Rinalogy Classification API performs classification of unstructured data by applying Continuous Active Learning .

Advanced modeling techniques to build and apply models to quickly find responsive documents for all tags;

Simultaneously train multiple models (a model for each tag);

Proprietary workflow with unique capabilities that lets users train a software model by reviewing and tagging a small portion of the data set;

No need for seed sets;

Need only a few reviewers regardless of the size of a document set;

Real-time monitoring of model building;

And others.

Rinalogy Classification API can be used to add text classification, search, and recommendation capabilities to a client application;

Rinalogy Classification API can be deployed in your IT infrastructure, close to your data and behind your firewall;

Scalable cluster deployment allows you to adjust the number of workers depending on your workload.