
Lily AI
Founded Year
2015Stage
Series B - II | AliveTotal Raised
$51.9MLast Raised
$12.4M | 1 yr agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-115 points in the past 30 days
About Lily AI
Lily AI focuses on e-commerce product discovery that operates in the retail technology sector. The company offers a platform that uses artificial intelligence (AI) to enhance product discovery by injecting customer-centric language into various retail processes, such as site search, recommendations, and demand forecasting. Lily AI primarily serves the e-commerce industry. It was founded in 2015 and is based in Mountain View, California.
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Lily AI's Product Videos


ESPs containing Lily AI
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The marketing automation personalization market is focused on providing personalized and relevant experiences to customers across various digital channels. Vendors in this market offer solutions that use AI and data analytics to create personalized content and messaging for each customer, resulting in increased engagement, conversion rates, and customer loyalty. The market includes a range of prod…
Lily AI named as Challenger among 15 other companies, including Bloomreach, Oracle, and Attentive.
Lily AI's Products & Differentiators
Product Attributes Platform
Delivers transformative business impact at scale, not small improvements.
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Research containing Lily AI
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Lily AI in 3 CB Insights research briefs, most recently on Aug 21, 2023.

Mar 14, 2023 report
Retail Tech 100: The most promising retail tech startups of 2023Expert Collections containing Lily AI
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Lily AI is included in 9 Expert Collections, including E-Commerce.
E-Commerce
11,359 items
Companies that sell goods online (B2C), or enable the selling of goods online via tech solutions (B2B).
Market Research & Consumer Insights
734 items
This collection is comprised of companies using tech to better identify emerging trends and improve product development. It also includes companies helping brands and retailers conduct market research to learn about target shoppers, like their preferences, habits, and behaviors.
Conference Exhibitors
5,302 items
Sales & Customer Service Tech
767 items
Companies offering technology-driven solutions for brands and retailers to enable customer service before, during, and after in-store and online shopping.
Targeted Marketing Tech
453 items
This Collection includes companies building technology that enables marketing teams to identify, reach, and engage with consumers seamlessly across channels.
Retail Tech 100
200 items
The most promising B2B tech startups transforming the retail industry.
Latest Lily AI News
Jan 10, 2025
Lily AI Released Winter 2025 of AI-powered Product Attributes Platform Comments Off on Lily AI Released Winter 2025 of AI-powered Product Attributes Platform New features empower Performance Marketers, eCommerce and Marketplace executives with scaled control over their product attribute management Lily AI (“Lily” or the “Company”), a retail technology company specializing in AI solutions for retailers and brands, announced today the Winter 2025 release of its product attributes platform, introducing a suite of advanced features and capabilities that transform how retailers and brands optimize their product catalogs for enhanced discoverability and conversion across both existing and emerging new channels. Specifically, this latest release empowers Performance Marketers with unprecedented advantage over their product attribute management with dynamic intelligence that maximizes Google ad spend. Additionally, eCommerce teams benefit from automated catalog enrichment at scale to drive sales for both 1st party and 3rd party sellers alike. “At this time of year, we all read the same clickbait article titles written by prognosticators who make bold claims ‘Search is Dead!’, ‘The Retail Apocalypse is Here!’, ‘AI is Killing Jobs!’,” said Purva Gupta, Co-founder and CEO, Lily AI. “I take a different view — for as long as consumers seek to create their own unique sense of style and for as long as discovery is a part of that process, retail will win and search will endure, whether that search is on a retail website, a social platform, a search engine, or an AI-powered experience or answer engine.. I’m thrilled to offer industry-first solutions that help the industry meet this moment of transformation.” “We’re excited to showcase our newest product developments as a part of NRF’s 2025 Innovators special exhibition. It’s an honor to be selected as one of the top 50 retail tech innovators making a real impact on the way retailers sell and consumers shop,” said Ahmed Naiam, President, Lily AI. “I can’t wait to demo capabilities that empower retailers and brands to optimize their Google Ads performance, accelerate marketplace growth, and support greater team efficiency.” Release highlights: AI Performance Marketer for Google Ads: Improve your Quality Score, Ad Rank and overall win rates by adding dynamic, relevant and accurate AI-generated and search-optimized natural language content to both Google Merchant Center (GMC) and your eCommerce site Team Efficiency and Productivity: Improve your product setup process by automatically populating vast arrays of attributes, contextual tags, and descriptive phrases for retail catalogs, reducing manual input, minimizing errors, ensuring taxonomy alignment, and empowering teams to create richer, more comprehensive product records with unprecedented speed and efficiency Marketplace Optimization: Supercharge your marketplace ecosystem, providing third-party sellers with robust, accurate product data at scale, while seamlessly harmonizing the information with first-party reporting and analytics, driving seller success and creating a cohesive shopping experience across the entire platform AI-driven Dynamic Intelligence: Continuously analyze search behavior, decoding intent and distilling phrases into optimized, platform-specific data streams, creating a dynamic feedback loop that constantly evolves to match shopper needs and ensures products are discoverable with the most relevant, up-to-the-minute consumer terminology across all digital touchpoints Visit Lily AI at the 2025 NRF Big Show to experience firsthand how our AI-powered product attributes platform is transforming Google advertising for retail, and shopping search and discovery. The team will be available in the Innovators Showcase at the Javits Center, Booth #8101, January 12-14, 2025. Total: 0
Lily AI Frequently Asked Questions (FAQ)
When was Lily AI founded?
Lily AI was founded in 2015.
Where is Lily AI's headquarters?
Lily AI's headquarters is located at 800 West El Camino Real, Mountain View.
What is Lily AI's latest funding round?
Lily AI's latest funding round is Series B - II.
How much did Lily AI raise?
Lily AI raised a total of $51.9M.
Who are the investors of Lily AI?
Investors of Lily AI include New Enterprise Associates, Canaan Partners, Conductive Ventures, Sorenson Capital, Cendana Capital and 19 more.
Who are Lily AI's competitors?
Competitors of Lily AI include Syte, Heuritech, FindMine, Wide Eyes Technologies, Mad Street Den and 7 more.
What products does Lily AI offer?
Lily AI's products include Product Attributes Platform and 3 more.
Who are Lily AI's customers?
Customers of Lily AI include thredUP.
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Compare Lily AI to Competitors

Syte provides a platform for product discovery in the fashion, jewelry, and home decor sectors. It utilizes visual search technology, automated product tagging, shoppable social curation, and personalized recommendations. It was founded in 2015 and is based in Tel Aviv-Yafo, Israel.
OMNIOUS.AI is a company focused on revolutionizing e-commerce through the application of advanced artificial intelligence technology. The company offers a range of AI-powered services designed to enhance the online shopping experience, including automated product tagging, image moderation, and personalized product recommendations. These services aim to streamline the buyer's journey, improve product discovery, and boost purchase conversions. It was founded in 2015 and is based in Seoul, South Korea.

Mad Street Den specializes in artificial intelligence with a focus on computer vision-driven artificial intelligence (AI) across various industries. Its main offerings include an enterprise AI platform known as Vue.ai, which provides AI-enabled applications that facilitate data-driven decision-making and enhance productivity for large enterprises. Vue.ai serves multiple sectors, including retail, finance, insurance, logistics, and healthcare. It was founded in 2016 and is based in Redwood City, California.

Streamoid is a company specializing in AI technology for the fashion retail industry. Their services include AI-powered styling engines, product information management, and omni-channel retail solutions. Streamoid primarily serves the fashion retail sector with a focus on product discovery and data-driven decision-making. It is based in Bengaluru, India.
iLenze focuses on web server management and operates within the information technology sector. The company specializes in configuring and maintaining Apache HTTP server installations on Ubuntu systems. iLenze provides services to ensure web servers are optimized for performance and security. It is based in Bengaluru, India.

nyris specializes in visual search technologies within the AI and machine learning sectors. The company offers custom search engines that enable users to find products, spare parts, and components using images, keywords, codes, or 3D CAD files. nyris primarily serves sectors that require efficient spare parts management and enhanced search capabilities for industry and eCommerce. It was founded in 2015 and is based in Berlin, Germany.
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