A cloud machine-learning platform to create, train and deploy models.
Perceptor is a cloud machine-learning platform that enables developers, data scientists, ML engineers to create, train and deploy models on cloud. It provides pre-trained, built-in ML algorithms along with customization for all types of users including programmers to non-programmers.
Python, Kubernetes, Spark
Perceptor is an Integration Platform as a Service (iPaaS) solution.
Create, Train, and Deploy ML Models on Cloud
Create ML Pipelines
Create ML pipelines with/without Data Science, ML or statistics background.
A flexible solution to create models by different level of customizations from UI driven solution with minimal manual intervention to complex programming.
Use any type of data including structured and un-structured and tackle any data problem, including supervised, unsupervised and out-of-box solutions.
In case of high-volume tables, Perceptor can be scaled on demand if required
Perceptor has the following features and advantages: