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Zoovu helps e-commerce brands improve online sales with a suite of AI-powered tools. It structures and standardizes product data and uses natural language search to make products easier to find. Its no-code AI assistants turn product data and customer interactions into guided selling tools, product configurators, and search experiences. The company also provides 2D and 3D life-like experiences to show how products work together, enabling better cross-selling. Compared with rivals, Zoovu focuses on turning large product catalogs and customer data into discoverability and guided selling experiences that can be deployed quickly without coding. The goal is to help merchants digitize their sales process, boost ROI, and reduce costs through smarter product discovery and personalized shopping journeys.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Series C
Total Funding
$197.5M
Headquarters
Boston, Massachusetts
Founded
2006
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Total Funding
$197.5M
Above
Industry Average
Funded Over
7 Rounds
Industry standards
Remote Work Options
Flexible Work Hours
Phone/Internet Stipend
Wellness Program
Mental Health Support
Zoovu named a Visionary in the 2026 Gartner(R) Magic Quadrant(TM) for Search and Product Discovery. Zoovu advances to the Visionary quadrant, reflecting measurable progress in personalization, core search, and AI conversational discovery. Zoovu has been named a Visionary in the 2026 Gartner(R) Magic Quadrant(TM) for Search and Product Discovery. Notably, Zoovu is the only vendor positioned in the Visionary quadrant this year. The recognition marks a clear step up for Zoovu, which was positioned as a Niche Player in both the 2024 and 2025 reports. Gartner defines Visionaries as vendors that "demonstrate the ability to disrupt through innovative approaches." Zoovu Ltd see this recognition as a clear signal that Zoovu and its customers are ideally positioned to take advantage of the significant shift occurring in how shoppers find and choose products online. As one of the first vendors to deploy GenAI shopping assistants at scale for enterprise brands, Zoovu has spent years building for exactly this shift toward AI-native, conversational, and guided experiences. In the Magic Quadrant description, Gartner highlighted these strengths of Zoovu: * Data enrichment at scale. A proprietary product ontology spanning more than 17,000 categories and 50,000 attributes, using AI to enrich both structured and unstructured catalog data, which Gartner identified as the foundation for relevant search and recommendations. * An AI product finder built for complex catalogs. Experiences that can be dynamically invoked on shopper intent with support for compatible products, bundles, and real-time pricing that improve add-to-cart and conversion rates. * Growth into end-to-end search. Zoovu has expanded well beyond its roots in product finders into a full search and product discovery platform, strengthening core search and personalization year over year. "We see this recognition as validation of a bet we made early - that discovery, not just search, is what wins today's buyers. Our customers need to turn massive, complex catalogs into experiences that feel effortless and personal," says Jonathan Taylor, CEO of Zoovu. "Being named as the only Visionary tells us we're building the right thing, and with XGEN AI now part of Zoovu, we're moving faster than ever to make AI-native discovery the new standard for commerce." What's next The momentum doesn't stop here. In May 2026, Zoovu acquired XGEN AI, a next-generation AI search and recommendations engine. With the acquisition, Zoovu has been able to accelerate the product roadmap for conversational discovery, AI mode for search, AEO and GEO, and vibe merchandising. Together, Zoovu and XGEN are building the AI-native discovery layer for modern commerce: one that understands intent, speaks the shopper's language, and turns even the most complex catalog into an effortless path to purchase. (Note: the XGEN AI acquisition closed after Gartner's research cutoff and was not evaluated as part of the 2026 Magic Quadrant.) See what visionary, AI-native discovery looks like. About Zoovu Zoovu is the AI-native product discovery platform that unifies search, recommendations, personalization, guided selling, configuration, and conversational AI on one ecommerce revenue engine - enabling enterprise B2C and B2B teams to deliver more relevant, high-performing customer journeys across digital channels. Zoovu supports leading global brands including Microsoft, Bosch, Kate Spade, Coach, Valentino, Armani, Canon, Honeywell, and Trek. Gartner Disclaimer Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
Zoovu launches MCP Server to give AI agents product intelligence. Zoovu, the AI product search and discovery platform for enterprise commerce, announced the launch of Zoovu MCP Server, a Model Context Protocol (MCP) server that gives AI agents governed access to product data to accelerate sales, maintain brand integrity, and deliver a better customer buying experience. "Building an AI agent is easy; making that agent trustworthy for real product decisions is the hard part," said Jonathan Taylor, CTO and Co-Founder at Zoovu. As organizations deploy AI agents across customer and employee workflows, most find that agents can handle generic questions but fail on complex, real-world product questions from buyers. Product information is often fragmented across systems, lacks customer-centric context such as use cases, reviews, benefits, and applications, and depends on rules and relationships that AI cannot reliably infer, resulting in inconsistent answers and risky recommendations. With the Zoovu MCP Server, enterprises can now connect any MCP-compatible agent to enriched and standardized product data, compatibility and configuration logic, GenAI product and shopping experts and more - providing the consistent and trustworthy product information required for scalable agentic commerce. Agentic AI promises to radically remake the entire shopping experience, and the stakes are high for global brands and retailers: By 2030, the US B2C retail market alone could see up to $1 trillion in orchestrated revenue from agentic commerce, with global projections reaching as high as $3 trillion to $5 trillion, according to McKinsey research. "Building an AI agent is easy; making that agent trustworthy for real product decisions is the hard part," said Jonathan Taylor, CTO and Co-Founder at Zoovu. "Zoovu MCP Server gives every AI agent a safe, consistent way to tap into the product truth our customers already rely on. It turns agents into reliable advisors who can make accurate, explainable recommendations without rebuilding data models from scratch." Zoovu MCP Server gives AI agents an easy, standardized way to access the same product intelligence that powers Zoovu's search, guided selling, configurators, and AI assistants that are trusted by global enterprises such as Microsoft, Honeywell, and Bosch. These AI agents can search, compare, configure, and explain products with accuracy and governed consistency using Zoovu as their product brain instead of piecing together incomplete data. Early adopters are already seeing impact: A global medical device manufacturer with over $2B in revenue connected its internal agent to Zoovu MCP Server and immediately improved accuracy on procedure-specific and compatibility questions, resolving more inquiries immediately and increasing usage by sales and support staff. Powering the highest-value agentic commerce use cases. * Internal sales and support agents that answer complex product queries such as compatibility and configuration questions accurately, improving associate productivity and escalations. * On-site shopping agents that recommend, compare, and configure products in real time, increasing conversion and average order value. * Customer service agents that resolve product-focused issues without specialist escalation. * ChatGPT apps and custom GPTs that can search, filter, compare, and explain products using structured, rules-aware product intelligence, opening channels on new marketplaces. "Our customers have always relied on Zoovu to unify and enrich their product data," Taylor added. "MCP Server extends that intelligence to every AI agent they launch with accuracy, governance, and consistency they need to make AI part of their core commerce strategy." Built for what's next in agentic commerce. Zoovu MCP Server also prepares organizations for the next wave of agentic commerce, from Generative Engine Optimization (GEO) and instant checkout on gen AI platforms to emerging agent-to-agent commerce models. In these scenarios, Zoovu MCP Server can be the single, governed interface through which buyer and seller agents understand products, constraints, and configuration logic. Zoovu MCP Server is now available for all Zoovu customers and supports any MCP-compatible agent, including internal systems, third-party platforms, and ChatGPT apps.
Zoovu launches enhanced AI shopping assistant for enterprise ecommerce.
Zoovu recognized as Major Player in 2024 IDC MarketScape report of Worldwide Knowledge Discovery Software for External-Facing Use Cases.
Zoovu, a leading AI-powered search and product discovery platform, announced a strategic partnership with Shopware, a leading global ecommerce platform.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Series C
Total Funding
$197.5M
Headquarters
Boston, Massachusetts
Founded
2006
Find jobs on Simplify and start your career today