InfAnywhere vs MatrixEase

Infanywhere is a powerful smart platform, containing everything you need to manage all your information.

Infanywhere is a simple but smart platform for creating any information managerial applications.

Any user, doesn’t matter experienced or not, can create its own application with different complexity. Preset templates with demo data help you to create application fast and easy.

Anyone can make his own application which facilitates running business. No coding knowledge requires. All you need is device with Internet connection.

No more unused buttons and awkward interface, now it is You, who organize your own data and workplace to work with it. Data structure and all interface elements can be changed or disabled according your demands.

You can implement Infanywhere in your current business system without any problem. Use API to integrate with other services, import to rapidly upload your data from Excel and export for receiving results.

Share information, reduce time for collecting it by working together with your colleagues. You can invite new users just by sending emails to them. No more additional messages, you can make comments inside Infanywhere to get in touch with your collaborators.

Location: New York, United States

See data the way you think about it - An Innovative Visualization and Analysis Tool for large matrix data

The categorization of text, numeric, date and time elements into easily consumable groups allows the user to be able to visually consume large quantities of data in a compressed/categorized format. The visualization of data also supports visual filtering of the result set to allow further identification of significant data relationships. The system reads in matrix data from your defined source and then automatically categorizes the data into human consumable groups. The system then displays the resultant data to the user in a format that is easily understandable and further allows the user to take action on the data to either further filter or see detailed metrics on the data. The system visually displays the data and categorizations to allow the user to identify significant data relationships.

Location: Branford, United States