MorphL Community Edition uses Big Data & Machine Learning to predict user behaviors in digital products and services with the goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization. MorphL AI is funded through Google Digital News Initiative and European Data Incubator.
The process of building successful data-driven products undergoes many iterations. Data scientists, product manager, marketing or sales people and software developers need to come together to analyze the data and create a feature list for the next product release. This leads to lots of guess-work, not to mention the huge amount of time and resources required to reach a decent result, whether that’s spent on analyzing the data or developing new or improved product features.
MorphL reduces the complexity of implementing a personalized digital experience by offering built-in ML models & algorithms that cover a wide range of data sources and use-cases.
 | MorphL Platform The backbone of the platform is the MorphL Orchestrator, that sets up the Big Data techstack required for running pipelines for data ingestion, models training and generating predictions. |
 | MorphL Integrations We integrate with various data sources. At the moment, we support Google Analytics, Google Analytics 360, BigQuery, Google Cloud Storage and AWS S3. |
 | MorphL Predictive Models We're utilizing open-source machine learning algorithms to build predictive models which are then used to develop predictive applications. |
 | MorphL Predictions API All predictions are available via a REST API, which makes it easier for software developers to incorporate AI capabilities within their digital products or services. |
The setup guide is available here.
The MorphL Platform consists of two main components:
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MorphL Platform Orchestrator - This is the backbone of the platform. It sets up the infrastructure required for running pipelines for each model.
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MorphL Pipelines - Consists of various Python scripts, required for retrieving data from various sources, pre-processing, training a model and generating predictions.
The code that you'll find in this repository is a mirror that we use for making releases. If you want to contribute to a pipeline or create a new model, please open a pull request in the corresponding repository from the MorphL-AI organization.
You can read more about MorphL here: https://morphl.io. Follow us on Twitter: https://twitter.com/morphlio. Join our Slack community and chat with other developers: http://bit.ly/morphl-slack
On-premises, Cloud or Hybrid. For companies that want to AI-enhance their digital products & services without the hassle of dealing with a Big Data & Machine Learning infrastructure, we offer several deployment options that best suits your business needs and budget.
For enterprise sales or partnerships please contact us here or at contact [at] morphl.io.
Licensed under the Apache-2.0 License.