Use MorphL™ to predict user behaviors, enable personalized digital experiences and increase product KPIs.
Discover the change that MorphL can drive in your organisation by harnessing the power of AI/ML.
Data-driven personalization can deliver up to 8X the ROI on marketing spend and lift sales 10% or more.
Understanding user behaviors in mobile & web applications can increase conversion rates up to 50%.
Enable developers without prior machine learning expertise to easily AI-enhance their digital products.
Drastically reduce the amount of time required to infuse AI into your applications by eliminating the hassle of dealing with Big Data & ML infrastructure management.
From churn prediction and shopping stage prediction to recommender systems and user search intent prediction.
We cover a wide range of data sources: Google Analytics, Google Ads, Mailchimp and many, many more.
Once the predictive model has been trained you can immediately start exploring predictions and make data-driven decisions.
We have a number of high-profile brands and enterprise clients, always seeking out the next opportunity to drive engagement. We’re working with MorphL and a client (20 million page-views per month multisite) to increase retention and loyalty with AI-targeted campaigns.
Noel Tock - Chief Growth Officer, Human Made
We've been working with MorphL during European Data Incubator to predict user intent based on search queries so the account marketing manager can create specific and more relevant ads generating higher conversion rates.
Elias Badenes - Big Data Architect at JOT Internet Media
PressOne is proud to partner with MorphL for Google DNI and offer a personalized experience on our site by using machine learning to identify user behaviors to maximize value for our readers.
Trevor Lothrop – Co-founder PressOne
MorphL comes in two versions
For companies that want to AI-enhance their digital experience without the hassle of dealing with big data & machine learning infrastructure.
Open source SDKs targeted towards software engineers that want to fully manage their Big Data and ML infrastructure.