Founded Year
2013Stage
Acquired | AcquiredTotal Raised
$28.7MAbout 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
403-781-6671
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.
Fintech
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
Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
3/19/2019 | 4/5/2022 | Cluster analysis algorithms, Machine learning, Cluster analysis, Data mining, Bioinformatics | Grant |
Application Date | 3/19/2019 |
---|---|
Grant Date | 4/5/2022 |
Title | |
Related Topics | Cluster analysis algorithms, Machine learning, Cluster analysis, Data mining, Bioinformatics |
Status | Grant |
Latest Slyce News
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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