Silicon Valley startup Yerbabuena Software has announced a 2.0 version of its Athento document management software, offering automatic classification and extraction of information from documents by applying powerful algorithms for text and image analysis. 

The 2.0 version incorporates support by Machine Learning, as does an improved version of its semantic auto-tagging feature for document, which is already available through Box.net.

A new interface  allows users to configure practically all of the capture process from the front-end, while an API and a series of web services increase the capacity for integration of the tool and which also allows for mobile capture and processing.

“Athento combines intelligence, ease of use, precision and power to meet the needs of businesses that are not happy with the software that is currently available on the market,” says Jose Luis de la Rosa, CEO of Yerbabuena Software Inc. 

“For them, this product represents significant savings, thanks to process automation and a powerful yet flexible product for smart document management”.

A trial version of the 2.0 beta version of Athento is available at http://www.athento.com/en/.

The company plans on having version 3.0 ready for November.

Athento uses CMIS connectors which allows it to work with ECM platforms such as SharePoint, Alfresco, OpenText or Documentum. This new version also offers the possibility of uploading documents from DropBox and other capture mechanisms such as capture from e-mail and hot folders.