Lily builds a personal-styling service that matches clothing to how women feel about their bodies using algorithms, deep learning and machine learning. The product asks users about body type and perceptions, then adapts recommendations as users shop. The company trained its models on more than 50 million data points and analyzed over a million product recommendations, assigning 1,000+ attributes to individual items. Lily offers an iOS app and web app and exposes an API retailers can integrate with their catalogs; its demo aggregates recommendations from 60 stores and the company currently earns affiliate revenue. It is beginning paid pilot integrations with a handful of retailers and plans to announce details in the coming months. The founding team includes CEO Purva Gupta and CTO Sowmiya Chocka Narayanan, and the company has 16 full-time employees in Palo Alto.

Total raised

$2M

Funding rounds

1

Latest round

Seed

Latest activity

Dec 2017