Brainner

Brainner helps talent acquisition teams screen candidates at scale and detect fraudulent applicants before the first interview. It extracts criteria from job descriptions, lets recruiters customize and classify them as mandatory or preferred, ranks candidates with justifications, and syncs advance, archive, or hold decisions back to the connected ATS. The website states that fraud checks draw on over 3.5 billion data points and 20+ fraud patterns, that recruiters retain decision-making control, and that the platform is SOC 2 Type II certified and GDPR and CCPA compliant.

Key features

• Extracts key screening criteria from job descriptions and recommends mandatory, preferred, or neutral classifications
• Allows recruiters to modify, delete, or add criteria and classify them as mandatory or preferred
• Real-time candidate ranking based on alignment with role criteria, with justifications for each assessment point
• Detailed candidate reports and smart filters for navigating ranked lists
• Fraud detection flagging high-risk applicants before recruiter review, with bulk rejection options
• Identity verification across public and proprietary data sources
• Individual or bulk advance, archive, or hold decisions synced to the ATS
• Native integrations with 30+ ATS platforms, including Greenhouse, Lever, Workday, and Ashby
• Bidirectional ATS data flow for screening and decision syncing
• SOC 2 Type II certified, GDPR and CCPA compliant

Best suited for

• Talent acquisition teams handling high application volumes
• Recruiters and hiring managers screening candidates against defined criteria
• Staffing agencies and large enterprises or RPOs seeking to reduce resume review time
• Organizations concerned about fake or fraudulent job applicants

Pricing

Not stated on the website