Only RK

Price: 1000000

Number of applications: 13

ZEON Module: AI-candidate selection and scoring
Customer

ТОО "Kulenkov Group"
Decision acceptance deadline

05.05.26 (inclusive)

Form of award

tenge

Product status

Idea

Task type

ICT tasks

Сфера применения

Robotics

Область задачи

Intelligent control systems

Type of product

Software/ IS

Problem description

There are a number of system limitations in current HR processes: High HR workload: manual review of a large number of resumes (hundreds/thousands per vacancy); Subjectivity of evaluation: different HR specialists evaluate the same candidates differently; Low processing speed: long time-to-hire; Loss of relevant candidates: strong candidates may be overlooked due to the human factor; Difficulty working with unstructured data: resumes are presented in different formats, languages (RU/KZ/EN), styles; Lack of transparency: it is difficult to explain why the candidate was selected or rejected. Existing solutions either work using simple keyword matching, or are not adapted to local languages and the market, or do not provide explicable results.

Expected effect

Economic effect: Reduced recruitment costs: –30–50% Reduction in vacancy closure time (time-to-hire): –40–70% Technological effect: Development of our own AI candidate scoring model Support for multilingual NLP (RU/KZ/EN) Creation of a scalable AI module with API for integration in CRM/ATS, Operational effect: Reduction of manual resume processing: –60-80% Increase in selection accuracy: +20-30% Increase in transparency due to explicable AI Business effect: Acceleration of scaling of companies due to rapid hiring, the possibility of commercialization of solutions (SaaS / licensing)

Full name of responsible person

Veronika Gaplevskaya

Purpose and description of task (project)

Objective: To develop an intelligent AI candidate selection and scoring system to automate the initial selection process, improve the quality of hiring and reduce the operational burden on HR. Project Description: The project aims to create an AI module that automatically analyzes candidates' resumes, compares them with job requirements, and assigns a scoring (compliance assessment) to each candidate. The system uses natural language processing (NLP) methods, embeddings, and LLM models to: analyze unstructured data (resume, description of experience); extract skills, experience, and key characteristics of a candidate; match with job requirements; and generate explicable AI. The result of the system is a ranked list of candidates with an assessment and explanations, available through the API for integration into CRM/ATS.

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