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.
Media & Entertainment
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.
Ecommerce & Consumer
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.
Ecommerce & Consumer
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.
Truly spectacular… I’m totally impressed with not only the design but the development that went into this.
Through thousands of implemented features, we still feel lucky that we found them 5 years ago.
They’re always pushing their developers to become better at the frameworks they use. They’re great at hiring talented people.
As they did a great job, we felt that they could do a better job by rebuilding the entire app.
Their professionalism is unmatched. The ways they groom their engineers and the quality of engineering are really good.
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