Sherlock

Sherlock is an AI-powered interview integrity platform designed to detect the use of AI-assisted cheating during candidate interviews. It leverages advanced multimodal AI, analyzing visual, auditory, and reasoning aspects of the interview process to identify inconsistencies and potential signs of AI assistance. This sophisticated approach goes beyond simple keyword detection, instead focusing on subtle behavioral cues and patterns that indicate a candidate might be using AI tools to generate answers or otherwise manipulate the interview process. The platform aims to ensure fair and accurate candidate assessments, providing recruiters with greater confidence in their hiring decisions and protecting the integrity of the selection process. By identifying potential AI-assisted cheating early on, Sherlock helps companies avoid costly mistakes associated with hiring unqualified candidates.

Sherlock achieves its goal through a combination of sophisticated algorithms that analyze various data streams from the interview. Visual analysis might detect unusual eye movements or unnatural head positioning, while auditory analysis can identify inconsistencies between a candidate's speech patterns and their claimed knowledge. Reasoning analysis assesses the logical coherence and depth of a candidate's answers, flagging responses that seem overly polished or lack genuine understanding. The platform provides a comprehensive report highlighting potential areas of concern, allowing recruiters to investigate further and make informed decisions. The system is designed to be user-friendly and easily integrated into existing interview workflows, minimizing disruption to the recruitment process.

Key Features:

• Multimodal AI analysis (vision, hearing, reasoning)
• Detection of AI-assisted cheating in interviews
• Subtle behavioral cue analysis
• Comprehensive reporting on potential inconsistencies
• Easy integration with existing interview workflows

Use Cases / Target Audience:

• HR professionals and recruiters
• Hiring managers
• Companies concerned about interview integrity
• Organizations conducting high-stakes interviews
• Educational institutions assessing candidates