FaceAll

FaceAll

AI-powered computer vision and deep learning solutions.

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DateInvestorsAmountRound
investor

€0.0

round
N/A

$1.5m

Series A
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-100 %
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

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More about FaceAll
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Beijing Feisou Technology Co., Ltd., operating as FaceAll, was founded on May 26, 2015, by co-founders Hongliang Bai (CEO), Si Jiang, Wenjian Feng, and Fengqi Xiong. The company specializes in artificial intelligence, computer vision, and deep learning technologies. CEO Hongliang Bai holds a Ph.D. in pattern recognition and intelligent systems and has a background as a senior researcher at notable R&D centers.

FaceAll provides a range of products and services, including video structuring, SaaS solutions, computing servers, and offline SDK authorization. Their core technologies encompass face recognition (detection, landmarking, attribute analysis, tracking), image recognition (vehicle, scene, pedestrian), and other functionalities like 2D barcode recognition and image super-resolution. These technologies are applied to develop smart city solutions aimed at enhancing urban operations, safety, and transportation efficiency. The company's business model includes providing these smart city solutions alongside SaaS services for face and image recognition through major cloud platforms like Alibaba Cloud and Huawei Cloud.

The company serves a diverse client base that includes major telecommunication providers like China Mobile, China Unicom, and China Telecom, as well as technology giant Huawei and international customers. FaceAll's technologies are utilized in various sectors, including video surveillance, online shopping payments, and robotics. Since its inception, the company has secured multiple funding rounds, including an angel investment in 2016 and a Pre-A round in 2017, reaching a valuation of over 100 million.

Keywords: computer vision, deep learning, artificial intelligence, face recognition, image recognition, video structuring, smart city solutions, SaaS, SDK authorization, facial landmark, vehicle recognition, pedestrian detection, biometrics, video surveillance, pattern recognition, data analysis, intelligent systems

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