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Reconova Technologies
Cybersecurity · Dongcheng District, China · Founded 2012
Provides leading image intelligent analysis products and solutions MoreLess
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.
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.
Keywords: visual perception, facial recognition, AI solutions, computer vision, machine learning, intelligent hardware, edge computing, smart retail, airport security, passenger facilitation, front-end intelligence, AI algorithms, data analysis, smart home, intelligent security, network camera, face capture, investor Intel Capital, Dennis Zhan, AI-driven edge computing
Company overview
Reconova Technologies company information
The essential company record, classifications and operating signals in one place.
- Status
- Operational
- Founded
- 2012
- Headquarters
- Dongcheng District, China
- Employees
- 7
- Open positions
- None listed
- Dealroom signal
- 38.3
- Investment activity
- 1 companies · latest Apr 2018
- Capital deployed
- $1.6M
- Preferred round
- SERIES A
Valuation & funding
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 | ↗ |
| SERIES B✓Equity / VC | May 2018 | — | — | Intel Capital | — |
| SERIES B✓Equity / VC | Dec 2017 | $15M | $60M | Infore Capital · Intel Capital | — |
Financials
Revenue, earnings and profit over time
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Growth signals
Reconova Technologies website traffic
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.
Comparisons
Reconova Technologies compared with similar companies
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Capital deployed
Reconova Technologies investments and acquisitions
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Talent graph
Reconova Technologies's talent
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Global footprint
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team presence
In the news
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Market sentiment
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Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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