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CorpSoft24: Service for decoding meetings on the basis of the neural network

Product
The name of the base system (platform): Artificial intelligence (AI, Artificial intelligence, AI)
Developers: Corp Soft (CorpSoft24)
Date of the premiere of the system: 2024/02/029
Last Release Date: 2025/02/19
Technology: SaaS - Software as a Service,  Voice Technology

The main articles are:

2025: Ability to share ready-made transcripts

The company has CorpSoft24 modernized a virtual assistant based on AI technologies designed to decrypt records of online meetings. Now he can not only transcribe the audio recording, but also form short resumes to simplify the work of employees. The company announced this on February 19, 2025.

The service for decrypting records of online meetings was originally developed by CorpSoft24 specialists for the needs of internal departments. It uses Open source a language model adapted for processing audio files on. Russian Since, interacting with each other and with customers, employees can receive and transfer confidential, information neuronet placed in a closed contour of the company, on protected. cloudy servers

The first version of the service was released in early 2024 and was operated in test mode. In February 2025, the solution was modernized and acquired the function of preparing a brief summary of the meeting.

The model supports text preparation in three formats corresponding to the most popular types of online meetings:

  • format of minutes of the meeting - implies the creation of a summary consisting of such sections as the agenda of the meeting, decisions made, appointment of tasks, responsible and deadlines;
  • interview format - designed to discuss project details with customers: the neural network highlights problems, requirements and other important details from the text of the conversation;
  • speech format - used to create a webinar summary, presentation or any other online event with the participation of one or more speakers.

The company also released a number of additional features of the service:

  • the ability to share ready-made decryptions. This will allow, for example, the employee who made the decryption to quickly send a link to her colleagues so that they do not have to do the same work again;
  • grouping of decryptions by folders. With this feature, users will be able to structure text archives of meetings held to better navigate the large volume of records;
  • assigning tags (keywords) to decrypts to facilitate search. They can be added when creating a record, at the transcribing stage or after it.

In connection with the modernization of the service, its appearance has also changed. Users will have access to a basic version with a simpler interface only for transcribing the formation of resumes and a more functional extended version for working with archives and exchanging records.

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Often, after a meeting or business meeting, employees need to remember all the important points of negotiations, highlight the main points. A brief summary allows you to satisfy this request or prepare a base for a full-fledged protocol. We continue to develop the solution, collect feedback from colleagues, discuss the possibilities of improvements. It is important that our system is universal: if necessary, any language model, external or internal can be applied to it, - comments Ivan Bolgar, CorpSoft24 Development Director.
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The CorpSoft24 predicts that in the future, a secure cloud service for transcribing meeting records will be in demand on the foreign market: first of all, in departments engaged in project activities, client service, sales and security. The company is considering providing it according to the cloud model or deploying it at the customer's facilities.

2024: Cloud Service Development Begins

CorpSoft24 has begun developing its own cloud service for transcribing meeting records. In February 2024, the service is being tested internally, and the neural network is undergoing a training stage: upon completion, the service will become available to customers in a secure CorpSoft24 cloud. The company announced this on February 29, 2024.

Services based on neural networks are rapidly developing: in business, for example, they are already actively used in marketing and advertising. However, most mass neural networks like ChatGPT and its Russian counterparts operate on the basis of public services, which often does not meet business requirements for data security and protection.

The difference between the service for transcribing meeting records, which the CorpSoft24 developers are working on, is that it will be located on the basis of the company's secure cloud servers and at the same time will be completely Russian.

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The idea of ​ ​ creating a service was born from our internal needs: there were often situations when it was necessary to revise the recording of a meeting or negotiations with customers and find an important point in it. However, spending hours listening to meeting recordings is simply ineffective, so we decided to entrust this task to the neural network, "explained Ivan Bolgar, director of CorpSoft24 development.
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The service is already ready and undergoing internal testing in CorpSoft24, neural network training will take several months. Transcription of records at the first stage will be carried out in solid text, without breaking down into roles.

In the future, the company will add additional functions: splitting into roles, the ability to go from transcription immediately to the desired video recording fragment, special dictionaries that will allow you to more accurately recognize the speech that sounds in business negotiations, and much more. In addition, as the service develops, you can get a brief summary of the meeting.

The CorpSoft24 believes that the cloud service for transcribing meeting records will be useful in the work of commercial services, client service and sales services, as well as internal security services that monitor the activities of employees. The location of the service in the Russian cloud will make the service available to a large number of companies with increased requirements for the security of information infrastructure.