Technological tasks

The Tech-tasks module is tasks related to the development, implementation and improvement of new technologies, products and processes. If you have development, implementation and other needs you can post information below.

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859 tasks

Automation of the orphan drug delivery and control process

Разработать и внедрить решение в 1С:Предприятие для автоматизации процессов учёта, выдачи и контроля орфанных препаратов. Система должна обеспечить: • проверку права пациента на получение орфанного препарата через интеграцию с Республиканской базой данных (РДБ); • прозрачность и контроль всех операций; • исключение ошибок и злоупотреблений при учёте

Customer

ТОО Антис-Мед

Decision acceptance deadline

08.10.25 (inclusive)

Preferred systems

Information processing and transformation

Number of applications

4

Configuring Atlassian JIRA

Migration project from Azure DevOps to Jira for a large company

Customer

ТОО «Системная интеграция ИТ»

Decision acceptance deadline

13.10.25 (inclusive)

Preferred systems

Processing and storage of Big Data

Number of applications

1

Development of an AI system for predictive analytics in supply chain management

The system should use machine learning to analyze supply, logistics, and demand data, predicting delays, optimizing routes, and minimizing costs. It includes integration with ERP systems, real-time big data processing, and dashboards for decision-making.

Customer

Digital Tech Solutions

Decision acceptance deadline

13.10.25 (inclusive)

Preferred systems

Neurotechnology and artificial Intelligence

Number of applications

5

Automation of the SMM department

Goal To increase the efficiency of the SMM department by automating routine and analytical processes using an agent-based approach in artificial intelligence, which allows autonomous and adaptive management of the creation, publication and analysis of content on social networks. Task description Use agent-based AI, consisting of several interconnected modules (agents), each of which is responsible for a separate stage of SMM: audience research and segmentation, generation of unique content based on the brand's "tone", automatic planning and publication of posts, as well as monitoring and analysis of engagement and feedback.

Customer

ТОО NYOKA (НИОКА)

Decision acceptance deadline

13.10.25 (inclusive)

Preferred systems

Neurotechnology and artificial Intelligence

Number of applications

5

Search for multiple sources of funding for the same patient in the same hospital.

To provide automated search, identification and consolidation of various types of financing (for example, CBMP, CSHI, paid services, corporate insurance) for one patient within one medical institution.

Customer

MRP Project

Decision acceptance deadline

13.10.25 (inclusive)

Preferred systems

Neurotechnology and artificial Intelligence

Number of applications

2

Automation of accounting for loading and unloading container operations

A hardware and software complex for automating the control of loading and unloading operations with containers. Records operations, identifies cargoes (ISO numbers), and tracks the movement of equipment and containers at the terminal in real time. Uses IoT technologies, AI, computer vision and GNSS positioning. Additionally: car surveillance systems, video surveillance, cargo search assistants.

Customer

ТОО Eurotransit

Decision acceptance deadline

30.09.25 (inclusive)

Preferred systems

Technologies in transport and logistics

Number of applications

8

Pitching of technological solutions in the field of Industry 4.0 at Digital Bridge 2025 with a prize fund of 6 million tenge

Поиск и отбор технологических решений в сфере Индустрии 4.0. Участники получат возможность презентовать свои цифровые и ИИ-решения перед крупными предприятиями нефтегазовой и горнодобывающей отраслей на площадке Digital Bridge 2025.

Customer

Astana Hub

Decision acceptance deadline

25.09.25 (inclusive)

Preferred systems

Цифровизация, автоматизация и ИИ в промышленности

Number of applications

115

Разработка подсистем для обработки геологической информации с использованием технологий искусственного интеллекта, а также хранения оцифрованных геологических данных. я

The aim of the project is to introduce modern methods of processing geological information based on artificial intelligence (AI) technologies to translate data into a machine-readable format suitable for storage and analysis. The project will also develop a data warehouse and ensure its integration with the subsystem for digitizing geological information. Using computer vision technologies, automate the process of recognizing and digitizing elements of geological maps in horizontal and vertical representations, taking into account the scale and specifics of the designations. • The main directions within the framework of the project are: Development of a subsystem for text recognition (OCR) and computer vision for graphic data; • Development of a subsystem for a unified data model and a repository of digitized geological data. As part of ensuring confidentiality, all project participants will sign Non-Disclosure Agreements. Information that is not classified as secret or confidential is used to perform work related to this Technical Assignment. Data related to current contracts and licenses is not included in the project. The details of the requirements of this Technical Specification are subject to clarification at the research (Discovery) stage as part of the Contract execution. Based on the results of the research stage, changes and additions are possible, which are subject to registration in the form of additional terms of reference and are an integral part of the Terms of Reference.

Customer

ТОО "Бакырчикское горнодобывающее предприятие"

Decision acceptance deadline

29.09.25 (inclusive)

Preferred systems

Geological research methods

Number of applications

8

Design/development/implementation/installation of an automated system

Provision of services for the development of automated control systems in terms of automating the processes of data collection, processing and reporting on the state of the railway infrastructure. The objectives of the work are: 1) Automation of data collection from diagnostic tools. 2) Eliminating manual data entry and transmission to minimize errors and information loss. 3) Integration with existing IS (SAP MRO, Information complex "Info-center"). 4) Creation of a centralized diagnostic data warehouse. 5) Formation of a single repository for all types of diagnostic information with current and historical data. 6) Automation of reporting. Automatic generation of summary, periodic and operational reports based on uploaded data for all levels of management of JSC CPD. 7) formation of routine reporting in automatic mode based on uploaded data

Customer

Акционерное общество "Национальная компания "Қазақстан темір жолы"

Decision acceptance deadline

29.09.25 (inclusive)

Preferred systems

Other technological solutions

Number of applications

8

Выполнение научно-исследовательских и опытно-конструкторских работ по разработке интеллектуальной системы диспетчеризации на рудниках «Жомарт», «Нурказган» и шх.Восточная Сары-Оба Жиландинского рудника ТОО «Корпорация Казахмыс»

Разработка интеллектуальной системы диспетчеризации на рудниках Жомарт, Нурказган и шх.Восточная Сары-Оба Жиландинского рудника ТОО «Корпорация Казахмыс»

Customer

ТОО "Корпорация Казахмыс"

Decision acceptance deadline

26.09.25 (inclusive)

Preferred systems

Industrial Safety

Number of applications

5

Task type

Preferred systems

Field of application

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