DreamDocs (Aperbot) formerly ApRbot

History

2025: Softline announces 51% purchase of DreamDocs

On April 16, 2025, Softline announced plans to sign a framework agreement to acquire a 51% stake in DreamDocs, a company specializing in developing a platform for intelligent document processing. In 2024, the amount of contracts received by DreamDocs exceeded ₽400 million, and the combined forecast for the revenue of the AI direction of SL Soft for 2025 after the completion of the transaction will be more than ₽1 billion with an EBITDA margin of about 35%.

According to SoftLine, the DreamDocs system will be included in a single knowledge management platform as part of AI solutions in the SL Soft circuit and will be integrated with other products of the company: Robin, Polymatica, Preferentum, SOICA and Robovoice. After the integration of DreamDocs, about 50 specialists will join the SL Soft team.

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Фото: Freepik

The DreamDocs platform is designed to automate the processing of any documents. The system recognizes text, extracts key data, classifies, analyzes, verifies and compares documents, provides intelligent search and secure storage of information. DreamDocs is also capable of generating content, such as draft contracts and reports. An AI assistant is built into the platform, which advises employees in a chat on the site or in a corporate messenger.

SL Soft technical director and DreamDocs co-founder Yuri Baburov noted that the DreamDocs solution radically simplifies work with documents of any type, automatically recognizing, classifying and extracting key information from documents - from scans and drawings to digital files and letters. The AI assistant answers any question on the content of documents as well as possible and helps to quickly form a set of extracted information.

SL Soft CEO Alexander Abolmasov stressed that on the basis of AI solutions, the company creates a platform that exceeds the existing analogues on the Russian market in functionality. The integration of DreamDocs with CRM, electronic document management systems, analytics, business process robotization and speech technologies dramatically speeds up and simplifies management decision-making.^[1]

2020

Attracting 5 million rubles

In May 2020, it became known that ApRbot startup raised 5 million rubles based on the results of the Moscow accelerator.

The startup employs seven people in May, but ApRbot continues to grow. The received 5 million rubles will be invested in the expansion of the development team.

We are at the stage of development when it is necessary to pump the functionality of the ApRbot product of the same name, to increase its resistance to large amounts of data, explains ApRbot founder Alexander Abolmasov.

The company plans to conduct the next round of investment in about six months to strengthen the promotion and sales of its product. From the very beginning, the team had to develop its project in a field where there are no ready-made solutions. The market for recognition and analysis of documents in Russia is just emerging. However, there is competition, especially from Western players, notes Alexander Abolmasov.

Our strategy assumes that within six months the ApRbot system will be ready for sales in the English-speaking market, the foundation shares its plans.

Read more.

Agreement with GTLK on ApRbot piloting

In March, ApRbot signed an agreement to pilot its ApRbot product at PJSC State Transport Leasing Company.

10-fold increase in contracts awarded

At the end of February, the volume of concluded contracts ApRbot increased 10 times.

2019: Building a company

In 2019, Alexander Abolmasov and Sergei Kotov joined forces and developed the ApRbot service, which allowed companies to automate the valuation of various assets. The project took part in the accelerator, whose partner was VTB Bank. The credit institution invited the company to develop a product to automate another process. It was necessary to convert documents of different formats into meaningful information, which can then be entered into accounting systems. As a result, a system for recognizing and analyzing documents was created, and ApRbot was developed.

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