Slyce company logo

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

slyce.it

Founded Year

2013

Stage

Acquired | Acquired

Total Raised

$28.7M

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

403-781-6671

Predict your next investment

The CB Insights tech market intelligence platform analyzes millions of data points on venture capital, startups, patents , partnerships and news mentions to help you see tomorrow's opportunities, today.

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).

S

Store management tech (In-store retail tech)

1,420 items

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

A

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.

F

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
patents chart

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

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

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:

You May Also Like

Streamoid Logo
Streamoid

Streamoid Technologies, dba Streamoid, is a visual-based search and discovery services provider for the e-commerce and publishing industries. The company has two products; an image matching engine for e-commerce, primarily aimed at online fashion retailers, and an image match engine specific to the requirements of the publishing industry.

S
Syte

Syte is a Visual AI technology provider that empowers retailers to tap into the personal inspiration of individual shoppers and deliver the right products at the right time, using Syte's proprietary algorithm. Founded in 2015, Syte developed the camera feature for brands such as Farfetch, Marks & Spencer, boohoo, Tommy Hilfger, and numerous others, leveraging partnerships with technology innovators, including Microsoft, and SAP.

Y
Yosh.Ai

Yosh.Ai increases sales and optimizes cost through automation of fashion retail. Its AI-based solutions include intelligent chatbot, visual search engine, personalization, and a predictive recommendation engine.

ViSenze Logo
ViSenze

ViSenze powers visual commerce at scale for retailers, publishers, and OEMs. The company delivers intelligent image recognition solutions that shorten the path to action as consumers search and discover online.

O
Omnious

Omnious is an artificial intelligence company that provides visual search and image recognition technology for the fashion industry, able to return a precise match or similar options from a company's catalog. Omnious's fashion-trained auto-tagging API recognizes the item category, color, pattern, and shape, as well as other details.

D
Donde

Donde is an intuitive product search for mobile. Donde search technology is based on artificial intelligence that imitates the way people visually perceive objects, allowing consumers to find any product they have in mind in less than 15 seconds.

Discover the right solution for your team

The CB Insights tech market intelligence platform analyzes millions of data points on vendors, products, partnerships, and patents to help your team find their next technology solution.

Request a demo

CBI websites generally use certain cookies to enable better interactions with our sites and services. Use of these cookies, which may be stored on your device, permits us to improve and customize your experience. You can read more about your cookie choices at our privacy policy here. By continuing to use this site you are consenting to these choices.