Atolla vs indbl

Personal Skincare, Powered by Machine Learning

Atolla uses machine learning to pinpoint the cause of your skin issue and give you a personalized solution to address it. Designed at MIT, the Atolla system includes a simple, 10-minute at-home skin test and a personalized serum formulated based on your skin measurements, environment, and lifestyle. Each month, you get the testing tools and serum adapted to your prior month’s measurements. Over time, Atolla predicts what your skin will need before you have an issue. Track your progress and connect to people with similar skin using Atolla’s Skin Health app.

Location: Brooklyn, United States

Research Automation for Amazon Merchants. Source smarter, save time, and make more money.

Indbl optimizes the Amazon Merchant's workflow. We automate and focus the product research process, allowing users to research up to 10,000 products at a time. Indbl users target products to resell in a few clicks, saving hours of time.

Product research used to entail painfully researching one item at a time. For a potentially promising acquisition, merchants subtract their cost and manually calculate fees from Amazon's lowest price to determine profitability. We provide a beautiful nexus of data combining margin, product rating, competition, etc. We accomplish this for FBA (Amazon-fulfilled orders) and MFN (merchant-fulfilled).

Indbl takes a user's uploaded spreadsheet of their potential products and prices and then outputs real targets based upon a product's popularity, profitability, and competition level. We save time and help allows ecommerce retailers make more money, faster.