AI TALENT GAP CRISIS
AI 正在压缩入门级岗位，也在放大可迁移能力与真实项目经验的价值。传统履历难以表达这种变化。
BP P4 · Entry-level compression
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2026 · Seed Round · Confidential
The Career Decision System.
For the AI-native generation.
为AI原生世代的构建新的协作网络
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SECTION 01 · MISSION
我们相信，AI 时代的职业身份不再是一份简历，而是一套持续生成、持续验证、持续分发的能力系统。
DarkHorse AI 将候选人、教育机构、雇主、AI agents 与资本连接成新的职业身份基础设施。
目标不是提升求职效率，而是重构人类资本被识别、被组织、被评估、被配置的方式。
从求职工具，到人力资源智能。
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SECTION 02 · WHAT WE SEE IN THE FUTURE
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SECTION 03 · WHY NOW
The labor market is changing faster than career identity can explain.
STOCK VS INCREMENTAL
雇主不再只判断候选人已经拥有什么，而是判断其能力增长速度、学习轨迹与协作证据。
BP P5 · Evaluation paradigm shift
NEW WORKFORCE ECOSYSTEM
候选人、学校、训练营、雇主与资本之间缺少统一的职业身份流动协议。
BP P6 · Identity flow across roles
TEAM GOVERNANCE
组织需要同时理解个体能力、团队结构与岗位变化，职业身份因此进入治理层。
BP P7 · Organization + individual evidence
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SECTION 04 · CATEGORY DEFINITION
A category shift from workflow to identity.
01
Job tools
服务一次性投递与筛选，核心对象是岗位和简历。
02
Talent platforms
服务候选人库和招聘流程，核心对象是供需匹配。
03
Career Decision System
服务长期身份、能力证据和多方协同，核心对象是人力资源智能。
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SECTION 05 · THE FIVE-PARTY SYSTEM
The system is five-sided.
A closed loop, not a pipeline.
候选人、agent、机构、雇主与资本共同生成职业身份证据。系统价值来自循环，而不是单点工具。
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SECTION 06 · PRODUCT
Introducing, Emma, John and Bruce.
三个 agent 对应 DarkHorse AI 的三段身份跃迁：个体如何理解自己，项目如何形成团队，创始人轨迹如何成为可判断的资本信号。
Identity Card 01
John
The Organization & Recruitment Agent
组织 agent · 招募 agent · 团队 agent
John helps you build the team behind the vision.
Identity Card 02
Emma
The Identity & Path Agent
入口 agent · 身份 agent · 成长 agent
Emma helps you become the person you were meant to become.
Identity Card 03
Bruce
The Founder Intelligence & Investment Agent
判断 agent · 资本 agent · 生态放大 agent
Bruce turns founder trajectories into investable intelligence.
ACTIVATION 01
Emma never leaves
ACTIVATION 02
John activates at organization
ACTIVATION 03
Bruce activates at readiness
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SECTION 07 · PRICING MODEL
Two pricing motions: stable ARR and agentic growth.
B 端通过 modular SaaS 建立结构性稳定收入；C 端与个人端通过 agentic subscription 获得增长弹性。
B2B / Institution
结构性稳定收入Modular SaaS
机构按模块订阅，用稳定的工作流、数据层与治理能力形成可预测 ARR、可预测 gross margin。
Identity infrastructure
Evidence & verification
Institution dashboard
Employer / cohort governance
Pricing entry
Pilot / custom contract first
等有 3–5 家机构客户后，再从真实部署场景里提炼标准 tiering。
C2C / Solo Operator
增长弹性Agentic Subscription
C 端与 solo operator 按 agent 订阅，用得越多越粘；Emma、John、Bruce 之间产生 compound effect。
Emma subscription
John activation
Bruce readiness
Cross-agent memory
Pricing entry
Freemium + early paid
等 agent 行为数据积累出来，再决定按 agent、按功能，还是按 usage 收费。
01
Start with pilots and early paid users
02
Observe module adoption and agent behavior
03
Convert usage patterns into pricing tiers
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SECTION 08 · MOAT
Data compounds through agent-mediated identity events.
Emma
John
Bruce
- Identity events01
- Learning trajectory02
- Project evidence03
- Agent interactions04
- Employer feedback05
- Capital allocation signal06
Endpoint
Human Capital Intelligence
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SECTION 09 · ROADMAP
Three horizons for 2026 and beyond.
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SECTION 10 · TEAM & VISION
Team and vision.
团队正在围绕 AI-native career identity、agent workflow、教育与雇主网络建立长期能力。
从求职工具，到人力资源智能。