Kafaa Career is an AI-native recruiting platform that transforms job descriptions into structured video interviews, automatically inviting candidates, scoring their responses, and delivering ranked shortlists. The platform supports English and Arabic, runs 24/7 on any device, and includes features like cheating-risk detection and AI-powered follow-up questions with video-timestamped answers. It streamlines the entire hiring pipeline from sourcing to final human review.
- Artificial Intelligence
- HR Technology
- Software Only
Funding
Founders
Product
Problem
Traditional recruiting relies on manual CV sifting, phone screens, and gut-feel evaluations, which are time-consuming, inconsistent, and prone to bias. This slows down hiring and makes it difficult to compare candidates objectively at scale.
Solution
Kafaa Career turns a job description into a structured AI video interview, inviting candidates at scale and scoring every answer across three dimensions: technical accuracy, communication, and confidence. The platform automates sourcing, scheduling, and initial evaluation, then hands the team a ranked shortlist with transcripts, keyword coverage, and risk flags. Recruiters can also ask follow-up questions in plain language and receive answers with links to exact video timestamps, enabling deeper analysis without manual review.
Target Audience
Primary users are recruiters and hiring managers at companies of all sizes who need to screen high volumes of candidates efficiently, particularly those hiring for technical roles like software engineering.
Features
- AI-generated interview questions tailored to the job description
- Multi-dimensional scoring (technical, communication, confidence) weighted into a final score
- Cheating-risk detection and risk flags for each candidate
- Plain-language follow-up questions with answers citing exact video timestamps
- Automated candidate invitations via unique secure links, no logins or scheduling required
- Supports English and Arabic, runs 24/7 on any device
- Keyword extraction and matching, plus strengths and gaps summary for each candidate