AI Resume Screening by Criteria, Not Keywords

Brainner is an AI-powered recruiting platform that helps talent acquisition teams screen candidates at scale and detect fraudulent applicants before the first interview. It integrates directly with your existing ATS, ranks candidates in real time based on your hiring criteria, and flags high-risk profiles using over 3.5 billion data points and 20+ fraud detection patterns.

Brainner connects to your ATS in less than a minute. Once connected, it runs alongside your existing workflow: candidates continue applying through your ATS job listings or career page as usual, Brainner screens and ranks them in real time, and any decisions made in Brainner (advance or reject) are automatically synced back to your ATS.

It’s additive to your current process, not a replacement. Brainner integrates natively with Greenhouse, Lever, Workday, iCIMS, BambooHR, Workable, JazzHR, Recruitee, SmartRecruiters, Zoho Recruit, and Ashby.

Brainner follows a criteria-driven approach, where recruiters and hiring managers define the hiring requirements before screening begins. As candidates apply, Brainner evaluates each candidate against those requirements and provides transparent justifications for whether each one is met or not.

Recruiters can then navigate the candidate pool using smart filters to quickly identify top applicants and make informed decisions.

Company enrichment automatically pulls information about every company in a candidate’s work history — industry, number of employees, funding stage, and more — so you don’t have to look each one up manually. This data can be used as part of your screening criteria, and it’s also surfaced directly on the candidate’s profile for quick reference.

Yes. Brainner uses a dedicated calculations agent for this, rather than relying on a general-purpose AI model’s math — which can be inaccurate when inferring tenure or experience from unstructured resume data. This ensures those calculations are precise and consistent across every candidate.

Yes. Answers to pre-application questions — salary expectations, visa or work authorization, or any other question you ask candidates — feed directly into the analysis. You can create screening criteria based on those answers, just as you would with information from the resume itself.

Brainner integrates natively with 30+ ATS platforms, including Greenhouse, Lever, Workday, iCIMS, BambooHR, Workable, JazzHR, Recruitee, SmartRecruiters, Zoho Recruit, Bullhorn, Pinpoint, Teamtailor and Ashby. The integration is bidirectional — candidate data flows from your ATS into Brainner for screening, and screening decisions sync automatically back to your ATS.

Don't see yours on the list? Just reach out — we typically build new integrations in under a week.

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Recruiting teams using Brainner can save up to 90% of resume screening time, while reducing time-to-hire by up to 30%.

No. Brainner’s AI evaluates and ranks candidates and flags high-risk profiles, but all decisions are made by the recruiter. The platform surfaces relevant information and signals: advancing or rejecting a candidate always requires human action.

Brainner is designed to support recruiter judgment, not replace it. Candidate evaluations are based solely on job-specific criteria, not on personal attributes such as name, gender, age, or background.

Yes. Brainner is SOC 2 Type II certified and compliant with GDPR, CCPA, the EU AI Act, and other emerging AI regulations. Candidate data is processed under strict security and privacy controls.