MARVEL.ai can be set up in minutes and it can seamlessly be integrated into your existing business processes. Once setup, the solution needs to be configured, define taxonomy and train the models within a few minutes. Upload sample documents to train, set your confidence threshold, identify validation users and let AI do the rest.
The workflow is divided into two steps, classification and extraction. MARVEL.ai takes a document as input and uses AI to classify it. Then, the data is extracted and mapped to a taxonomy structure so it can be stored or incorporated into upstream or downstream business processes.
Once your documents are uploaded, Marvel.AI auto-classifies them. Then it performs data extraction based on the taxonomy defined. If the confidence level is below the defined threshold, a task is created and the validation user gets a notification, who then verifies the document data on screen. Every time you do this, Marvel.AI learns and gets better.