The Engine
Behind
Intelligent
Hiring
Discover how our Agentic AI and GitHub Verification engine transform manual screening into a precision-engineered automated workflow.
USED BY TEAMS TO VERIFY TECHNICAL SKILLS BEFORE HIRING
1. Agentic AI Resume Parsing
Beyond keyword matching: True semantic understanding.
Raw Input View
John Doe - Full Stack Developer
Experience: 5 years working with React, Node.js, and Cloud Infrastructure. Managed a team of 4 at TechCorp. Responsible for core API architecture.
Skills: JavaScript, TypeScript, AWS, Docker, GraphQL...
Smart-Parsed JSON View
"leadership_score": 0.88,
"mentorship_detected": true,
"complexity_analysis": {
"api_architecture": "Expert",
"cloud_native": "Advanced",
"impact_metrics": "High (Team Management)"
}
2. GitHub Verification Engine
We don't just trust the resume. Our engine audits public contributions to verify skill depth, coding standards, and project impact.
Contribution Consistency
Analysis of activity over last 12 months
Language Ecosystem
Claimed "Advanced TypeScript" is confirmed by high PR merge rate in complex type-safe repositories.
Manual Screening vs. RecruiteAI
The 10x multiplier for your technical talent acquisition.
| Features | Manual Process | RecruiteAI Agents |
|---|---|---|
| Screening Time | 20-30 mins / candidate | 15 seconds |
| Verification Method | Self-reported claims only | GitHub/Social Proof Audit |
| Contextual Awareness | Static keyword matching | Agentic Semantic Insight |
| Bias Protection | High (Subjective) | Blind Technical Scoring |
Ready to deploy your AI Recruiter?
Integrate the most advanced technical vetting engine into your existing ATS workflow today. Hire based on proof, not promises.