Processing prioritizes the minimum necessary information, with optional on-device extraction that keeps raw photos local whenever possible. When cloud inference is needed, transport is encrypted, retention policies are strict, and deletion is immediate on request. You control diagnostic sharing and personalization settings, each explained in plain, human language. No dark patterns, no confusing toggles—just transparent choices that respect your boundaries. Because the confidence to experiment with images comes only when you know your data belongs to you, not to an algorithm.
Balanced training data and representative evaluation guard against one-size-fits-all outcomes. We monitor performance across sizes, skin tones, mobility aids, and religious dress to ensure suggestions remain inclusive and relevant. Feedback channels invite lived experiences to challenge blind spots and refine models. Merchants are onboarded with guidelines for diverse imagery and detailed attributes that enhance accessibility. When style advice honors many identities, discovery becomes kinder, richer, and more accurate, helping everyone see themselves reflected in both results and recommendations.
Fashion thrives on inspiration, but creators deserve respect. We avoid scraping sources without permission, favor merchant catalogs and licensed datasets, and identify logos to limit counterfeits. Visual matches emphasize attributes rather than unauthorized replicas, encouraging legitimate alternatives and official stock. If you upload editorial or runway images, notices clarify usage boundaries and link to purchase from rightful sellers when available. By aligning innovation with responsibility, we nurture a healthier ecosystem where imagination, commerce, and credit can thrive together.