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The profile is currenly unclaimed by the seller. All information is provided by CB Insights.

Founded Year



Acquired | Acquired

Total Raised


About Slyce

Slyce is a visual search company that provides AI-driven image recognition technology solutions to retail businesses, which allows consumers to efficiently and accurately find nearly any product with a smartphone snap.On September 22nd, 2021, Slyce was acquired by Syte. Terms of the transaction were not disclosed.

Slyce Headquarter Location

109 S 13th St Suite 3S

Philadelphia, Pennsylvania, 19107,

United States


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Expert Collections containing Slyce

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Slyce is included in 3 Expert Collections, including Store management tech (In-store retail tech).


Store management tech (In-store retail tech)

1,420 items

Startups aiming to work with retailers to improve brick-and-mortar retail store operations.


Artificial Intelligence

8,694 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.



7,344 items

US-based companies

Slyce Patents

Slyce has filed 14 patents.

The 3 most popular patent topics include:

  • Computer vision
  • Machine learning
  • Artificial neural networks
patents chart

Application Date

Grant Date


Related Topics




Cluster analysis algorithms, Machine learning, Cluster analysis, Data mining, Bioinformatics


Application Date


Grant Date



Related Topics

Cluster analysis algorithms, Machine learning, Cluster analysis, Data mining, Bioinformatics



Latest Slyce News

Worldwide Image Recognition Industry to 2026 - Featuring Attrasoft, Hitachi and Honeywell International Among Others -

Mar 14, 2022

Slyce Inc. Wikitude GmbH Keeping in mind the uncertainties of COVID-19, the analyst is continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor. Image recognition refers to a technological solution used for identifying objects, people, places and actions in images. It utilizes machine vision technologies with predefined algorithms and artificial intelligence (AI) to interpret a matrix of numerical values in a digital image. The algorithm maps out a pattern or relationship in subsequent images to improve the accuracy of the results. Some of the commonly used algorithms include Principal Component Analysis (PCA), Scale-invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF). These technologies are also used for performing machine-based visual tasks, such as labeling contents of images with meta-tags, performing image content search and guiding self-driving cars, autonomous robots and accident avoidance systems. Rapid digitization across industries, along with the widespread adoption of AI-based systems, are among the key factors driving the growth of the market. Furthermore, the increasing utilization of image recognition technologies for digital marketing applications is providing a thrust to the market growth. E-commerce service providers integrate their application's programming interface with the image recognition tools to assist with the monitoring of return on investment (RoI) and enhancing brand productivity. Additionally, various technological advancements, such as the improvements in AI, big data and machine learning (ML) systems, are acting as other growth-inducing factors. This enables law enforcement agencies to run visual analytics for biometric scanning machines, pedestrian recognition and vehicle tracking. Other factors, including significant improvements in the information technology (IT) infrastructure, along with extensive research and development (R&D) activities, are anticipated to drive the market further. Key Questions Answered in This Report How has the global image recognition market performed so far and how will it perform in the coming years? What has been the impact of COVID-19 on the global image recognition market? What are the key regional markets? What is the breakup of the market based on the component? What is the breakup of the market based on the technology? What is the breakup of the market based on the application? What is the breakup of the market based on the deployment type? What is the breakup of the market based on the end-use industry? What are the various stages in the value chain of the industry? What are the key driving factors and challenges in the industry? What is the structure of the global image recognition market and who are the key players? What is the degree of competition in the industry? Key Topics Covered:

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