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北京时间·🕒 发布 06:27:00时区推断·⟳ 抓取 06:29:35·⚡ 决策 07-18 06:31:50 +2m15s·101.4 天前

OpenEvidence据报洽谈以200亿美元估值融资,年化收入接近3亿美元

OpenEvidence是未上市公司,本次融资和收入增长无法直接交易。

📄 原文The Information↗ 原文
‘ChatGPT for Doctors’ Mulls New Financing at $20 Billion Valuation
OpenEvidence is currently generating close to $300 million in annualized revenue, which implies close to $25 million in…
不做 Doximity(DOCS.US)
OpenEvidence未上市不可交易;Doximity(DOCS.US)只是可比竞品映射,事件对其是TAM验证与竞争加剧并存,没有直接订单、收入或份额增量,做多/做空都缺少同向正期望。
展开详情(成交明细 / 研究档案 / 原文全文 / 决策记录链)

研究档案

🔎 新鲜度:最早出现 2026-07-17 · 扩散 low · price-in 风险 low ↗ ↗

消息传播链

  1. 2026-07-17 18:27 ET首发The Information非一手原文 ↗
    The Information报道OpenEvidence正考虑以200亿美元估值融资,并称其年化收入接近3亿美元。
  2. 2026-07-17 22:30 UTC市场反应Futu非一手
    美股已收盘;Doximity(DOCS.US)当日收跌3.11%,未见可归因于该报道的盘中反应。
    市场反应:DOCS.US 收于21.52美元,前收22.21美元。

关键理由

  • OpenEvidence是未上市公司,本次融资和收入增长无法直接交易。
  • 最接近的上市映射是Doximity(DOCS.US),但事件同时是私营竞品加速抢占医生端AI搜索和药企广告预算的信号,方向正负混合。
  • Doximity FY2026收入约6.45亿美元、市值约38.7亿美元;OpenEvidence年化收入约3亿美元若属实说明TAM存在,但没有给Doximity带来新增订单、提价或份额增量。

主要风险

  • 若后续披露OpenEvidence与Doximity客户预算迁移或大型药企广告合作,Doximity可能出现更明确的负面重定价。
  • The Information为付费媒体独家,融资估值和收入口径仍需后续公司或投资方确认。

反向证据

  • 做多前查反向 · 来源 kb_search · 影响 weakens
    内部库未命中与OpenEvidence直接相关的DOCS利好解读;竞品增长更像竞争风险而非DOCS订单增量。
    检索:Doximity OpenEvidence competition pharma advertising revenue risk
  • 做空前查反向 · 来源 web · 影响 weakens
    OpenEvidence增长说明竞争加剧,但未披露药企预算从Doximity迁移或DOCS业绩下修,做空催化不够强。
    检索:OpenEvidence Doximity competitor pharma advertising doctors revenue 2025
工具调用 · 历史记录,结果未知(2 种)
  • stock_quote · 结果未知
  • kb_search · 结果未知

原文全文

展开原文 · 2,548 字
OpenEvidence is currently generating close to $300 million in annualized revenue, which implies close to $25 million in revenue per month, the person said. That’s double [what it was making around seven months ago](https://www.theinformation.com/articles/chatgpt-doctors-startup-doubles-valuation-12-billion-revenue-surges), when it was in talks to raise at a $12 billion valuation.

OpenEvidence’s revenue growth could assuage investors’ fears that AI application startups’ businesses will soon get swallowed up by the big AI labs, which [are releasing competing apps](https://www.theinformation.com/articles/anthropic-blindsides-business-partners). OpenAI in April released ChatGPT for Clinicians, a version of its chatbot that helps healthcare professionals with documentation and medical research.

OpenEvidence makes money by selling advertising space on its chatbot app to pharmaceutical companies, similar to the way Google sells ads on its search engine. Boosting revenue growth, it recently changed to a business model in which advertisers bid for ad space rather than pay a fixed fee, the person with knowledge said. The change increased the prices of its advertisements.

OpenEvidence is currently selling less than 5% of its ad inventory, suggesting it could generate billions of dollars in annualized revenue if it sold the rest, the person said.

The Miami-based company’s gross profit margin is currently around 90%, putting it [above many other AI startups in that regard](https://www.theinformation.com/articles/replits-margins-illustrate-high-costs-coding-agents). Gross margins measure how much companies earn from their sales after subtracting the direct costs of serving its revenue-generating products, known as cost of revenue. OpenEvidence’s costs of revenue include what it pays to run servers, including AI models that power the product, and money it spends to license content from medical journals.

It’s currently running at breakeven on a cash flow basis, as the company invests in training its own models for tasks like generating medical notes and searching information from medical journals, the person said.

OpenEvidence previously raised nearly $700 million in funding from investors including Thrive Capital, DST Global, GV, Sequoia Capital and Kleiner Perkins.

Its CEO and cofounder, Daniel Nadler, previously sold an AI startup to financial research firm S&P Global for hundreds of millions of dollars in 2018.

Nadler owned 58% of OpenEvidence when the startup was valued at $12 billion, according to Forbes.

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