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.
Refinement of the IDEAWA mobile AI application backend: query processing architecture, recommendations, external APIs and AI integration
To develop and stabilize the IDEAWA backend pipeline, which provides a full cycle of user request processing: message → save → queue → intent definition → constraints formation → source selection → external data acquisition → normalization → filtering → ranking → AI context formation → AI challenge → validation → save → delivery to the client. The system must be: fault-tolerant; idempotent; scalable; deterministic in business logic; suitable for the subsequent expansion of the number of categories and data sources.
Decision acceptance deadline
30.09.26 (inclusive)
Preferred systems
Processing and storage of Big DataNumber of applications
10
Refinement of the frontend mobile application IDEAWA
Get a stable version of frontend IDEAWA for iOS and Android, corresponding to the existing design layouts and technical specifications, without critical UI/UX errors. We are working with an existing application and an existing backend. Full application development from scratch is not required.
Decision acceptance deadline
30.09.26 (inclusive)
Preferred systems
Processing and storage of Big DataNumber of applications
8
OCR on hosting
A task for the community: local OCR of PDF scans (RU/KK) instead of Gemini What is it about In our service (verification of packages of documents for the state text is extracted from the downloaded PDF files for further analysis. Most files have a text layer and are parsed locally. But some of them come in scans without a text layer — they are now recognized by the cloud-based Google Gemini 2.5 Flash. We want to get away from the cloud and do it locally, on our hosting. What needs to be done A module that accepts a PDF scan and returns the extracted text (plain text, UTF-8), verbatim and in the correct reading order. It should work offline, without external APIs. Important caveat on the type of documents This is not the recognition of passports, identification cards, complex forms or manuscripts. Scans are ordinary printed text documents: charters, certificates, contracts, business plans, letters. That is: mostly solid printed text, 1 column; machine font (not a manuscript); there may be simple tables, a stamp/signature at the bottom — but this is not the main content. This greatly simplifies the task: you don't need the "intelligence" of the multimodal LLM level for complex layout — you need reliable OCR of printed RU/KK text. Specificity Languages: Russian + Kazakh (ә ғ қ ң ө))))), sometimes in the same document. Quality: scans of different quality (distortion, noise, DPI 150-300). Critical: numbers, amounts, BIN/IIN (12 digits), dates — an error in a digit is unacceptable. Input: PDF up to 15 MB, 1-30 pages. Output: UTF-8 text, top—to-bottom / left-to-right order; tables - line by line. Integration: A PHP module or a local CLI/HTTP service called from PHP (CodeIgniter 4 / PHP 8.2 stack). Allowed stack Everything that is hosted: Tesseract 5 (rus + kaz LSTM), PaddleOCR / EasyOCR, docTR; rasterization of PDF→image (pdftoppm / Ghostscript); preprocessing (OpenCV / ImageMagick: deskew, denoise, binarize). Combinations are welcome. Acceptance criteria Benchmark: we will provide a set of ~150-200 real impersonal PDFs (RU/KK) with a reference text. Metrics: CER / WER vs. benchmark; Field-accuracy for critical fields (BIN, amounts, dates). The goal: accuracy is no worse than Gemini 2.5 Flash on the same set (we will publish its results as a baseline). Performance: less than N seconds per document (to specify the hardware), completely local. The format of the submission Repository with code + README (installation, dependencies, launch). A benchmark run script that outputs CER/WER and field-accuracy. A brief description of the pipeline. Deadline: 01.10.26
Decision acceptance deadline
29.09.26 (inclusive)
Preferred systems
Information processing and transformationNumber of applications
8
Гарантированно не списать деньги дважды без распределённой транзакции
Разработка мобильного приложения с защищённым механизмом проведения финансовых операций, исключающим повторное списание средств при сетевых сбоях, тайм-аутах и повторной отправке запросов. Система должна корректно определять состояние операции даже при отсутствии однозначного ответа от внешнего платёжного провайдера.
Decision acceptance deadline
17.09.26 (inclusive)
Preferred systems
FinTechNumber of applications
3
Pitching of technological solutions in the field of Industry 4.0 at AI & Digital Bridge 2026 with a prize fund of 5 million tenge
Search and selection of technological solutions in the field of Industry 4.0. Participants will have the opportunity to present their digital and AI solutions to large enterprises of the oil and gas and mining industries at the AI & Digital Bridge 2026 site. Reflect in the presentation: the company/team, the problem and its solution, the product description, the target audience, existing analogues and advantages, roadmap, business model and additional important information.
Decision acceptance deadline
21.09.26 (inclusive)
Preferred systems
Цифровизация, автоматизация и ИИ в промышленностиNumber of applications
57
Develop a product and technical concept for a secure IAM/PAM platform
To develop a product concept that shows how an employee logs in with one corporate account, gets only the access allowed to him and connects to servers without manually searching and transmitting server passwords.
Decision acceptance deadline
23.09.26 (inclusive)
Preferred systems
Digital Security TechnologiesNumber of applications
9
Creation of a group of AI assistants for a group of companies to repair GD technicians in a depot
Develop a group of AI-assistants and link them with the platform in enterprises (base of these)
Decision acceptance deadline
21.09.26 (inclusive)
Preferred systems
Neurotechnology and artificial IntelligenceNumber of applications
12
Development and implementation of the "Digital Worker" digital platform
Development and implementation of new scientifically based methods and algorithms using advanced artificial intelligence technologies to automatically assess the condition of staff before starting a shift based on the analysis of biomedical monitoring data and the employee's digital profile to: • Ensure a transparent, anti-fraud and automated medical examination process. • Preventing unacceptable work assignments based on objective medical and behavioral data. • Reducing the risks of occupational injuries and deaths from cardiac and other acute conditions. • Reducing the time required for medical examinations and registration of orders. • Implementation of advanced artificial intelligence technologies based on generative LLM models with RAG architecture, decision-making systems based on AI agents, and predictive analytics based on machine learning (ML).
Decision acceptance deadline
18.09.26 (inclusive)
Preferred systems
Labor protection, industrial safety, environmental protection and production operationsNumber of applications
10
Smart ring analysis for integration with a mobile application
find and qualify 2-3 manufacturers (factory or OEM/ODM brand) of smart rings capable of delivering a pilot batch of 50 pcs and providing an open protocol or SDK sufficient to obtain raw indicators on the Aiutante side without necessarily depending on the vendor's closed application.
Decision acceptance deadline
14.09.26 (inclusive)
Preferred systems
Internet of ThingsNumber of applications
6
Creating a corporate website
LWO invites qualified IT companies to participate in the selection of a contractor for the development of a modern corporate website based on the attached terms of reference.
Decision acceptance deadline
11.09.26 (inclusive)
Preferred systems
Geological research methodsNumber of applications
22
