Polanyi Labs

Polanyi Labs is a synthetic behavioral data platform that turns website URLs into shopping journeys and recommendation-system event logs.

Polanyi Labs provides synthetic behavioral data for recommendation systems to solve the recommender cold start problem for direct-to-consumer brands without requiring existing user data. The platform simulates human shopping journeys where synthetic personas browse, compare, reject, and buy across a category. It captures micro-decisions that reveal preference to deliver dense, human-like interaction data. Users can plug this packaged behavioral data into their tech stack so personalization starts converting before gathering millions of sessions. It targets new and growing direct-to-consumer brands that lack years of historical browsing data. Founders offer live walkthroughs, data discussions, and pilot planning.

Polanyi Labs at a glance

Best for: Marketer, Product manager
Pricing: Paid
Released: October 2026
Category: AI research tool
Website: polanyilabs.com

Key features

Turns any website URL into synthetic shopping journeys
Generates recommendation-system event logs
Simulates human shopping journeys with synthetic personas
Captures micro-decisions that reveal preference
Delivers structured signals for ranking models
Provides behavioral data for direct-to-consumer brands

Use it for

Overcoming the recommender cold start problem for new brands
Generating behavioral history before gathering customer sessions
Training recommendation systems to rank products for first-time visitors

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