实践,同类错误不再重复发生: retrospectives become reusable practices
  • Collaboration · 组织级协同 → 规模化交付Collaboration · Organizational coordination → delivery at scale:进度与风险可追踪,协同不再靠开会催办: progress and risk are trackable — no more chasing people in meetings
经验复用 · 质量提升 · 错误减少 · 交付提速Reuse · Quality · Fewer errors · Speed HASI 技术底座HASI technology foundation
模型可以买来,组织级智能只能在组织里长出来。Models can be bought; organizational intelligence must grow inside the organization.
SHS · 组织群体智能工作台 Demo(内嵌页面)SHS · Organizational Swarm Intelligence Workbench Trailer (embedded)
Delivery System

交付体系Delivery System

↑ 资产逐层沉淀 · 能力逐项目复利(自下而上支撑,自上而下负责)↑ Assets accumulate layer by layer · capability compounds project by project (bottom-up enablement, top-down accountability)
L4
业务成果层Business Outcomes Layer
以可测量的业务命题开始,以经核实的 KPI 改善结束;每个项目的投入都对一条具名指标负责。Start with a measurable business proposition, end with verified KPI improvement; every project’s investment answers to one named metric.
L3
交付流程层Delivery Process Layer
命题化 → 本体映射 → 应用组装 → 影子验证 → 移交运营;每一步有准入 / 准出标准,全程可回溯,不依赖个人手感;新旧系统并行验证,指标收敛后才允许切换。Proposition → ontology mapping → application assembly → shadow validation → handover to operations; every step has entry/exit criteria and is fully traceable, never dependent on individual intuition; legacy and new systems run in parallel and switch-over is allowed only after metrics converge.
L2
语义资产层Semantic Asset Layer
领域本体库 · 行业模板与 Skill 库 · 评测集 · 失败案例库;每个项目强制回灌 —— 第二个同类项目起,交付更快、成本更低。Domain ontology library · industry templates and skill library · evaluation sets · failure case library; every project is required to feed back — from the second comparable project onward, delivery is faster and cheaper.
L1
工程底座层Engineering Foundation Layer
多模型接入(不绑定单一模型)· 行动边界与校验关卡;测量与归因体系 · 私有化 / 主权部署。Multi-model access (no lock-in to a single model) · action boundaries and validation gates; measurement and attribution system · private / sovereign deployment.
FDE

驻场交付Embedded Delivery

懂业务、能重构工作流、能测量结果的工程师嵌入你的现场 —— 这是当下最稀缺的能力,也是我们的基本功。Engineers who understand the business, can restructure workflows and can measure outcomes, embedded in your site — the scarcest capability today, and our core craft.

SOVEREIGN

主权 AISovereign AI

数据不出内网、模型可自选、不绑定单一技术栈;沉淀的是方法而非数据。Data stays inside your intranet, models are yours to choose, no single-stack lock-in; what accumulates is method, not data.

团队本身就是一支「超级 FDE 团队」—— 既做研究,也下现场。The team itself is a “super FDE team” — doing research and working on site.
Results

落地成效Results

孵化客户 · OPCIncubation Client · OPC
10×

业务规模提升Business scale uplift

交易决策辅助平台:一个人跑出机构级业绩,连续两年大幅跑赢纳指。Trading decision-support platform: one person delivered institutional-grade performance, beating the Nasdaq by a wide margin two years running.

金融 500 强Finance Fortune 500
50%+

承保全流程效率提升Underwriting end-to-end efficiency uplift

获客 / 服务 / 核保 / 理赔 / 风控全链路统一 AI 平台。One unified AI platform across the full chain: acquisition / service / underwriting / claims / risk control.

能源 500 强Energy Fortune 500
70%+

基建风控流程效率提升Infrastructure risk-control efficiency uplift

现场安全 / 分包 / 工程风险 / 文档合规 / 全流程风险评估闭环。Site safety / subcontracting / engineering risk / document compliance — a closed loop for end-to-end risk assessment.

覆盖金融、医疗、能源、化工、智慧城市等产业,10+ 年产业 AI 落地经验。Covering finance, healthcare, energy, chemicals, smart cities and more — 10+ years of industrial AI delivery.(客户名称脱敏) (Client names anonymized)
About

关于我们About

Lu(鹿)· 以人为本Lu (Deer) · People First

最大程度发挥人的创造力 ——Maximize human creativity — People, always the people

Field · 现场实践Field · On-Site Practice

A rough road leads to stars

Mission

让组织里的每个人变成 SuperHero,Make everyone in the organization a SuperHero,
从个人级智能进化到组织级智能 evolving from individual intelligence to organizational intelligence

一家「落地 + 孵化」的产业 AI 研究院;团队本身就是一支「超级 FDE 团队」—— 既做研究,也下现场。A “delivery + incubation” industrial AI institute; the team itself is a “super FDE team” — doing research and working on site.

三层壁垒Three Moats

01

方法论资产Methodology Assets

无法靠资本快速复制Cannot be replicated fast with capital

02

业务资源Business Resources

10+ 年产业落地10+ years of industrial delivery

03

组织与信任Organization & Trust

顶尖大学品牌 / 合规内生 / 人才密度Top-university brand / built-in compliance / talent density

核心团队与荣誉Core Team & Honors

王泓晔Wang Hongye

CEO

前瑞信量化 / 平安 TCL 腾讯投资Ex-Credit Suisse quant; investing roles at Ping An, TCL and Tencent

徐亮Xu Liang

AI专家AI Expert

清华本科牛津博士,MIT「全球科创 35 人」Tsinghua BSc, Oxford PhD; MIT “Innovators Under 35”

朱昱锦Zhu Yujin

算法总监Algorithm Director

前平安 AI 研发总监Former AI R&D Director at Ping An

毛潇Mao Xiao

产研总监Product & Research Director

清华硕士 / 前智谱运营总监Tsinghua MSc; former Operations Director at Zhipu AI

团队荣誉Team Honors

  • MIT「35 岁以下科技创新 35 人」两次MIT “Innovators Under 35” — twice
  • 吴文俊人工智能科学技术奖三次Wu Wenjun AI Science & Technology Award — three times
  • 国家新一代 AI 开放创新平台负责人Lead of a national next-generation AI open innovation platform
  • 创始 6 人均清华 / 海外 / 博士背景All six founders: Tsinghua / overseas / PhD backgrounds
  • 新华社、人民网、新智元等报道Covered by Xinhua, People’s Daily Online, XinZhiYuan and more
Backing

清华 / 牛津 / 500 强专家共建Built with Tsinghua / Oxford / Fortune 500 experts

创始团队来自清华、牛津、平安;成果获新华社、人民网、新智元等报道。Founding team from Tsinghua, Oxford and Ping An; achievements covered by Xinhua, People’s Daily Online and XinZhiYuan.

Next Step · Contact

下一步:怎么开始合作Next Step · How to Start Working Together

01

申请付费诊断Apply for a Paid Diagnostic

3 个月以内、小切口、可验证,产出带商业论证的命题清单。适合:试点堆积的成熟企业 / 缺技术联创的成长企业。Within 3 months, a small and verifiable entry point that produces a business-case-backed list of propositions. For: mature enterprises with stacked pilots, or growth companies missing a technical co-founder.

02

合作节奏Engagement Rhythm

1 小时高管对话 → 1 周出 POC 方案 → 3 个月付费诊断 → 1 年以上中大型项目。1-hour executive conversation → 1-week POC proposal → 3-month paid diagnostic → 1+ year mid-to-large engagements.

每一步都可退出You can exit at every step

03

想先自己试试?Want to try it yourself first?

如果预算暂时有限,或想先了解我们的最佳实践方法,可访问开源平台:If your budget is tight for now, or you want to see our best practices first, visit our open-source platform:

realworld-ai.io

Contact Us · 联系我们Contact Us

商务合作与咨询,欢迎邮件联系:For partnerships and inquiries, email us:

xuyuyao@lufield.ai

✉ 发送合作邮件✉ Send an email