Candidate Screening - AI-Powered Hiring & Assessment Platform

This system automates candidate evaluation through AI-driven video interviews and pre-built assessments

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This system automates candidate evaluation through AI-driven video interviews and pre-built assessments. The system processes applicant responses in real time, delivering instant scoring without manual reviewer intervention. Companies can paste job board links from Indeed or LinkedIn directly into the interface, and the AI vetting engine analyzes applicants against those specific requirements.

The technical architecture supports three response formats: video recordings, text submissions, and multiple choice selections. An AI assistant pre-screens these responses before human review, applying customizable criteria that hiring teams define upfront. The scoring mechanism uses goal-based algorithms that map individual skills to performance indicators, generating predictive success scores for each candidate. Teams can adjust skill weighting to prioritize certain competencies over others depending on role requirements.

The system includes over a hundred assessment tests spanning personality traits and professional skills. These tests feed into a built-in applicant tracking system that handles candidate notifications automatically. Teams access shared scorecards with granular permission controls, allowing different stakeholders to review specific portions of candidate data. The tagging system lets multiple reviewers annotate applications, creating feedback loops that inform historical analysis over time.

Integration happens through open APIs that connect to Greenhouse, Workday, monday.com, and dozens of other ATS solutions. The system supports white-label deployment, meaning other hiring platforms use this technology under their own branding. This architecture explains how the company positions itself as a backend provider for multiple customer-facing brands.

Video retention policies vary substantially by subscription tier. The Starter plan at 139 dollars monthly includes 15 interviews with 30-day video storage. SME tier costs 349 dollars monthly for 50 interviews and 60-day retention. Business plan runs 629 dollars monthly with 150 interviews and 90-day storage. The Unlimited plan costs 2099 dollars monthly with no interview caps and 180-day video retention. All tiers include AI test validation, custom branding, advanced analytics, ATS integration, corporate domain support, and premium support access.

The company reports usage by over 1000 businesses and claims hiring process acceleration up to 70 percent. They also state employee retention improvements within three months, though the methodology behind these metrics isn't specified.

Technical constraints center on interview volume caps. Even the Business tier stops at 150 monthly interviews, which could bottleneck high-volume recruiting operations. Video storage limits mean older interview data gets purged automatically, potentially losing valuable comparison data for long-term hiring pattern analysis. The Starter plan's 30-day retention window is particularly restrictive for companies with extended hiring cycles.

The system offers global candidate search with time zone matching, useful for distributed teams. Performance mapping between different skill sets helps identify candidates who excel in adjacent competencies, though this requires sufficient historical data to generate meaningful correlations. The system's flexibility comes from customizable rules and open API access, letting technical teams build specialized workflows around the core screening engine. Companies needing unique assessment criteria can configure their own screening parameters rather than relying solely on pre-built tests.