Kortical's auto-ML platform accelerates the time it takes to move from explorational to deployment as a data scientist. By automating the vast majority of steps in a machine learning pipeline, Kortical enables a data analyst to build production ready machine learn solutions. There are a wide array of supervised learning algorithms to tackle different problems.

1) Easy to use interface for managers, business analysts, and data scientists. 2) Interoperable through API, for example easy integration to your Qlik Sense and Power BI dashboards. Where you can visualise all the results and integrate them in your day-to-day decision making. 3) Scalable to any company size through the power of Google Cloud. From small to large-scale enterprises. 4) A data science tool built by senior data scientists and can be trusted. 5) Not a black-box. Each row/result is explainable which is essential to most stakeholders.