The Future of Hiring
Everything Your TA Team Needs to Screen Better and Hire Smarter
How to Detect Fake Applicants Without Slowing Down Your Pipeline
Brainner's two-step approach detects fake applicants without friction: criteria-driven screening + identity verification. Works with your ATS.
Federico Grinblat
Co-founder
The Fairest Approach to Resume Screening with AI
A fairer approach to resume screening: recruiters define criteria, AI ranks resumes against them, and recruiters make the final call on clear data.
Guillermo Gette
Founder
Eliminating Disparate Impact in Resume Screening
How Brainner's AI resume screening helps eliminate disparate impact: it ranks on objective criteria, ignores personal data, and keeps hiring fair.
Federico Grinblat
Co-founder
Aligning Candidate Requirements with Hiring Managers: A Collaborative Approach
Struggling to align with hiring managers on job criteria? See how Brainner turns resume screening into a shared, data-driven process that saves time.
Federico Grinblat
Co-founder
How to Prioritize Resume Screening: The Best Starting Point
FIFO and ATS filters miss great candidates. See how Brainner prioritizes resumes by your criteria and screens 100% of applicants consistently.
Federico Grinblat
Co-founder
Brainner Pilot Program: How to Quickly Test, Implement, and Secure Approval for AI-Driven Resume Screening
Struggling to get approval for new recruiting tools? See how Brainner's Pilot Program helps TA teams test AI resume screening and secure buy-in.
Federico Grinblat
Co-founder
Candidate screening for staffing agencies: how to take on more roles without adding recruiters
How staffing agencies and RPOs screen candidates at scale, hit client SLAs, reuse their candidate database, and flag fraud, all on top of their ATS.
Candidate rediscovery: how to turn qualified past applicants into your next hire
Candidate rediscovery is re-screening past applicants already in your ATS against new open roles. Here is how it works, when to use it, and how to do it safely.
What to look for in a candidate fraud detection tool
What to look for in a candidate fraud detection tool. Brainner flags high-risk candidates before the recruiter reviews them, synced with your ATS.
From AI Resume Screening to Fraud-Aware Hiring
AI resume screening evolved in 2026. See how Brainner combines criteria-based ranking with identity verification in one layer, integrated with your ATS.
What 50+ Fake Candidate Interviews Taught Us
The red flags Brainner documented across 50+ fake candidate interviews. Why detecting fraud at the interview stage is already too late.
How Fraud Detection Works Alongside Your ATS
Brainner integrates with Greenhouse, Workday, Lever, and other ATS platforms to add AI screening and fraud detection. Here's how the integration works.
How to Detect Fake Applicants Without Slowing Down Your Pipeline
Brainner's two-step approach detects fake applicants without friction: criteria-driven screening + identity verification. Works with your ATS.
The 4 Types of Fake Applicants: How to Identify and Detect Each One
There are 4 types of fake applicants: Liars, Fakers, Impostors, and Frontmen. Each poses different risks and requires different detection methods.
Workday AI Resume Screening Integration
Workday is a strong system of record for recruiting. Brainner adds AI resume screening on top, ranking every applicant by fit without replacing your ATS.
How IMO Health Screens Thousands of Healthcare IT Applicants and Catches Fake Ones
IMO Health's TA team screens thousands of healthcare IT applicants per role with Brainner. See how they surface top candidates and catch fakes.