CoreTier AI
CoreTier AI provides an AI-driven platform that lets companies hire top-tier global engineers as full-time, payroll-ready employees within 72 hours, eliminating international hiring and compliance complexities. The service leverages advanced AI interviews, real-world technical simulations, and performance prediction models to continuously vet and monitor a network of over 10,000 engineers, guaranteeing legal employment and zero compliance risk for distributed product teams.
- HR Technology
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Companies seeking to build distributed engineering teams face significant complexity in sourcing, vetting, and legally employing top talent across international borders. Traditional recruiting and contractor-based approaches fail to deliver full-time, payroll-ready employees with guaranteed quality and compliance, forcing product leaders to navigate fragmented hiring processes and legal risks.
Solution
CoreTier AI provides an AI infrastructure layer for global engineering teams, enabling companies to hire top 1% engineers as full-time employees within 72 hours. The platform uses advanced conversational AI interviews, real-world technical simulations, and machine learning performance prediction models to continuously vet and monitor a network of over 10,000 engineers. CoreTier AI handles all international hiring, compliance, and payroll complexity, ensuring engineers are legally employed and embedded directly into client teams. The service includes a 2-week risk-free trial, a 100% replacement guarantee, and 24/7 AI performance monitoring to remove hiring risk completely.
Target Audience
Primary customers are product and engineering leaders at technology companies seeking to rapidly scale their teams with vetted, full-time global engineering talent without international hiring complexity.
Features
- AI-powered vetting through conversational interviews that evaluate technical depth and communication skills
- Real-world coding challenges and system design simulations to assess practical engineering capability
- ML-based performance prediction models that forecast delivery reliability and quality
- Continuous AI performance monitoring for ongoing quality assurance and delivery tracking
- Skill and performance intelligence matching that pairs clients with engineers based on actual performance data, not resumes
- Global employment structures that ensure legal employment status rather than contractor arrangements