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.
Digitization of archived earthquake data and ensuring their use for predicting earthquake conditions using AI
The immediate purpose of the digitization of archival materials is the formation of a unified systematized database, which includes directly: digitized seismic materials (seismograms recorded on photographic paper and other recorded visualized materials); accompanying materials presented in the form of magazines, cards, bulletins. The implementation of the goals set provides for the fulfillment of a set of tasks: - cataloging and selecting previously digitized seismograms and records of seismic events from the archive of analog seismograms of the "National Scientific Center for Seismological Observations and Research" LLP of the Ministry of Emergency Situations of the Republic of Kazakhstan; - scanning of archived materials; - creation of a database of metadata of seismic stations, which includes the collection and systematization of the main parameters of analog seismic stations (on–site conditions, recording devices and calibration information); - digitization of historical seismograms of seismic events, which involves digitizing selected earthquake seismic records using specialized software; - quality control of digitized archival material; - creation of a database of digitized seismological material. The formation of a database of digitized seismological material ensures the systematization and preservation of historical archival materials, as well as provides an opportunity for their further use in research and practical tasks of seismology. Scanning and preparing images for digitization Scanning of materials to be digitized involves obtaining a high-resolution digital image (at least 600 dpi) in BMP or TIFF format (these formats do not use compression, resulting in loss of original detail and image quality). Also at this stage, images are being prepared for digitization: processing of the obtained images using graphic editors (cropping fragments that are not suitable for digitization, horizontal alignment, stitching fragments, bringing them to a unified display and format) Digitization of the prepared images At this stage, using specialized software, digital images are directly translated into digital data format (the recorded analog seismic signals are converted to the MiniSEED digital format, text recognition and receipt of text files containing the source information) Formation of the metadata database At this stage, the necessary information about the devices used in recording the signals, amplitude-frequency characteristics and recording conditions is collected and recorded (in the accompanying sheets). A metadata database is formed based on the collected and recorded data.
Decision acceptance deadline
08.06.26 (inclusive)
Preferred systems
Цифровизация сейсмологииNumber of applications
13
Automated verification system for portals and services with Telegram notification
Automate the daily health check of the company's services and web portals, including the correct loading of pages with custom scripts.
Decision acceptance deadline
05.06.26 (inclusive)
Preferred systems
Other technological solutionsNumber of applications
12
Development of automation of reconfiguration of IP phones
Implement a mechanism for centralized automatic reconfiguration of IP phones located in different organizations and cities.
Decision acceptance deadline
05.06.26 (inclusive)
Preferred systems
Technologies in telecommunicationsNumber of applications
5
Labor Market Analysis (HR Analytics)
The purpose of the project Development of intelligent HR Analytics, a platform for analyzing the labor market, forecasting personnel needs, and providing business with analytical data for management decision-making. Project Description The project is an analytical system that uses artificial intelligence and big data processing technologies to monitor and analyze the labor market. The system collects and analyzes information from open sources: vacancies, salary ranges, in-demand skills, personnel shortage, dynamics of demand for specialists, regional peculiarities of the labor market. Based on the data obtained, analytical reports, forecasts, and dashboards are generated for HR departments, company executives, and top management. The platform allows companies to make more accurate decisions in the areas of hiring, salary formation, scaling teams, personnel planning, and entering new regions.
Decision acceptance deadline
04.06.26 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
10
AI interviewer (chat / voice)
Development of an AI interviewer to automate the initial stage of candidate selection using artificial intelligence technologies, speech processing and intelligent communication analysis. Project Description The project is an intelligent system for conducting initial interviews with candidates in text and voice format. The AI interviewer allows you to automate the preliminary HR screening, reduce the burden on HR specialists and speed up the processing of a large number of candidates. The system conducts a dialogue with the candidate, asks questions, analyzes the answers, clarifies the details in real time and generates a structured report for the HR department. The interview can take place: in the chatbot format; in the format of a voice interview; in mixed mode.
Decision acceptance deadline
04.06.26 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
14
Automation of the recruitment funnel (ATS inside Zeon)
Development of an intelligent ATS system (Applicanttracking System) within the Zeon ecosystem to automate the full cycle of hiring employees using artificial intelligence, analytics and digital management of HR processes. Project Description The project is an AI platform for automating recruitment processes, candidate management, and hiring performance analytics. The system will allow companies to: centrally manage the recruitment funnel; automate the movement of candidates by stages; monitor the processing time; receive AI recommendations on candidates; accelerate communication between HR, supervisors, and job seekers; analyze the effectiveness of recruiting in real time. The ATS system will become a single digital space for managing recruitment, from receiving feedback to getting an employee to work.
Decision acceptance deadline
04.06.26 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
8
AI-job generation and requirements
The project is an intelligent HR system that uses artificial intelligence technologies to automatically create vacancies, requirements for candidates, and adapt content to various placement platforms. The system allows HR specialists and managers to create professional vacancies based on a brief brief without the need for manual writing of texts. The AI module analyzes: position, field of activity, specialist level, technology stack, business requirements, labor market, and automatically generates: job description, responsibilities, requirements, employee grades, adapted versions of vacancies for various platforms. Additionally, the system analyzes the effectiveness of vacancies, conducts A/B testing and offers recommendations for improving the conversion rate of responses.
Decision acceptance deadline
04.06.26 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
10
A system for assessing the integrity of financial obligations
Development of a digital B2B platform for assessing the integrity and reliability of legal entities in Kazakhstan based on the fulfillment of financial obligations to other companies. The platform will generate an independent rating of companies (B2B Trust Score) using: payment discipline; confirmed commercial transactions; counterparty reviews; business activity analysis. The purpose of the project: to assess the reliability of counterparties before concluding transactions; reduce the risks of non-payment and fraud; to receive objective information about the business reputation of companies; Accelerate decision-making in sales, procurement, and partnerships; to increase the transparency and security of commercial relations between legal entities.
Decision acceptance deadline
01.06.26 (inclusive)
Preferred systems
Other technological solutionsNumber of applications
11
Platform for digitalization and automation of small businesses ./dot
Development of a universal digital platform for small and medium-sized businesses that combines the tools of online participation, automation of customer applications, digital branding and interaction with customers. The project aims to facilitate business start-up and scaling through state-of-the-art web technologies, integration and automated services.
Decision acceptance deadline
01.06.26 (inclusive)
Preferred systems
IT / Digital / Automation / SaaSNumber of applications
13
Development of the loyalty program platform with cryptocurrency rewards — Stage 1: browser extension, website with partner catalog and user's personal account
THE PURPOSE OF THE PROJECT Creation of the first stage of a consumer fintech platform for participation in a loyalty program with automatic accrual of rewards in digital assets for online purchases from program partners. The platform is implemented within the framework of a special regulation regime for operations with digital assets of the National Bank of the Republic of Kazakhstan (Resolution of the Board of the National Bank of the Republic of Kazakhstan No. 42 dated 07/25/2025) for a period of 5 years. ""WTS—Technology" LLP (BIN 240240020496), a resident of the international technopark of IT startups "Astana Hub", is the customer. TASK DESCRIPTION It is required to develop three interrelated software components: 1) BROWSER EXTENSION (Chrome Manifest V3, Firefox, Edge, Safari) — works according to the affiliate-cashback browser extension model. Activates affiliate links when visiting partner sites, and shows popup notifications about the availability of rewards. Minimum browser permissions, without reading the contents of the pages. 2) The PARTNER CATALOG WEBSITE is a public showcase of the loyalty program. Adaptive landing page, online partner catalog with filters and search, partner pages with terms, help sections, FAQ, program terms. 3) The USER'S PERSONAL ACCOUNT is available after registration and mandatory KYC via an IIN through a local aggregator provider (Verigram, Documentolog, Smart ID or equivalent). It includes the balance, transaction history, withdrawal of accumulated remuneration to the user's external crypto wallet, referral program, and support. THE PHASING OF THE PROJECT Stage 1 (subject of this TOR, deadline 07/01/2026): extension, website, personal account, KYC. Stage 2 (Future): Cross-platform iOS + Android mobile app. Stage 3 (future): Integration with international payment providers (details under NDA). The architecture and documentation of Stage 1 should ensure further development without rewriting the core logic. The executor of Stage 1 is not obligated to participate in Stages 2-3. Therefore, the transferability of work and the quality of documentation are critical acceptance requirements. REQUIREMENTS FOR THE CONTRACTOR — Proven experience in developing fintech applications (from 2 completed projects) — Experience in developing browser extensions with publication in the Chrome Web Store, Firefox Add-ons, Edge Add-ons — Experience in integration with local KYC providers in Kazakhstan — Knowledge of the Law of the Republic of Kazakhstan "On Personal Data and their protection" and compliance requirements of the National Bank of the Republic of Kazakhstan — Willingness to sign an NDA before disclosing project details — Posting data of citizens of the Republic of Kazakhstan on the territory of Kazakhstan — Ready for a 2-week post-release handover period — A team of 3 people (tech lead, backend, frontend) METHODOLOGY — Sprint duration: 2 weeks (about 4 sprints before release) — Demos at the end of each sprint — Weekly synchronizations with the customer's team — Transparent planning through the project management tool — Test coverage of at least 70% — External security audit and pentest before production release INTEGRATION DOCUMENTATION The documentation on integrations with KYC providers, reward partner networks, and payment infrastructure has been prepared by the customer. It is disclosed to the contractor after signing the NDA.
Decision acceptance deadline
01.06.26 (inclusive)
Preferred systems
Distributed Registry systems/BlockchainNumber of applications
6
