Our recent case studies showcasing how we helped companies like MasterClass and Google to high profile figures like Tony Robbins & Snoop Dogg.

Created an App That Provides Personalized DNA-Based Recommendations
In partnership with the Generis Chief Science Partner and PhD in Human Genetics, Rootstrap built a complex algorithm to allow Generis to provide a high level food and activity plan, in addition to the individual reports based on genetic markers.

Taught Design Sprints to the Google Opus Team
Rootstrap was brought on by the team to support a design sprint for the new product suite.

Helped MasterClass Build New Features And Double Their Revenue

MasterClass was struggling to find local, high-quality talent in one specific programming language for their frontend, ReactJS. Fortunately, they realized they didn’t need to do everything in-house to reach their goal of doubling revenue. That’s when they found Rootstrap.

Rootstrap’s Machine Learning Engineers developed a platform/architecture with a realtime summary of a patient’s clinical encounters for any given date.

Established Merry Jane as a Cannabis leader

Snoop Dogg’s vision was to create an all encompassing cannabis platform, offering an ecommerce store, dispensary discovery platform, and original content targeted at those who might not read a traditional weed blog. He needed Rootstrap’s technical expertise to balance so many disparate parts in a professional, easy-to-use platform.

Helped Ownable make $2.5M in a single day on Black Friday

Ownable’s existing website crashed only hours into Black Friday, the biggest shopping day of the year, causing Ownable to potentially lose out on thousands of customers and sales. The next year, they couldn’t afford that to happen again…that’s when they turned to Rootstrap for help.

Helped WalletJoy Create a Personal Finance Website that Achieves 25% Visitor Retention

WalletJoy needed a website that was clean and easy to use, and also that their internal team could maintain. This is how we did it.

Rootstrap built an innovative, fully functional, and constantly improving Waste Classifier mobile application, powered by Machine Learning, that can successfully classify different types of waste.