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ZHIYI TECH

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Offers artificial intelligence technology services in the apparel industry

Hangzhou, ChinaFounded 2018Fashion
Valuation $50–100M Last recorded · 2026
Total funding $100–500M Disclosed equity funding
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About ZHIYI TECH

Established in 2018 by a team with pedigrees from Peking University, Zhejiang University, and Carnegie Mellon University, Hangzhou Zhiyi Technology Co., Ltd. operates at the intersection of artificial intelligence and fashion. The company, also known as ZHIYI TECH, was co-founded by CEO Zheng Zeyu, who previously worked as a senior R&D engineer at Google, CTO Wen Miaomiao, a former data scientist at Coursera, and COO He Zhi. Their collective expertise in AI, data science, and supply chain management underpins the company's core mission.

ZHIYI TECH provides a comprehensive suite of AI-powered big data solutions for the fashion industry, positioning itself as a key enabler of digital transformation for apparel brands. The firm's business model is centered on a Software-as-a-Service (SaaS) platform that offers data-driven trend forecasting, bestseller analysis, and intelligent style recommendations. By compiling and analyzing style and sales data from major e-commerce and social media platforms, the company empowers designers and brands to make more informed decisions. Revenue is generated through subscriptions to its various SaaS products and a one-stop-shop service that integrates design with a quick-response supply chain. This dual approach addresses the industry's need for both market intelligence and agile production capabilities. The company serves a diverse client base that includes prominent names like Nike, SHEIN, Gap, and Urban Revivo, and covers over half of China's publicly listed apparel companies.

The company's product portfolio is designed to address the entire fashion lifecycle. Core offerings include "Zhiyi" for e-commerce data analysis, "Zhikuan" for trend discovery, and "Fashion Diffusion+", an AIGC tool for intelligent design and commercial photography. These tools leverage proprietary technologies like fashion image recognition with up to 95% accuracy and flexible object recognition algorithms. For client Urban Revivo, ZHIYI's platform reportedly increased the chances of creating bestselling items by 5 percentage points and improved the sell-through rate from 60% to 80% over a three-year period. The company has secured significant financial backing, completing three funding rounds totaling nearly $100 million by early 2022 from investors such as Hillhouse Investment Group, Legend Capital, and Kuaishou.

Source: Dealroom company data

At a glance

Status
Operational
Founded
2018
Headquarters
Hangzhou, China
Open positions
None listed
Dealroom signal
22.0/100
Industry
Fashion
Sub-industry
Apparel
Sector
Fashion, Core AI, AI Applications
Technology
Artificial Intelligence
Business model
SaaS
Client focus
b2b
Links
Website

Funding history

3 recorded events

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
SERIES AOther financing Jun 2026 $14M $55M Yijing Capital · Yida Capital ↗
LATE VCOther financing Apr 2022 $100M $400M Innovation Capital · Xianghe Capital · Zoom Capital · GL Ventures ↗
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Growth signals

ZHIYI TECH website traffic

Latest recorded traffic for ZHIYI TECH is 180K monthly website visits, down 5.3% over the last three months.

Latest monthly visits180K 3-month web change-5.3%
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Investments and acquisitions

Capital deployed

Recent portfolio relationships for companies that also act as investors or acquirers.

Investors

8 investors on the cap table

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

Series A4 investors entered at this stage

Series B and later4 investors entered at this stage

  • Innovation Capital
  • Xianghe Capital
  • Zoom Capital
  • GL Ventures
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Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
🇨🇳 China · Hangzhou 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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