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What is Brainner?
Brainner is an AI-powered recruiting platform designed to streamline the candidate screening process and detect fraudulent applicants before interviews. Developed for talent acquisition teams, it integrates seamlessly with existing applicant tracking systems (ATS) such as Greenhouse, Lever, and Workday, allowing recruiters to maintain their current workflows. Brainner uses advanced AI to extract and analyze key job criteria from descriptions, rank candidates in real time based on alignment with these criteria, and flag high-risk profiles using over 3.5 billion data points and 20+ fraud detection patterns. This tool helps organizations save significant time by focusing on top applicants and reducing the risk of hiring fraudulent candidates. It is suitable for large enterprises, recruitment process outsourcing (RPO) firms, startups, and HR professionals seeking to improve hiring efficiency and security.
AI Tool Review Summary
4.7/5
Accurate, transparent, and actionable
Intuitive and ATS-integrated
To automate candidate screening and fraud detection for faster, safer hiring decisions.
Integrates natively with major ATS platforms to fit seamlessly into existing recruitment workflows.
Subscription-based with tiered plans tailored to organizational needs.
Features
Features with the highest value for users are highlighted here.
Real-time resume screening
Fraud detection with 20+ patterns
ATS integration and synchronization
Customizable screening criteria
Candidate ranking with justifications
Bulk candidate decision management
Compliance with GDPR and SOC 2 Type II
Human-based AI evaluation
Who Is It For?
Enterprise HR Teams
Recruitment Process Outsourcing (RPO)
Startup Founders
Talent Acquisition Managers
HR Tech Integrators
Compliance Officers
Small Business Owners
Hiring Managers
Fraud Prevention Specialists
HR Analysts
Pricing
Starter
Basic candidate screening Fraud detection alerts ATS integration Email support
Pro
Advanced screening criteria customization Priority fraud detection Bulk candidate actions Dedicated support
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Pros & Cons
Pros
Significantly reduces time spent on initial resume reviews. Effectively detects fraudulent candidates to reduce hiring risk.
Cons
May require initial setup to tailor criteria for specific roles. Fraud detection depends on available data sources and patterns.
FAQs
Just Launched
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