Automatic document processing

AI making document management smarter

Classifying and sorting documents

Extracting
information

Performing complex
post-processing

Supporting electronic
document archive

Request a demo

Marc Carena
Managing Director McDonalds
We need a program to manage our document flow better, considering that we have 63,000 employees, and also to make it fun, because my oldest director is 63, and I think your program is a great idea. We are currently working on digitizing the entire document flow and we want ApRbot to help us streamline it.
Lev Khasis
First Deputy Chairman of the Executive Board, Sberbank
ApRbot recognizes printed and electronic documents and helps companies be significantly more efficient.
ApRbot was able to launch a number of pilots with Sber Group companies.
Grigory Bakunov
Director of Technology Distribution, Yandex
We appreciate a lot the ApRbot technology.
Maxim Kandyba
Partner, Head of Banking and Finance, Bankruptcy, Intellectual Property and IT, Commercial Disputes, PwC Legal, PwC
AI-powered ApRbot solution helps to extract and analyze information needed
to make management decisions.
Anton Mukhin
Managing Director, Department of Business Analysis and Coordination, VTB
AI analyzing the loan disbursement reduced the time for checking a package of documents from 4 hours to 5 minutes and allowed the company to switch from manual checking of printed documents to electronic copies.
Ivan Korytov
Director, PwC
We see high potential of ApRbot technology and use it to improve our consulting services and automate the analysis of confidential documents.

Challenges our clients face

Finance

Retail

Insurance

Credit Line
Processing incoming flows of documents (applications, passports, vehicle certificates, certificates, charters, powers of attorney, extracts, etc.).
Payment Control
Credit control of documents for proper use of credit (bills, certificates, acts of acceptance,
notes of cost of performed work, integrated delivery notes, invoices, etc.).
Government Inquiries and Court Documents
Analysis of inquiries from government agencies and court documents (court orders, writs of execution, requests from the Ministry of Internal Affairs to disclose client information).
Legal Documents
Automatic legal analysis of contracts, including analysis of a significant array of contract files, terms comparison, highlighting discrepancies.

Procurement Documents
Reconciliation of terms and conditions of primary documents with protocols and contracts. Monitoring the amounts in invoices and their compliance with limits.
Personnel
Documents
Automatic classification.
Extraction of key information.
Forming document bundles.
Source Documents
Entry of source documents: invoices, certificates, delivery notes, bills, integrated delivery notes, acts of acceptance, notes of cost of performed work.
Electronic archive
of documents
Sort and analyze technical documentation, categorize it into groups and types. Organize archival cloud storage with the backup possibility.

Source Documents
Entry of source documents: invoices, certificates, delivery notes, bills, integrated delivery notes, acts of acceptance, notes of cost of performed work.
Legal Documents
Automatic legal analysis of contracts, including analysis of a significant array of contract files, terms comparison, highlighting discrepancies.
Procurement Documents
Reconciliation of terms and conditions of primary documents with protocols and contracts. Monitoring the amounts in invoices and their compliance with limits.
Personnel
Documents
Automatic classification.
Extraction of key information.
Forming document bundles.

Electronic document archives
Sorting and analyzing technical documentation, categorizing it by groups and types. Organizing archival cloud storage with a backup option.
Comparison
of Documents
Finding matches and differences between documents, labels, technical documentation and table information.
Government Inquiries and Court Documents
Analysis of inquiries from government agencies and court documents (court orders, writs of execution, requests from the Ministry of Internal Affairs to disclose client information).

Table Consolidation
Retrieval of information from non-template reports, including car services, medical and insurance agents reports, and turning it into structured data.
Legal Documents
Automatic legal analysis of contracts, including analysis of a significant array of contract files, terms comparison, highlighting discrepancies.
Source Documents
Entry of source documents: invoices, certificates, delivery notes, bills, integrated delivery notes, acts of acceptance, notes of cost of performed work.
Procurement Documents
Reconciliation of terms and conditions of primary documents with protocols and contracts. Monitoring the amounts in invoices and their compliance with limits.

Personnel
Documents
Automatic classification.
Extraction of key information.
Forming document bundles.
Electronic document archives
Sorting and analyzing technical documentation, categorizing it by groups and types. Organizing archival cloud storage with a backup option.
Government Inquiries and Court Documents
Analysis of inquiries from government agencies and court documents (court orders, writs of execution, requests from the Ministry of Internal Affairs to disclose client information).

What we do

We add new document types for free
A non-technical user can create a template-free model for a new document type in 10 minutes for free.
We sort documents
We define document type and split files into separate documents.
We extract data
We extract data from documents without templates and support unstructured documents and complex tables.
We store and search
for documents
It's easy to find documents
by requisites, sort and filter them.

We add formulas
We create formulas for performing mathematical and other operations.
Formula for intelligent document
search by requisites.
We compare documents
We find differences and matches between documents, including scans and draft documents.
We form document bundles
Several documents linked by the specific parameters can be included into a bundle. We form bundles automatically.
Active learning
We can mark one field
in many documents,
which increases the check speed by
2-3 times.

We cover all types of documents

Unstructured

Credit Control of Payment
Contract
Insurance agent application
Clinic and car service reports
E-mails
Power of Attorney
Regulations
Statements
HTML
Complex tables
Provisions

Semi-structured

Statutory documents
Inquiries from the Federal Service for Punishment Execution, the Ministry of Internal Affairs and the Federal Bailiff Service
Certificates
Balance Sheets and Result Statements
Letters of Verification
W-2, W-4, I-9
Tender Specifications
Questionnaires
and more than 50 other forms

Structured

Invoices
Integrated Delivery Note
Act of acceptance
Notes of cost of performed work
Universal Correcting Document
Transfer and Acceptance Act
Passport, Individual Insurance Account Number, Driving License
Vehicle Registration Certificate
Vehicle Certificate of Title

The problem of unstructured data

80% of corporate data is unstructured, according to a Google research, i.e. a computer can't understand it and needs a human to translate it into a format suitable for automation.

The volume of unstructured data is growing exponentially
Manual data translation takes a huge amount of time and money

How DreamDocs helps

Companies can spend less on processing documents, e-mails and speech streams and get a new revenue-boosting tool

50-80%

reduced cost of
processing documents

5-30 times

increased
processing speed

200-300%

increased productivity due to elimination of tedious work

Reduced Risks

We reduce risks by
greater transparency

We help you to earn more with data for quick management decisions

We solve the problem of document management

Tired man extracts data from documents and conducts inter-documentary reconciliations

Sorting

Classification
Splitting into separate documents

Semantic analysis
Extracting data from documents

Understanding

How it works

Business rules verification
Data and document output
via graphical interface

Analysis and collation

Employees' feedback improves AI models
Employees are more motivated with less tedious work

Feedback

Understanding documents

Semantic analysis
Extracting data from
documents

Classification «reakdown into
individual documents

Receiving documents

Employees' feedback improves AI models
Employees are more motivated with less routine work

Receiving

Check the business rules
Showing data and documents on graphical UI

Analysis of documents

Our video

Describe the task

and we will offer a solution

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Contacts

Alexander Korobov,
CBDO
Phone: +7 926 470 37 92
E-mail: korobov@dreamdocs.ru

Alexey Stolbunov,
Development Manager
Phone: +7 913 206 54 54
E-mail: as@dreamdocs.ru
Telegram: @stolbunov