Atolla vs Tenon

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

Web accessibility testing has a problem: testing after the fact. Tenon seeks to solve that.

Tenon is a one of a kind accessibility testing tool in that it is aimed at offering unprecedented flexibility in tooling for designers developers testers and content authors.

Tenon achieves these goals via its API which can be seamlessly integrated into your existing toolset. It doesn't matter what IDE you use, what CMS you use, what automated build and deploy tool you use, or what you use for unit testing, acceptance testing, or issue tracking, Tenon can be added to these workflows. This ability to test early and often allows you to catch and fix accessibility issues before they happen, not after, and allows you to release accessible code from the beginning.