"We're not adding more noise to the hiring process, we're removing it."

Research & Insights

Explore research and studies on recruiting, AI, and candidate experience. As we operate our LLM we will publish more findings detailing how well it performs with consistent use. Here is some anecdotal research and Forbes Articles discussing AI-led recruiting.

Published Research & Reports

Insights and findings from our journey building AI-powered recruiting tools

Company Research•October 2025•5 min read

The Viability of AI-Powered Campus Recruiting: Early Results

By CacheAI Research Team

5,000+
Interested Users
1,500+
Active Beta Testers
1,500+
Internship Applications
1
Pilot Program
50,000+
Platform Impressions

In 2025, over 40% of all recent college graduates are working in jobs that don't even require a degree. With approximately 100,000 CS students graduating annually, this means 40,000 talented individuals face underemployment.

We've built a 8-member team, partnered with universities like Stevens Institute of Technology, and launched international pilot programs. Our platform has already attracted 5,000 interested users and 1,500 active beta testers who are shaping the future of campus recruiting.

The gap between recruiter knowledge and candidate ability has never been wider. Career centers rely on outdated resume templates that can't reflect real candidate ability. We're bridging this gap with AI-driven matchmaking between recruiter needs and candidate skills.

Industry Analysis•8 min read

AI vs. Traditional Recruiting: A Comparative Analysis

By CacheAI Research Team

Coming Soon
User Research•6 min read

The Future of Campus Recruitment: Insights from 1,500 Beta Testers

By CacheAI Research Team

Coming Soon

Research & External Resources

Employer Research

We have talked to various businesses to understand early-career sourcing, recruiting, and hiring. Early-career recruiting is incredibly difficult as new candidates often require massive training resources. Legacy solutions like AI-led interviews or quizzes exist but are often inefficient. Our LLM-based solution matches candidates at scale without these costly processes.

Candidate Research

Candidates spend up to five months on average to find employment after college. CacheAi aims to reduce this to one month or less by directly matching top candidates with roles, showing all relevant projects, skills, and credentials.

AI in Recruiting

Research on the effectiveness of AI in candidate selection.

AI-Powered Hiring

Studies showing how AI can reduce time cost to hire.