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.
Creation of a universal semantic gateway for automatic harmonization of international banking standards using AGI and Post-Quantum Cryptography.
It is necessary to design and implement a fault-tolerant microservice architecture in Java Spring Boot 4, acting as a single hub for data exchange between heterogeneous financial systems SWIFT, SEPA, SPFS, CIPS, Legacy Mainframes, and Blockchain Networks.
Decision acceptance deadline
(inclusive)
Preferred systems
Технологии цифровой безопасностиNumber of applications
1
Development of Interbank Payment Module (Georgia)
Development and implementation of the BankPayment platform extension for processing interbank payments within the financial system of Georgia
Decision acceptance deadline
(inclusive)
Preferred systems
Information processing and transformationNumber of applications
7
BIMaster
Creating plug-ins for Autodesk Revit to automate operations related to the processing of QL drawings and for subsequent analysis and release of working documentation.
Decision acceptance deadline
(inclusive)
Preferred systems
Information processing and transformationNumber of applications
3
Development of a fault-tolerant query queue management and API load balancing system.
Creating an intermediate layer that controls the flow of outgoing requests to external APIs. The goal is to ensure maximum data update speed without the risk of being blocked by advertising platforms. The system should automatically "slow down" requests if the API limits are exhausted, and put them in a priority queue.
Decision acceptance deadline
(inclusive)
Preferred systems
Other technological solutionsNumber of applications
7
QyzmetKZ
The goal is to create a modern, convenient and scalable digital platform QyzmetKZ, which will become the main tool for fast and reliable search for qualified home craftsmen in the cities of Kazakhstan, providing: • maximum convenience and speed of solving household and repair tasks for customers, • stable and predictable flow of high-quality orders for performers, • a transparent system of feedback, trust and quality control of services. Strategic objectives of the project (1-3 years level) 1. To take a leading position among the services for finding home craftsmen in key regions of Kazakhstan (Almaty, Astana, Shymkent, Karaganda, Turkestan region, etc.) by the end of the 2nd year after launch. 2. Ensure a high level of user trust: the average rating of craftsmen is ≥ 4.6/5, the share of orders with feedback is ≥ 70%, the share of repeat orders is ≥ 35%. 3. Achieve operational self-sufficiency and sustainable monetization (commission on orders / premium subscription for masters / promotion) within 18-24 months after the full launch. 4. Create a two—way ecosystem in which clients receive services quickly and efficiently, and craftsmen receive stable income and professional growth.
Decision acceptance deadline
(inclusive)
Preferred systems
Intelligent control systemsNumber of applications
7
Developing a smart AI assistant that helps you quickly and accurately find the right articles in laws and codes
The goal of the project is to implement an artificial intelligence system for convenient and accurate search of codes and regulatory documents on the service. https://test.tehprof.kz/legal It is planned to develop an AI module that will understand the meaning of the user's request and find relevant articles and legal norms. Expansion of server capacities (RAM, computing resources, GPU) is also required for training and operation of the model. The result is a fast, smart, and convenient legislative search.
Decision acceptance deadline
(inclusive)
Preferred systems
Искусственный интеллектNumber of applications
10
PSI DataHub: a single database of production information
The purpose of the project To develop and implement the PSI DataHub digital platform, which provides centralized storage, management and use of Process Safety Information (PSI) within production, technological and engineering business processes. The platform should form a single source of reliable and up-to-date information, ensure versioning control, transparency of changes, reliable data protection and end-to-end information exchange between departments and systems.
Decision acceptance deadline
(inclusive)
Preferred systems
Processing and storage of Big DataNumber of applications
6
PSI DataHub: единая база данных производственной информации
Проект направлен на разработку программного обеспечения для автоматизации процесса управления изменениями (Management of Change, MOC). Решение должно обеспечить единый цифровой контур планирования, согласования, оценки рисков, утверждения и мониторинга изменений в производственных и инженерных процессах. Разрабатываемая платформа должна обеспечивать: - сквозной цифровой workflow процесса MOC; - регистрацию, согласование и утверждение изменений; - контроль стадий жизненного цикла изменений; - отслеживание статусов, сроков и ответственных лиц; - интеграцию с базой PSI и другими корпоративными системами; - управление доступом и защиту данных; - формирование отчетности и аналитики. Платформа предназначена для повышения прозрачности, управляемости и контролируемости изменений, минимизации рисков и исключения несанкционированных или неполностью оцененных модификаций. Внедрение решения позволит стандартизировать процесс MOC, повысить дисциплину исполнения и обеспечить прослеживаемость всех изменений.
Decision acceptance deadline
(inclusive)
Preferred systems
Processing and storage of Big DataNumber of applications
6
Development of a module for end-to-end financial analytics and real-time reconciliation of advertising expenses.
Creating an automated subsystem that collects financial data from various sources (Facebook Ads, Google Ads, TikTok Ads) and brings them to a single standard. The goal is to eliminate manual data collection in Excel and ensure transparency of spending for the company's financial statements. The system should automatically pull up cost data every 15 minutes and create a unified expense register.
Decision acceptance deadline
(inclusive)
Preferred systems
Intelligent control systemsNumber of applications
8
Intelligent Search
Goal: To develop an AI-based service (LLM + Vision models) for implementing multimodal search functionality and personalized recommendations on the e-commerce finishing materials platform. Description: The system must accept text queries or images as input, conduct a semantic search through the customer's product catalog and generate an expert advice article in real time. The delivery is carried out as an isolated Docker container for deployment in the customer's infrastructure (on-premise).
Decision acceptance deadline
(inclusive)
Preferred systems
Neurotechnology and artificial IntelligenceNumber of applications
7
