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Phil Rivers Tech

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Platform-based company incubated by the Institute of Computing Technology, Chinese Academy of Sciences, which empowers medical innovation with digital life technology

ChinaFounded 2015Health
Valuation $100–250M Last recorded · 2026
Total funding $50–100M Disclosed equity funding
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About Phil Rivers Tech

Phil Rivers Technology, legally known as Beijing Zheyuan Technology Co., Ltd., was established on December 9, 2015, as an offshoot of the Institute of Computing Technology of the Chinese Academy of Sciences (CAS). The firm operates at the intersection of high-performance computing and biotechnology, pioneering a field it terms "computational medicine." This approach utilizes artificial intelligence, extensive biological data, and supercomputing capabilities to create a 'digital experiment ground for drugs.'

The company was founded by Zhang Chunming, a deputy researcher at the CAS Institute of Computing Technology. His academic and research-intensive background is complemented by co-founder and COO Zhao Yu, who previously served as the Vice President of Marketing and Strategy at the digital health giant WeDoctor. This leadership blend combines deep technical expertise from one of China's premier research institutions with strategic commercial experience in the healthcare technology sector. The founding team also includes Niu Gang, Director of the Turing-Darwin Laboratory.

Phil Rivers Technology provides a distinct "AI + Disease" driven approach to drug discovery, differentiating itself from the more common "AI + Molecule" model. Instead of solely focusing on molecular chemistry, the company builds digital twin models of diseases to understand their underlying mechanisms. Its core offerings are two AI platforms: one for delivering novel drug targets and mechanisms of action (MOAs), and a virtual clinical trial platform. These tools are designed to identify new drug targets, discover new applications for existing drugs, design more efficient clinical trials, and predict patient responses with greater accuracy.

The business model centers on creating and licensing high-value intellectual property (IP), including new drug targets, molecules, and expanded indications for existing therapies. Revenue is generated through these "license out" agreements and service contracts with pharmaceutical partners, where fees are collected based on reaching specific research and development milestones. The company has secured strategic collaborations with pharmaceutical firms like Chongqing Hwasen Pharmaceutical to jointly develop new oncology drugs and discover new uses for their existing assets.

Source: Dealroom company data

At a glance

Status
Operational
Founded
2015
Headquarters
China
Open positions
None listed
Dealroom signal
18.0/100
Industry
Health
Sector
Health, Hard Tech
Business model
Manufacturing
Client focus
b2b
Links
Website

Funding history

2 recorded events

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
SERIES AOther financing Aug 2026 $28M $110M Zhangjiang Hi-Tech Park · Xi'an Zhongke Chuangxing Technology Incubator · Sansure Biotech ↗
SERIES AOther financing Jul 2022 $28M $110M Highthink · Insight Capital · Taiya Investment ↗
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Growth signals

Phil Rivers Tech website traffic

Latest recorded traffic for Phil Rivers Tech is 120 monthly website visits, down 85.4% over the last three months.

Latest monthly visits120 3-month web change-85.4%
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Investments and acquisitions

Capital deployed

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Investors

6 investors on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Series A6 investors entered at this stage

  • Insight Capital
  • Highthink
  • Taiya Investment
  • Zhangjiang Hi-Tech Park
  • Xi'an Zhongke Chuangxing Technology Incubator
  • Sansure Biotech
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Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
🇨🇳 China HQ
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Market sentiment

Posts on X, past 7 days

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Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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