Drag-and-drops bricks functionality to build custom solutions and pipelines.
Helping on each step of ML solution creation, but not limiting the users: data upload/connection, pre-processing, exploratory analysis, experimenting and modeling, post-processing, deployment and maintenance, storytelling and results sharing.
Convert your models into production APIs without devops help.
Train and productionalize machine learning models within one framework.
Create, monitor and operate production features and pipelines, share within organisation.
Template solutions for industry use-cases.
Two types of users : create (power user) and share with your stakeholders (viewer).