by Rapha Health Investment Technology Limited
v1.0.2 · deals
AI · 中国资产 · 全球市场 AI · CHINA ASSETS · GLOBAL MARKETS EST. 2026 · HONG KONG

你的资产, 卖给谁 什么价格 · 什么方式 · 什么时机 Where does your asset belong? At what price. By which path. At what moment.

BD Match Pro 是 AI 驱动的跨境授权交易引擎。**模型把参数化 rNPV 与可比交易回归 50/50 融合**——基于精选录入的 笔跨境交易、 家全球战略买家画像,为中国生物医药资产精准匹配买方、估算对价、规划交易路径。这是中国资产走向世界市场的第一步。 BD Match Pro is an AI-powered cross-border licensing engine. **The model blends parametric rNPV with comparable-deal regression 50/50** — drawing on hand-curated cross-border deals and global strategic-buyer profiles to match assets with the right counterparty, model fair-value pricing, and chart a path to transaction. The first step of bringing Chinese assets to the world.

Q.01 · WHO
能卖给谁?Who will buy?
在已建档的 家全球战略买家画像中筛选最契合的对手方。Identify the best-fit counter-party across profiled global strategic acquirers.
Q.02 · HOW MUCH
值多少钱?At what price?
rNPV + 可比交易回归得出首付款、里程碑与销售提成区间。rNPV plus comp-deal regression yield upfront, milestone and royalty ranges.
Q.03 · HOW
用什么方式?By which path?
License-out · NewCo · 联合开发 · 全球分区——AI 给出最优结构。License-out · NewCo · Co-development · Regional split — AI proposes the optimal structure.
运作机制 · 三步成交 How it works · three steps

从一份品种 PPT,
到一笔跨境交易
From a single asset deck,
to a cross-border deal.

古典的尽职调查方法学,结合现代 AI 与 笔精选跨境交易回归——三步走完战略 BD 的第一公里。 Classical due-diligence methodology, combined with modern AI and a -deal cross-border comp regression — the first mile of strategic BD, distilled into three steps.

i.

描述资产 Describe the asset DESCRIBEstep one

输入靶点、机制、适应证、临床阶段、地域权利、专利情况——左侧表单 30 秒完成。模型理解品种语义,而非关键字匹配。 Enter target, mechanism, indication, clinical stage, territory and IP — the sidebar takes 30 seconds. Our model parses asset semantics, not just keywords.

ii.

AI 估值与匹配 AI values & matches VALUEstep two

rNPV + 可比交易回归同步运行,输出首付款 / 里程碑 / Royalty 区间;370+ 全球买方根据组合策略、地理偏好、近期交易加权打分。 rNPV and comp-deal regression run in parallel to size upfront, milestones and royalty; 370+ global buyers are scored by portfolio fit, geography and recent activity.

iii.

交易路径 Deal path EXECUTEstep three

License-out、NewCo、联合开发、区域分割——AI 推荐最优交易结构,并给出条款 talking points 与可执行 outreach 清单。 License-out, NewCo, co-development, regional split — the engine recommends the optimal structure with term-sheet talking points and an actionable outreach shortlist.

现在开始 · The engine Begin · The engine

输入一个品种,得到一笔交易蓝图 Enter one asset, receive a deal blueprint.

在左侧表单填写您的品种信息——估值、可比交易、推荐买方与交易路径将实时生成。所有计算可下钻参数与方法学。 Fill in your asset profile in the left panel — valuation, comparable deals, buyer matches and deal path render in real time. Every figure drills down to its parameters.
向下滚动 · 进入工具scroll down · enter the tool
输入品种信息后,系统将生成估值报告与买方推荐 →Fill in the asset profile to generate valuation & buyer shortlist →

等待输入Awaiting input

rNPV
stage-gated PoS
Deal total
upfront + milestones
Upfront
cash at signing
Matched buyers
ranked by fit score
估值分析Valuation
买方匹配Buyers 0
参考交易Comps 0
方法学Methodology
请在左侧输入品种信息并点击「匹配并估值」Fill the asset profile on the left and click "Match & value".
筛选 (可多选):Filter (multi-select):
全部All
美国MNCUS MNC
欧洲MNCEU MNC
日本Japan
韩国Korea
BiotechBiotech
类似药平台Biosim
印度India
MENAMENA
非洲Africa
东南亚SEA
快捷:Presets:
所有创新药买方All innovator buyers
所有新兴市场All EM
所有MNCAll MNCs
全球买方(非EM)Global (excl. EM)
请先完成估值测算Run the valuation first

同类可比交易Comparable deals

自精选录入的 笔跨境授权交易中按相似度排序 · 优先同适应证 / 同药物类型 / 同阶段 · 见 方法学Ranked by similarity from hand-curated cross-border deals · same indication / modality / stage prioritized · see methodology
请先完成估值测算Run the valuation first
数据透明承诺Data transparency

这一节解释了模型的每一步——以及它做不到的事。 This section documents every step of the model — and what it cannot do.

v1.0.2 估值算法**真实使用**了 DEALS_DB 中 笔跨境授权交易(覆盖 2024-11 至 2026-02 公开披露数据,已剔除未披露金额条目)。其中约 50 笔为人工精选高质量条目(含完整临床阶段、备注),其余条目从公开数据批量摄入——**临床阶段标记为 `unknown`,药物类型 (modality) 通过药名规则推断**。可比交易回归与 rNPV 参数模型按 50/50 权重融合输出最终估值;当匹配样本 <3 时退化为纯 rNPV。提交数据 → The v1.0.2 valuation algorithm **actually uses** the cross-border licensing deals in DEALS_DB (publicly disclosed 2024-11 → 2026-02, with non-disclosed economics filtered out). About 50 entries are hand-curated with full clinical-stage detail and editorial notes; the remainder are bulk-ingested from public deal data — **clinical stage is recorded as `unknown` and modality is inferred from drug-name patterns**. Comp-regression and rNPV are blended 50/50; when fewer than 3 similar comps exist, the model falls back to pure rNPV. Submit data →

1 · 创新药 rNPV 模型(参数路径)1 · New drug rNPV (parametric path)

rNPV_licensor = PoS × Σ_t [Peak × Ramp(t) × ModPremium × CompMult × RoyaltyRate] ÷ (1 + WACC)^t rNPV_asset = PoS × Σ_t [Peak × Ramp(t) × ModPremium × CompMult × NetMargin] ÷ (1 + WACC)^t PoS · 阶段累计上市概率PoS · cumulative probability to approval preclin 5% · Ph1 10% · Ph2 17% · Ph3 52% · NDA 88% · approved 100% 默认 WACC 11% · NetMargin 30% · 上市后 10 年专利期Default WACC 11% · NetMargin 30% · 10y post-approval patent runway Ramp 曲线Ramp curve: 10/30/60/85/100/100/95/80/55/25 (% of peak by year) ModPremium: sm 1.00 · mab 1.05 · bsab 1.25 · adc 1.40 · cart 1.50 · gt 1.55 · pep 1.10 · olig 1.20 · rc 1.45 CompMult: FIC 1.25 · me-too 1.00 · me-third 0.75

2 · 可比交易回归(数据路径)2 · Comparable-deal regression (data path)

// 在 DEALS_DB 中对每笔有披露金额的交易计算相似度权重// For each deal with disclosed economics, compute similarity weight weight(d) = 0.05 (baseline) + 0.50 if d.indication == p.indication else 0.25 (adjacent) | 0.10 (same TA) + 0.30 if d.modality == p.modality else 0.10 × ratio(ModPremium) + 0.20 if d.stage == p.stage else 0.10 (±1) | 0.04 (±2) // 仅保留 weight > 0.20 的样本; 若 N < 3, 跳过本路径// Keep samples with weight > 0.20; abort if N < 3 // 加权重采样后取分位数// Resample by weight, then take quantiles total_implied = median(weighted_samples.total) × stage_correction × mod_correction × terr_factor upfront_implied= median(weighted_samples.upfront) × (same correction) P10 / P90 = 20%/80% quantiles of resampled distribution stage_correction = StageMult(p.stage) / weighted_avg(StageMult(d.stage)) mod_correction = ModPremium(p.mod) / weighted_avg(ModPremium(d.mod)) terr_factor = 1.0 (global) / 0.85 (3+ regions) / 0.70 (2 regions) / 0.55 (single) StageMult: preclin 0.35 · Ph1 0.7 · Ph2 1.0 · Ph3 1.6 · NDA 2.4 · approved 3.0

3 · 融合(blended) — 把两条路径合起来3 · Blended output — combining both paths

total_blended = 0.5 × rNPV_total + 0.5 × total_implied // N ≥ 3 时// when N ≥ 3 upfront_blended = 0.5 × rNPV_upfront + 0.5 × upfront_implied P10 / P90 = union(rNPV_sensitivity, comp_quantile) // 取并集,更保守// take union, conservative 退化情况: 当 DEALS_DB 中匹配样本 < 3 时, 输出 = 100% rNPV(并在结果区显示退化提示)Fallback: when matched samples in DEALS_DB < 3, output = 100% rNPV (a fallback notice is shown in the result panel)

4 · 类似药利润分成模型4 · Biosimilar profit-share model

NPV_licensor_share = PoS × Σ_t [OrigPeak × (1 - Discount) × ShareRamp(t) × GM × ProfitShare] ÷ (1 + BS_WACC)^t 默认值:Defaults: share 35-45% · discount vs originator 25-35% · GM 55% · BS_WACC 9% 类似药 PoS:Biosim PoS: preclin 15% · Ph1 25% · Ph2 45% · Ph3 70% · NDA 85% · approved 100% ShareRamp: 5/20/40/55/65/70 (% market share vs originator by year) v1.0 类似药估值仅采用参数路径(不进行 comp-blended), 因为 DEALS_DB 中类似药交易样本极少。Biosim valuation uses the parametric path only (no comp-blending) in v1.0 — DEALS_DB carries too few biosim transactions to support the regression.

5 · 交易结构拆分5 · Deal structure decomposition

Upfront : Milestone : Royalty ≈ 8% : 40% : 52% (新药全球均值)(global new drug average) 按阶段首付占比 (参数模型):Upfront % by stage (parametric): preclin 4% · Ph1 7% · Ph2 11% · Ph3 18% · NDA 28% · approved 42% royalty rate: Ph1 8-11% · Ph2 10-13% · Ph3 12-16% · Mkt 14-20% P50 由参数+回归融合给出, P10/P90 由模型敏感性 ∪ 可比分位数 给出。P50 from blended path; P10/P90 = union of model sensitivity and comp quantiles.

6 · 买方匹配评分 (满分 100)6 · Buyer matching score (out of 100)

Score = 40·IndicationFit + 25·ModalityFit + 20·StageFit + 10·FinancialCapacity + 5·RecentActivity - IndicationFit: 命中 1.0 / 邻接 0.6 / 同治疗领域 0.3 / 否则 0 - ModalityFit: 平台成熟 1.0 / 有管线 0.7 / 开放态度 0.4 / 否则 0.1 - StageFit: 偏好窗口命中 1.0 / 相邻 0.6 - FinancialCapacity: log(cash+revenue) 归一化 - RecentActivity: 近12月BD次数归一化- IndicationFit: direct hit 1.0 / adjacent 0.6 / same TA 0.3 / else 0 - ModalityFit: core platform 1.0 / active pipeline 0.7 / open stance 0.4 / else 0.1 - StageFit: preferred stage 1.0 / adjacent 0.6 - FinancialCapacity: log(cash+revenue) normalized - RecentActivity: BD count last 12M, normalized

数据来源 & 已知局限Data sources & known limitations

数据来源Data sources

  • PoS 默认值: BIO/QLS/Informa《Clinical Development Success Rates 2011-2020》行业基准。PoS defaults: BIO/QLS/Informa Clinical Development Success Rates 2011-2020 industry benchmark.
  • 可比交易数据库 (DEALS_DB): 公司新闻稿、SEC 8-K/20-F 文件、BioPharma Dive / FiercePharma / Endpoints News 报道,人工录入,聚焦中国-海外跨境授权交易。当前 笔。Comp database (DEALS_DB): hand-curated from company press releases, SEC 8-K/20-F filings, BioPharma Dive / FiercePharma / Endpoints News reporting; focused on China–overseas cross-border licensing. Currently deals.
  • 买方财务: FY25 年报(MNC)或最近季报年化(中等市值);现金 = 现金+短期投资。Buyer financials: FY25 annual reports (MNCs) or latest quarterly annualized (mid-caps); cash = cash + short-term investments.

已知局限Known limitations

  • 样本量小: 笔可比交易,统计置信度有限,P10/P90 区间会偏宽。Small sample: only deals — statistical confidence is limited; P10/P90 bands run wide.
  • 选择偏差: 数据库偏向中国 license-out 交易,纯海外 in-licensing 覆盖较少。Selection bias: the database over-indexes China license-outs vs. pure overseas in-licensing.
  • 未披露金额未纳入: 公开仅披露"undisclosed terms"的交易未参与回归。Undisclosed deals excluded: transactions with "undisclosed terms" are not included in regression.
  • biobucks 膨胀: "总额"通常含发生概率较低的远期里程碑(销售里程碑常被高估)。Biobucks inflation: reported "total deal value" often inflates distant sales milestones with low realization probability.
  • 类似药未做回归: 类似药交易在 DEALS_DB 中样本极少,v1.0 仅用参数路径。No biosim regression: too few biosim deals in DEALS_DB; v1.0 uses parametric only.
  • 买方近期活跃度更新: 2025-Q4 起的并购/授权动作需要社区帮助持续刷新。Buyer recency: deal activity since 2025-Q4 needs ongoing community refresh.
本工具仅用于 BD 评估参考,不构成投资建议。所有源代码、参数默认值、公式实现均在 GitHub index.html 公开可见;欢迎挑战、修改、改进。 For BD evaluation reference only; not investment advice. All source code, parameter defaults and formula implementations are visible in index.html on GitHub. Challenge it, fork it, improve it.

需要进一步咨询?Need further consultation?

Rapha Health Investment Technology Limited
睿孚健康投资科技有限公司 · 香港Hong Kong

本工具提供初步估值与买方筛选,实际交易需结合标的尽调、监管路径、地缘政治、买方真实战略需求等多维度分析。我们提供:跨境 BD 撮合、估值复核、交易结构设计、买方导入及谈判支持等一站式咨询服务。 This tool provides preliminary valuation and buyer screening. Real transactions require comprehensive analysis including asset due diligence, regulatory pathways, geopolitical considerations, and buyer strategy. We offer end-to-end services including cross-border BD matchmaking, valuation review, deal structuring, buyer introductions and negotiation support.

License-out 撮合License-out matchmaking 估值与尽调Valuation & DD 交易结构设计Deal structuring 谈判支持Negotiation support

联系方式 · Get in TouchGet in Touch · 联系方式

📱
中国大陆Mainland China
📞
香港 / Hong KongHong Kong
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微信 / WhatsAppWeChat / WhatsApp
+86 136 3230 2814
💬 联系咨询Contact us
© 2026 Rapha Health Investment Technology Limited · BD·Match PRO v1.0.2 · 本工具基于公开交易数据与业内通用估值框架构建,实际交易条件以双方最终签署文件为准。Built on public deal data and industry-standard valuation frameworks. Actual deal terms subject to final executed agreement.