The AI-powered resume reader uses Natural Language Processing (NLP) to understand applications deeply. Instead of just spotting keywords, it grasps how ideas in a candidate's background relate to each other. This smart tool shows the full picture of applicants' abilities, checking how well they match the job needs.

The AI learns and improves over time. As candidates progress through interviews and offers, it updates how they score resumes. With each new applicant, the NLP model gets better at identifying great matches.

Applicants take a quick survey about key job details. The survey asks about work history, salary expectations, start dates, and other important points for the role. You can choose questions suggested by the ATS or add your own to fit your needs.

This early check helps you spot promising candidates right away. You'll see at a glance if they meet the basic job needs. It cuts out early phone calls, making the process faster for you and job seekers alike.

Candidates take a short cognitive test with 9 questions that measure problem-solving abilities, Candidates take a short cognitive test with 9 questions that measure problem-solving abilities, intelligence, and independent learning skills—critical indicators of job success. Each candidate gets a random selection of questions from a pool 100, ensuring fairness and diversity.

This effective ATS feature quickly assesses a candidate's potential, providing objective data to the hiring process. The initial screening stage filters out candidates who score below a certain threshold and highlights top candidates, prioritizing them on the dashboard to save time. Statistically validated results ensure that those in the top 30% demonstrate higher cognitive abilities, enhancing the accuracy and efficiency of identifying the best candidates.

This stage of the hiring process includes an online video interview where candidates record their answers to several HR questions. This enables you to assess their communication abilities, body language, and the content of their responses.

This thorough early-stage assessment offers valuable insights into candidates' interpersonal skills and fit for the role while still incorporating human judgment in the screening process.

To assess specific job-related qualities and skills, you can include a home assignment in the hiring pipeline and integrate external pre-employment assessments (e.g., SHL, Aon), such as comprehensive cognitive tests, technical ability exams, coding challenges, personality questionnaires, and more.

ATS features an all-inclusive dashboard that centralizes all recruitment data, making the hiring process easier to manage.

Once your hiring pipeline is set up, the dashboard shows all applicants, their resumes, and their scores at each stage. Top candidates are automatically highlighted for quick visibility.

This dashboard prioritizes top talent, which is crucial for quick action in a competitive market. You can easily access essential candidate details and use tools for advanced recruitment stages, like scheduling interviews, recording feedback, and contacting candidates through WhatsApp, email, phone, or video call.

AI Recruitment provides customizable workflows tailored to your organization’s needs. You can adjust stages and integrate smoothly with communication tools and calendars.

The system lets you build a personalized hiring pipeline with various stages, such as CV analysis, employer questionnaires, cognitive tests, video interviews, phone interviews, home assignments, and in-person interviews. Each stage can be modified according to the specific requirements of the role and the company, removing the need for external providers.

Based on AI and data insights, the system constantly learns and evolves with each interaction, enhancing efficiency and accuracy in candidate selection over time. Examining semantic relationships within resumes and job descriptions provides a deeper, more thorough assessment of a candidate’s fit beyond simple keyword matching.

As candidates move through the recruitment process, their data, including interviews and job offers, updates the system, refining its understanding and boosting the accuracy of future evaluations. This continuous improvement ensures that ATS becomes increasingly proficient at identifying the best candidates, making the recruitment process more efficient and precise.