Interview Better & Faster with AI
INTELIIGENT VIDEO INTERVIEW SYSTEM
Leverage AI-powered video interview tool to speedup your screening
process by 4X.
Do you have any of these concerns?
With IVIS , you can fast track your pre-screening and shortlisting process
What is IVIS ?
IVIS is a cutting-edge video recruiting software that uses Generative AI and Explainable AI to pre-screen and shortlist candidates. This helps you identify top talent while ensuring content relevance. Our advanced online video interview platform cuts down on unnecessary pre-interviews, allowing you to focus on what truly matters—your company
Streamline your video interviews in
4 simple steps
Standardize your interview questions
Ensure structured video interviews by combining your best interview questions. Quickly record yourself so candidates get to know you and your company.
Personalize with Avatar Selection
Ensure structured video interviews by combining your best interview questions. Quickly record yourself so candidates get to know you and your company.
Provide an industry-leading interview experience
Ensure structured video interviews by combining your best interview questions. Quickly record yourself so candidates get to know you and your company.
Receive all profiles & detailed candidates insights
Access detailed, AI-generated reports on candidate profiles, watch videos and challenge your first impressions with Al.
Four Strengths of IVIS
Our Explainable AI Approach
With IVIS we create Explainable AI to provide a transparent hiring solution for your company. Our technology assists recruitment teams in identifying top candidates throughout the entire talent acquisition process. With an Explainable AI approach, we emphasize key performance factors of candidates, helping to reduce the risk of biased decision-making.
Evaluate Key Success
Our Explainable AI assesses candidates' performance using key success factors.
Observable features
These observable pieces of information are evaluated by our ML models.
Machine Learning Model
These features serve as data points, combining with machine learning to calculate the final interview score.
