Lily AI

We bring every consumer's emotional context to their shopping experience.

Silicon valley

11 - 25 employees

< 10 engineers

$2m - $5m funding

Pre-series a

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Lily AI's vision is to power unique and emotionally intelligent customer journeys in e-commerce using AI.

One of the biggest unsolved challenges in eCommerce today is enabling customers to 'feel' good about making a purchase. This has resulted in very low conversion rates and very high return rates for the entire industry. Retailers have tried to create more personalized experiences online using behavioral and demographic data (i.e., what, where, when) but have not been able to add the most important piece, emotional data (‘why’).

Starting with apparel, Lily AI decodes consumer’s emotions and self-perceptions (extracted from consumer clickstream using emotional intelligence technology) and identifies thousands of product features (extracted using industry leading deep learning and image recognition technology) to match individual consumers with the right products for them, instantly.

Backed by NEA, Lily AI won the Best Startup award at the Startup Conference and at SXSW in 2017.

Why join us?

We are working with some of the top luxury brands and retailers in the US to power their digital experiences with our AI platform.
We are backed by NEA and other awesome angel investors/advisors who have worked previously at Jet.com, Airbnb, Box, Gap, Yelp, NASA, Netflix, Apple etc.
We have won the Best Startup award at SXSW and the Startup Conference in 2017.

Engineering at Lily AI

Technical Challenges

We are building services that can ingest millions of product SKUs and user interactions to generate real time apparel recommendations for consumers. We dissect the user behavior to understand the 'why' behind what they do.

Tech stack

Keras

Tensorflow

Ruby on Rails

Python

React

Java

JavaScript

Pytorch

Kafka