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Outfindo turns verifiable consumer research into the structured product data that modern commerce runs on – for human shoppers today, and AI shopping agents tomorrow. LLMs know what a product is. They don't know which product fits which customer, in which market, for which need, and that judgment doesn't exist in a form Google or an AI assistant can query. So shoppers hesitate, and AI agents skip products or get them wrong. We build the layer that closes that gap. Everything starts with research. Our proprietary, academic-grade consumer research decodes how people actually choose in a category: their goals, trade-offs, and the limits under which a product shouldn't be recommended. We turn that into structured, verifiable product data and render it across the surfaces commerce is shifting toward: • Product Guide – an interactive advisor that leads shoppers to the right product on category and product pages • PDP Content System – per-SKU product content readable by people, Google, and AI agents alike • Consumer research, category trees, and filters – the decision structure underneath Every value traces back to a verified source. No source, no claim. So nothing is invented, and responsible AI can recommend with confidence. It's infrastructure that complements your content and systems, never a rip-and-replace. And as AI gets better at shopping, it only needs cleaner, decision-grade data. Exactly what we make. For retailers, that means higher conversion and order value, fewer returns, and products that get found in the new AI-driven shopping journey. Consumer minds are stable; channels change fast. Because we build on consumer research, we're ready for whatever comes next.

OUTFINDO Questions

The OUTFINDO annual revenue was $6.7 million in 2026.

Martin Chrz is the Co-Founder, Data and Algo of OUTFINDO.

13 people are employed at OUTFINDO.

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