Focus on full document cycle
We sort documents by type, read and upload them, structure each document, turn documents into a table with key data and compare them to each other. We do complex post-processing (collation, bundles, intelligent search).

A non-technical user can easily add new document types for free and train them on a small number of examples.
Collection
Processing
Post-processing
Sorting
Records classification
Extracting information
Error capturing
Reconciliations
Redelivery binders
AI powered search
Backup
Communication
Transition handling
M&E* systems (AMOS, etc.)
Scans
API
Maintenance
Engineering Work
Auditing
Building Records
Live Reports
Our Features
Sorting Documents
- Defining the type of document
- Splitting files into separate documents
- Changing the page order
Extracting Data
- Extracting data from documents without templates
- Supporting unstructured documents and complex tables
Storing and Searching
- Documents are easily found
by requisites
- Sorting and filtering
Editing the Document Type
- Support of list fields and integration with directories
- Post-processing formulas can be added (classification, intelligent search)
Simple Formulas
- Creating formulas for performing mathematical and other operations
- Formulas can consist of constants, post-processing, operators (logical and mathematical), functions


Formulas
for Intelligent
Search
Formulas for intelligent
document search by requisites
Document Comparison (Differences)
- Showing differences between documents, including scans and draft documents
- Creating versions of documents from the incoming flow
Document Comparison (Matches)
Showing matches between documents, including different formats.
Bundles
Document bundles are automatically formed. The user can manually correct them.
Active Learning
Marking the same field
over multiple documents,
which increases verification
by 2-3 times.