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About Slyce

Slyce operates as a visual search company. It provides artificial intelligence-driven image recognition technology solutions to retail businesses, which allows consumers to find nearly any product with a smartphone snap. It was founded in 2012 and is based in Philadelphia, Pennsylvania. In September 2021, Slyce was acquired by Syte.

Headquarters Location

109 S 13th Street Suite 3S

Philadelphia, Pennsylvania, 19107,

United States




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 tech (In-store retail tech).


Store tech (In-store retail tech)

1,605 items

Companies that make tech solutions to enable brick-and-mortar retail store operations.


Artificial Intelligence

11,383 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.



8,122 items

Companies and startups in this collection provide technology to streamline, improve, and transform financial services, products, and operations for individuals and businesses.

Slyce Patents

Slyce has filed 15 patents.

The 3 most popular patent topics include:

  • computer vision
  • machine learning
  • artificial neural networks
patents chart

Application Date

Grant Date


Related Topics




Machine learning, Classification algorithms, Artificial neural networks, Statistical classification, Computer vision


Application Date


Grant Date



Related Topics

Machine learning, Classification algorithms, Artificial neural networks, Statistical classification, Computer vision



Latest Slyce News

AI in Fashion Global Market Report 2023: Growing Influence of Social Media on the Fashion Industry Fuels the Sector

Apr 28, 2023

News provided by Share this article Share this article This report provides strategists, marketers and senior management with the critical information they need to assess the market. The global AI in fashion market grew from $0.65 billion in 2022 to $0.91 billion in 2023 at a compound annual growth rate (CAGR) of 40.0%. The AI in fashion market is expected to grow to $3.72 billion in 2027 at a CAGR of 42.0%. Major players in the ai in fashion market are Microsoft, IBM, AWS, SAP, Facebook, Adobe, Oracle, Catchoom, Huawei, Wide Eyes, FindMine, Intelistyle, Lily AI,, Syte,, Stitch Fix, and Alphabet Inc., (Google). Reasons to Purchase Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies. Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates. Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market. Measure the impact of high global inflation on market growth. Create regional and country strategies on the basis of local data and analysis. Identify growth segments for investment. Outperform competitors using forecast data and the drivers and trends shaping the market. Understand customers based on the latest market shares. Benchmark performance against key competitors. Suitable for supporting your internal and external presentations with reliable high quality data and analysis AI-in fashion refers to an advisor that is being used to recommend clothes based on the customer's height, weight, shape, and current size. AI in fashion is used in product recommendation, product search and discovery, supply chain management and demand planning, creative designing and trend forecasting, customer relationship management, virtual assistant, others. The main types of AI in fashion are apparels, accessories, footwear, beauty and cosmetics, jewelry. Apparels refer to clothing or outer garments. They are deployed on cloud, on-premise using components such as solution, services. The applications of these are customer relationship management, virtual assistants, product recommendation, product search and discovery, supply chain management and demand forecasting, creative designing and trend forecasting used across various industries such as fashion designers, fashion stores. Machine learning are shaping the AI in fashion market. Machine learning is a part of artificial intelligence which defines the capabilities of the machine to copy human behavior. A machine can understand visualize and perform an action that helps in providing better information and suggestions to customers according to their behavior. For instance, in April 2021, Tommy Hilfiger, a renowned designer fashion brand applied machine-learning tools for product images of 15,000, and 600,000 publicly available runway images, and almost 100,000 fabric patterns sites. The applied AI gave insights into trending colors, and patterns, silhouettes to Tommy Hilfiger's style. In September 2021, Syte company, an Israel-based software development company acquired Slyce for an undisclosed amount. Through this acquisition, Syte wants to expand its market in North America and support new and old clients. Slyce, is a US-based visual search company that has integrated apps and website technology for more than 60 retailers. North America was the largest region in the AI in fashion market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in AI in fashion report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the AI in fashion market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The growing influence of social media on the fashion industry is driving the growth of AI in fashion market. Social media is a primary source of information for the fashion industry as there are many opinions and information from all sources globally. Fashion today is mainly dependent on brand promotion and fashion influencers that use social media to communicate their views on fashion. For instance, according to influencer marketing hub, a social media resource for influencers, the marketing influencer market grew from $ 9.7 billion in 2020 to $ 13.8 billion in 2021. The increasing popularity of short video formats on platforms like TikTok, Facebook, and YouTube, as well as the impact of the global pandemic on consumers, which catalyzed social media consumption, and the optimization of data collection, which marketers used for social media ads, are all contributing to this growth. Such growing influence of social media is driving the growth of the market. The AI-in fashion market includes revenues earned by entities by providing services such as trend forecasting, creating better fit, and authenticating items to prevent knockoffs, streamlining, and manufacturing, reducing returns. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. Key Topics Covered: 3. AI in Fashion Market Trends And Strategies 4. AI in Fashion Market - Macro Economic Scenario 4.1 COVID-19 Impact On AI in Fashion Market 4.2 Ukraine-Russia War Impact On AI in Fashion Market 4.3 Impact Of High Inflation On AI in Fashion Market 5. AI in Fashion Market Size And Growth 5.1. Global AI in Fashion Historic Market, 2017-2022, $ Billion 5.1.1. Drivers Of The Market 5.1.2. Restraints On The Market 5.2. Global AI in Fashion Forecast Market, 2022-2027F, 2032F, $ Billion 5.2.1. Drivers Of The Market 5.2.2. Restraints On the Market 6. AI in Fashion Market Segmentation 6.1. Global AI in Fashion Market, Segmentation By Category, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion Apparels Creative Designing and Trend Forecasting 6.5. Global AI in Fashion Market, Segmentation By End Users, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion Fashion Designers 7. AI in Fashion Market Regional And Country Analysis 7.1. Global AI in Fashion Market, Split By Region, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion 7.2. Global AI in Fashion Market, Split By Country, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Media Contact:

Slyce Frequently Asked Questions (FAQ)

  • When was Slyce founded?

    Slyce was founded in 2012.

  • Where is Slyce's headquarters?

    Slyce's headquarters is located at 109 S 13th Street, Philadelphia.

  • What is Slyce's latest funding round?

    Slyce's latest funding round is Acquired.

  • How much did Slyce raise?

    Slyce raised a total of $28.7M.

  • Who are the investors of Slyce?

    Investors of Slyce include Syte, Partium, Lafayette Plug and Play Accelerator, Anzu Partners, Beacon Securities and 10 more.

  • Who are Slyce's competitors?

    Competitors of Slyce include Syte, Clarifai, Donde, Yosh.AI, ViSenze and 7 more.


Compare Slyce to Competitors

ViSenze Logo

ViSenze powers visual commerce at scale for retailers, publishers, and original equipment manufacturers (OEMs). The company delivers intelligent image recognition solutions that shorten the path to action as consumers search and discover online. Its automated artificial intelligence (AI) platform empowers retail merchants to increase revenue by delivering experiences that make it easier for shoppers to discover products. ViSenze was founded in 2012 and is based in Singapore, Singapore.

Streamoid Logo

Streamoid is a company that focuses on artificial intelligence technology in the fashion retail industry. The company offers services such as automated cataloging, personalized customer experiences, and retail intelligence, all powered by AI. Their solutions are designed to simplify the transformation to omni-channel retail, digitizing the journey from product to consumer. It is based in Bengaluru, India.


Syte develops a product discovery platform with visual artificial intelligence (AI) technology to help retailers. It drives e-commerce performance with a visual search experience that connects shoppers with hyper-personalization products. The company serves fashion pages, jewelry, home decor, and more. It was founded in 2015 and is based in Tel Aviv, Israel.

Mirror That Look Logo
Mirror That Look

Mirror That Look builds artificial intelligence-backed visual search technology. It helps consumers to get shop-the-look results and compare prices across brands and retailers for visual-oriented products such as fashion goods, clothing, handbags, shoes, and more. It was founded in 2016 and is based in New York, New York.


Yosh.AI develops a voice artificial intelligence (AI) platform for enterprises. It helps to increase sales and optimizes costs through the automation of fashion retail. It offers artificial intelligence (AI) based solutions including an intelligent chatbot, a visual search engine, personalization, and a predictive recommendation engine. The company was founded in 2017 and is based in Warsaw, Poland.


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.


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