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Transcription of meetings and knowledge base management

Development of solutions for meeting logging and knowledge base management

AI Assistant for business in communications management

  • AI-transcript of meetings 
  • Building a knowledge base from internal communications
  • Centralized and secure data storage
  • Sync with calendars, tasks, and familiar team tools
  • Working in the customer's local infrastructure
  • Customizable AI assistants for company tasks
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5,7%
staff turnover
50+
completed projects
до 28%
budget savings on development

Advantages of the meeting logging and transcription platform

For managers and directors
For managers and directors
  • Automation of communications
  • Arranging meetings and correspondence into a structured knowledge base
  • Secure storage and flexible scaling
  • Analytics on tasks, solutions and effectiveness of team interaction
     

Find out the cost and timing of creating an AI assistant for transcribing and summarizing meetings

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For managers
For managers
  • Access to the content of meetings, correspondence, and internal discussions
  • Reducing the duration of meetings to 40%
  • Automatic recording of agreements 
  • Sammari, protocols and task status in one place


Order an AI assistant for communication management

Test the interface
For engineers and technicians
For engineers and technicians
  • Configuring AI agents for the purposes of different teams and roles
  • Precise transcripts of technical discussions
  • Preserving solutions and arguments for tasks
  • Quick access to meeting history and technical sammari


Develop a knowledge and communication management system

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The cost of developing a meeting transcription and knowledge base management solution

from 3-4 months
from 2500 ₽/hour
projects starting from 1 million rubles.
LighTech The warranty period is 2 weeks
LighTech Comprehensive audit
LighTech The optimal team for the task
LighTech Support and mentoring from experts in related fields
LighTech Transparent process — TK work, reporting, tracking, timing control

The LighTech Team

Project managers
Product managers
DevOps engineers
Architects
Frontend Developers
Backend Developers
Mobile Developers
Flutter-
iOS Developers-Developers
Android Developers
QA Engineers
UX/UI specialists
Scrum Masters
Analysts
Designers
Marketers
Copywriters
Learn more about the team

Tell us
about your project.

And we will offer you the optimal solution based on our experience, create a roadmap for the project and estimate the time and cost of development.
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LighTech

Our advantages

Scrum.org certification
Scrum.org certification

Our team is certified according to international standards Scrum.org . We apply the best practices of agile development to your business.

The Open-Source approach
The Open-Source approach

Active participation in open-source projects allows you to create reliable solutions using proven technologies and keep up with the times. 

The component approach
The component approach

Our solutions are created from ready-made tested components. This speeds up development and scaling, as well as making further support easier.

Worked commands
Worked commands

Our experts with extensive experience in collaboration guarantee efficiency, coherence and quality of the final product.

Experience in BPMS, CRM, and Highload development
Experience in BPMS, CRM, and Highload development

We are not new to complex projects. We have extensive experience in creating BPMS, CRM and high-load systems.

Accredited IT company
Accredited IT company

Proven professional qualifications, reliability and compliance with advanced industry standards.

Technology stack

We will help you create a solution that will meet the needs of your business. Our team uses proven and up-to-date tools, develops digital products for stable and efficient work for many years to come. 

Go
A compiled programming language with a simple syntax, focused on high performance and parallel computing.
Python
A powerful and flexible programming language that provides fast development and high performance. It is ideal for creating complex business logic and processing large amounts of data.
RDBMS
A relational database management system that allows you to store and process data in the form of linked tables
AWS
Amazon cloud platform, which provides a wide range of services for computing, data storage, and application development
Celery
Asynchronous task queue for Python, which allows you to perform deferred operations and distribute the load
Docker
A platform for packaging, distributing, and running applications in isolated containers
Django
High-level Python framework for fast development of secure and scalable web applications
DRF
Django REST Framework, a Django extension for creating APIs with REST architecture support
FastAPI
Modern Python framework for building high-performance APIs with automatic documentation
React
A library for developing interactive user interfaces. Allows you to create fast and scalable web applications with excellent performance.
Angular
A progressive framework for creating dynamic and responsive user interfaces. Guarantees smooth operation of your portal on any devices
Vue
A progressive JavaScript framework for creating user interfaces with a reactive update system
Next.js
React is a framework with support for server-side rendering for creating optimized web applications.
Nuxt
A framework for Vue.js, which simplifies the development of universal and statically generated applications
Dart
An object-oriented programming language from Google used for developing mobile, web, and desktop applications.
Flutter
A powerful framework for fast and efficient development, ideal for creating cross-platform applications. It provides high performance and flexibility, enables efficient implementation of complex business logic, and provides high-quality user interfaces.
Clean Architecture
An architectural approach to software development that focuses on separation of responsibility and independence from external frameworks
Swift
A modern programming language from Apple for developing applications for iOS, macOS and other platforms of the company
Kotlin
A statically typed programming language from JetBrains, compatible with Java, used for developing Android applications and server systems

They trust us.

Bayer
Bronevik
Stabilafonder
X5Group
W
Lean Apps

The stages of developing an AI assistant for recording and analyzing meetings

1

Project planning

We define goals: it can be automating the recording of meetings, reducing the time needed to create protocols, or improving the quality of communications.

2

Designing the user interface

We analyze the customer's work processes: regular meetings, client negotiations, interviews, meetings of development and training teams. 

We form a list of functions such as transcription of conversations, identification of tasks and solutions, recognition of participants. We design the user interface and meeting outcome templates for specific scenarios.

3

Functional development

We implement the following functions: AI-transcription of meetings, noise filtering, speaker recognition, automatic assignment of tasks and solutions. We are adding an AI chat for quick search and interaction with recordings. We provide secure cloud storage with fast data access.

4

Testing the application

We perform automated and manual software testing for performance, functionality, security, and compatibility with different devices.

 
 
5

Release and support

Setting up access rights and security. We provide maintenance, scalability and support.

Why do businesses need AI assistants in meeting automation and logging systems?

AI assistants for business in meeting automation systems help structure information, save time on logging, and capture key decisions and tasks without human intervention.

With these solutions, you can quickly get the results of discussions without losing important details and easily return to the necessary fragments of meetings via an AI chat. Such systems become the basis of the corporate knowledge base: transcripts and transcripts of meetings are automatically added to the knowledge repository, where they are available for search and reuse. 


Basic functions of the AI assistant for Sammari meetings:

  • Automatic transcription and logging of online meetings.
     

  • View meeting results in a structured format.
     

  • Quick access to notes, quotes, and tasks.
     

  • Identify speakers and search by keywords.
     

  • Support for secure connections and cloud storage.
     

  • Configure access rights, roles, and notifications.
     

  • Formation and replenishment of the company's knowledge base based on the meetings held
     

For example, our LighTopic product is a solution for managing corporate memory and automatically logging meetings using AI. The agent connects to video calls, captures key points, solutions, and tasks, generates structured reports, and stores everything in a single knowledge base — with access via Sammari, AI chat, and a simple protocol exchange method.

Frequently Asked questions about developing applications with AI assistants

Why use AI to automate meetings and record meetings?
Who is involved in creating an AI-assisted platform?
Who can use AI-assisted solutions to automate meetings and logging?

What will you get after completing the project

Get artifacts from the project
Open
Scalable code
Scalable code
Documentation
Documentation
Closing documents
Closing documents
The possibility of developing a solution
The possibility of developing a solution
Support
Support

Projects that we have implemented

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