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VibeIQ
  • GTM Technology
  • Data, Analytics & Automation

VibeIQ is an AI-native product decision platform that gives consumer brands and retailers one live view of the product line to decide what belongs in the assortment, how it should evolve, and which products to back commercially.

  • Roger Hurwitz
  • Michael Brannan
  • Trevor Eckler
  • Emily Yoon
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SECTION:ABOUT

About VibeIQ

VibeIQ brings merchandising, design, and product development teams together around one live product line, connecting unstructured visual and creative context with structured product, assortment, and commercial data. By preserving the feedback, rationale, and decisions surrounding the line as it evolves, VibeIQ gives both teams and AI the context to evaluate products within the broader assortment and make better decisions earlier. The platform helps brands identify gaps and duplication, evaluate tradeoffs, and determine which products deserve continued investment before significant development and inventory commitments are made.

Background

Some of the most consequential decisions in consumer products happen before a product reaches traditional downstream enterprise systems. Teams must determine what belongs in the line, which concepts should survive, where they are overdeveloping, what is missing from the assortment, and how individual product decisions affect broader commercial objectives. Yet these decisions are often made across spreadsheets, presentations, creative tools, and disconnected systems, causing feedback, creative intent, commercial constraints, and decision rationale to become fragmented. As AI dramatically increases the number of concepts and variations teams can create, this problem becomes even more pronounced. VibeIQ was built to give people and AI the shared context needed to evaluate the product line and make better decisions before downstream commitments become expensive.

Why We Invested

We believe VibeIQ is building a foundational product decision platform for consumer brands and retailers – one that helps teams determine what belongs in the product line, how the assortment should evolve, and where to commit development resources and inventory capital. VibeIQ’s ability to connect unstructured visual and creative context with structured product, assortment, and commercial data gives both teams and AI a uniquely rich foundation for decision-making. We have also been impressed by Brian Lindauer and the VibeIQ team’s deep domain expertise, strong customer adoption, capital-efficient growth, clear customer ROI, and thoughtful approach to AI. As generative AI makes it easier than ever to create new product concepts, we believe the ability to consistently identify and back the right ones will become increasingly valuable – positioning VibeIQ to become an important decision layer for the next generation of consumer brands.

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