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Reconova Technologies
Provides leading image intelligent analysis products and solutions
About Reconova Technologies
Reconova Technologies, founded in 2012 by Dennis Zhan, operates at the forefront of the artificial intelligence sector, specializing in visual perception and facial recognition technologies. Based in Xiamen, China, the company has established itself by developing a comprehensive suite of solutions that range from front-end intelligent hardware to back-end data analysis, addressing the needs of various application scenarios. Reconova has a significant presence in over 150 cities and operates three R&D centers, holding more than 80 patents.
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The company's business model is centered on providing advanced visual perception solutions to enterprises. It serves a diverse client base that includes the smart retail, smart home, intelligent security, and airport passenger facilitation sectors. Reconova's offerings empower traditional industries by embedding complex machine vision algorithms into front-end AI solutions, which have historically been limited by performance, power, and cost. The company generates revenue by providing these tailored hardware and software solutions to its roster of over 1,000 clients. Their products include the Ruiwei HD network camera with a built-in face recognition chip that allows for frame-by-frame detection and tracking. This technology is applied for face capture, VIP identification, and analyzing passenger flow statistics and user portraits within retail systems.
Reconova's journey includes significant financial milestones, having raised a total of $37.8 million over five funding rounds. Its latest funding was a Series D round in August 2022. Notably, the company secured a Series B+ investment led by Intel Capital in 2018, which has been a cornerstone of its strategy, enabling the integration of its visual perception algorithms into low-power hardware. The firm is also reportedly planning a Hong Kong IPO to raise around USD 100 million. This strategic financial backing supports Reconova's mission to accelerate the development of richer applications and expand its AI industry deployment across Asia.
At a glance
- Status
- Operational
- Founded
- 2012
- Headquarters
- Dongcheng District, China
- Employees
- 7
- Open positions
- None listed
- Dealroom signal
- 38.3/100
- Industry
- Security, Enterprise Software
- Sector
- Cybersecurity, Image Recognition, Face Recognition, Facial Recognition, Hard Tech, DT and LS
- Technology
- Artificial Intelligence, Deep Tech, Recognition Technology
- Business model
- SaaS
- Client focus
- b2b
- Investment activity
- 1 company, latest Apr 2018
- Capital deployed
- $1.6M
- Preferred round
- SERIES A
Latest news
Press, funding announcements and product moves mentioning Reconova Technologies.
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| IPO✓Exit | Jul 2026 | $73M | $761M | Undisclosed | ↗ |
| SERIES DEquity / VC | Aug 2022 | — | — | SAIF Partners · Gloucester Capital · China Merchants Capital | ↗ |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for Reconova Technologies is 20K monthly website visits, up 33.3% over the last three months. Reconova Technologies's team declined 12.5% over the past year.
Similar companies
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Series A2 investors entered at this stage
Infore Capital
Intel Capital
Series B and later3 investors entered at this stage
- CCChina Merchants Capital
SAIF Partners- GCGloucester Capital
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about Reconova Technologies on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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