Product stack

PSYKHE AI is a taste-intelligence infrastructure layer that understands people and products at a far deeper level than rules, metadata, or legacy personalization engines ever could.

At the core is our world model of taste - a multidimensional system that maps psychographic, aesthetic, and behavioral signals across your entire catalog. This model powers real-time intelligence for every touchpoint: browse, search, recommendations, agentic interfaces, and MCP-based systems. With rich product vectors and instant grounding of user intent, we deliver lift from the very first click, not after months of accumulated data.

Retailers plug in once and replace fragmented logic across their stack with a single intelligence layer that adapts, compounds, and continuously optimizes the experience.

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There’s real causality under the hood

PSYKHE AI’s psychographics aren’t guesswork or cute personality labels - they’re grounded in years of research into how Big Five traits (the most robust and predictive model in personality science) reliably map to aesthetic, product, and behavioral preferences. We’ve run controlled studies, built cross-domain datasets, and validated correlations between traits and the latent visual, semantic, and structural cues people gravitate toward. That intelligence is embedded directly into our model architecture: product vectors, user vectors, and interaction signals are all anchored to these psychographic dimensions. The result is a system that doesn’t just pattern-match - it understands why someone prefers one thing over another, and can generalize that taste instantly across categories, seasons, and contexts.