ARKEDA builds solutions helping you automatically process paper documents of any kinds, store and analyze data and save resources and time!
We can help you digitize a database of oil&gas technical documentation, to let AI automatically search through it and advise a user how to solve issues and industrial incidents, and take better decisions.
We have built an app that can store and share with a doc patient's test results and CT/MRI scans, etc. The app can give recomendations for various conditions.
Doctors get an access to the data labeling tool helping the app better diagnose conditions.
We have built an interface letting users upload files, derive texts and schemas out of them and save it in a database. Apart from search and filtering procedures, a user is allowed to create and edit mockups for automatic text/image recognition when the document type is known. Moreover you can find the documents that are related to each other by the parameters of your choice.
ML module for invoice conversion from PDF file to XRechung and PEPPOL BIS invoice formats.
ML module for chemical database was developed in cooperation with Webware Inernet Solutions Gmbh on behalf of Wintershall Dea GmbH
E-Card App can store and share with a doc patient's test results and CT/MRI scans.
ML module extracts information from scanned documents, finds keywords and creates meta information for storage in the electronic archiving system