Discover how Takamol uses AI to enhance digital platforms, improve service delivery, and support people-first innovations in the labor market.
Our AI philosophy
A high volume of repetitive questions overwhelmed Qiwa support channels.
We introduced an AI-powered chatbot that uses natural language processing (NLP) to instantly respond to user inquiries.
Manually linking occupations to relevant activities was time-consuming and prone to errors or misuse.
An AI engine was developed and implemented to automatically map occupations to standardized activities, and to flag irregularities and potential fraud.
Unpredictable arrival times of laborers created planning inefficiencies for employers.
A predictive model was developed to analyze historical data and accurately forecast laborer arrival timelines.
Language barriers and subjective assessments hindered labor selection.
A virtual interview tool powered by AI was launched to simulate interviews, analyze responses and deliver real-time insights.
Manual CV screening was slow, inconsistent, and time-intensive.
We developed a Smart CV Parser that automatically extracts, ranks, and matches candidate data to job criteria in real-time.
Users often struggled to find relevant job postings quickly.
An AI recommendation engine that personalizes job listings based on users’ profiles, skills, and behavior.
Ensuring high-quality, standardized translations for national test content at scale.
An AI-driven engine was developed to translate and align assessment content with national testing frameworks efficiently and at scale.
Language barriers restricted international donor engagement.
We used AI to automatically translate and enrich donation opportunity content, ensuring clarity and cultural relevance for global audiences.
Many users faced uncertainty navigating career options and required tailored guidance to make informed choices.
We developed “Career Forest,” an AI tool that guides users through personalized career paths aligned with market demand and individual skills.