Develop, Integrate, Deploy, and Manage machine learning models all from a single platform.
Our AutoML, ModelOps, and DataOps capabilities free up considerable bandwidth of your data scientists, machine learning engineers, DataOps engineers, and AI reliability engineers, and they can focus on other priorities and innovation projects.
Algomox Data Pipeline Manager helps you to integrate your enterprise data from the myriad of batches and streaming sources to your AI pipeline with few clicks and simple configurations and save up to 60% of the time and effort compared with developing several modules for data collection.
Algomox MLOps Platform helps you to automate your feature engineering tasks, develop your machine learning and deep learning models with AutoML, handle the data management with DataOps and run and serve your AI pipelines with ModelOps. To learn more, download our MLOps white paper.
FREE EDITION
Major features : Feature engineering, deep feature synthesis, classification (limited) and batch mode prediction
Term : 7 days
Projects : 1
Modeling Data Size (per project) : 100KB
Serving Data Size (per project per unit term) : 100KB
Data Feed : File only
Delivery Mode : SaaS only
Support : E-mail only
Try For FreeSTANDARD EDITION
Major features : Free edition features, classification and regression
Term : 30+ days
Projects : 5
Modeling Data Size (per project) : 30MB
Serving Data Size (per project per unit term) : 90MB
Data Feed : File only
Delivery Mode : SaaS only
Support : E-mail only
Request DemoENTERPRISE EDITION
Major features : Standard edition features, clustering, anomaly detection, time series prediction, stream mode prediction, dashboard and reports
Term : 30+ days
Projects : 20+
Modeling Data Size (per project) : 90MB
Serving Data Size (per project per unit term) : 30GB
Data Feed : API, Queue and Stream
Delivery Mode : SaaS and On-Premise
Support : E-mail, phone and remote desktop
Request Demo