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Lily AI is a technology company.
Lily AI has raised $84.5M across 5 funding rounds.
Key people at Lily AI.
Lily AI has raised $84.5M in total across 5 funding rounds.
Lily AI provides an AI-powered product content optimization platform designed to enhance product discovery and sales for e-commerce businesses. Its core technology analyzes, enriches, and integrates product data, effectively bridging the gap between how brands describe items and how consumers search for them. This specialized approach improves visibility and performance across diverse channels, including search engine marketing, organic search, and on-site e-commerce functions like recommendations and filtering.
The company was founded in 2015 by Purva Gupta and Sowmiya Chocka Narayanan. The initial insight stemmed from Purva Gupta's personal frustrations with online shopping, observing a significant disconnect between brand terminology and the descriptive language used by consumers. This challenge inspired the co-founders to create a solution that leverages artificial intelligence to translate and optimize product attributes for better consumer understanding and engagement.
Lily AI serves various brands and retailers, primarily within the fashion, home, and beauty sectors, enabling them to boost site conversion and full-margin sales. The company’s vision is to facilitate a seamless online shopping experience where every product is easily discoverable through the precise language customers use, thereby maximizing customer satisfaction and business growth.
Lily AI has raised $84.5M in total across 5 funding rounds.
Lily AI's investors include Conductive Ventures, 7GC & Co, BlueRun Ventures, Camber Creek, Canaan Partners, Grit Capital Partners, Interplay Ventures, Left Lane Capital, M13, QEY Capital, Raine Ventures, Top Tier Capital Partners.
Key people at Lily AI.
Lily AI is an AI-powered product content optimization platform that bridges the gap between merchant descriptions and consumer language, enabling retailers and brands to enhance product discovery, search, and personalization across the eCommerce ecosystem.[1][2][3][6] It serves major retailers like Bloomingdale's in fashion, home, and beauty sectors, solving the problem of mismatched product attributes—such as translating "Stay-in-Place Flawless Wear Cashmere Matte Foundation" into "lightweight summer foundation"—through computer vision, NLP, machine learning, and LLMs trained on over 3 billion data points.[1][5] This foundational layer integrates seamlessly with existing tech stacks, driving 8-9 figure revenue uplifts via improved site search, recommendations, SEO/SEM, demand forecasting, and conversion rates, with recent recognition on the 2024 Inc. 5000 list for rapid growth.[1][3][7]
Lily AI was founded in 2015 by Purva Gupta (CEO) and Sowmiya Chocka Narayanan (CTO), both with deep AI expertise, to create a shopping experience that understands shopper emotions and context in unprecedented ways for online commerce.[3][6] The idea emerged from recognizing the disconnect between how merchants describe products and how consumers search for them, evolving into an enterprise-grade platform that injects customer intent into retail tech stacks.[1][5][6] Early traction came via investments, including Fernbrook Capital leading a 2018 Series A bridge round after meeting in 2017, and partnerships with NEA, building to 89 employees and proven results like standardizing product language at Bloomingdale's.[3][5]
Lily AI rides the AI-driven retail transformation wave, optimizing content for algorithmic search, generative engines, conversational commerce, and personalized recommendations amid booming eCommerce and AI adoption.[2][8] Timing is ideal as retailers face fragmented stacks and consumer demands for intuitive experiences, with Lily's solutions countering sales losses from sub-optimized content in traditional and AI search environments.[2][5] Market forces like rising AI integration in retail workflows and the need for structured data in LLMs favor its foundational approach, influencing the ecosystem by enhancing entire value chains—from design to media—and setting standards for human-AI synergy in commerce.[1][2][6]
Lily AI is poised to expand its platform with advanced GEO/SEO tools and deeper generative AI integrations, capitalizing on retail's AI boom to further personalize omnichannel experiences.[2][8] Trends like conversational search, predictive demand, and ethical AI will shape its path, potentially amplifying influence through more enterprise wins and ecosystem partnerships. As a leader in empathetic commerce, Lily AI will continue driving revenue revolutions, evolving from attribute pioneer to indispensable retail intelligence layer—proving that understanding consumer hearts unlocks scalable growth.[1][7]
Lily AI has raised $84.5M across 5 funding rounds. Most recently, it raised $20.0M Series B in March 2024.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Mar 1, 2024 | $20.0M Series B | Conductive Ventures | 7GC & Co, BlueRun Ventures, Camber Creek, Canaan Partners, Grit Capital Partners, Interplay Ventures, Left Lane Capital, M13, QEY Capital, Raine Ventures, Top Tier Capital Partners, WestWave Capital, Dennis Crowley, Kevin Hart, Mark Cuban, Whitney Cummings, Maha Ibrahim, Cendana Capital, Counterpart Ventures, NEA, Sorenson Capital, Transform Capital |
| Aug 24, 2022 | $25.0M Series B | Canaan Partners | |
| Jun 1, 2022 | $25.0M Series B | Canaan Partners, Top Tier Capital Partners, WestWave Capital | |
| Jan 9, 2020 | $12.5M Series A | Maha Ibrahim | Fernbrook Capital, NEA, Unshackled Ventures |
| Dec 1, 2017 | $2.0M Seed | Astir Ventures, Cultivation Capital, Maveron, New Enterprise Associates, Amit Mukherjee |