Free MorphL Shopify App

Until now, AI was so complex and cost-prohibitive that only a select few were able to use it in a truly meaningful way. We started MorphL with the mission of democratizing AI and putting it in the hands of e-commerce professionals that believe their customers deserve a superior, personalized experience.
MorphL can be used by marketers and developers alike. If you’re a marketer, you can start by reading the AI for Marketers playbook. If you’re a developer, check out our GitHub and API documentation.

If you have data scientists or machine learning specialists in-house, MorphL helps them be even more productive. If you don't have your own data scientists, that's fine, too. MorphL has implemented a suite of machine learning models and recipes, making it easy for marketers or developers to use the right one to AI-enhance their customers’ experiences.

Behind the scenes, MorphL’s scalable infrastructure consists of a hybrid cloud solution (Google Cloud Platform, Amazon AWS) and follows best practices such as: (1) all our servers are in a private network and are not accessible from the Internet, except for the API; (2) HTTPS/SSL for everything; (3) 2FA for our internal systems. If you have any specific concerns, please contact us and we'll be happy to assist.

Yes. Trust and transparency are core values of MorphL and to help you understand what we are doing for GDPR, we created a special section to answer these questions. More GDPR details here.

We'd love to hear from you, please contact us at sales@morphl.io or learn more about our pricing plans.

Generally speaking, accuracy refers to the closeness of a measured value to a standard or known value. We strive for that number to be as high as possible as it’s indicative of the machine learning model’s performance. This is a complex mathematical process that is fully described in the Research Papers we published.

NO, we do not aggregate data across online stores. Each machine learning model in our platform is trained on your private data and we do not share it across our clients. That’s clients are required to collect a decent volume of data before training the machine learning models they want to use.