May 05: Equip, an AI-driven hiring platform used by over 850 companies, has launched a candidate-recruiter marketplace, as companies grapple with rising inefficiencies in hiring driven by AI-generated candidate applications.
The move marks Equip’s expansion from an assessment and shortlisting platform into a discovery layer for hiring, where candidates are pre-evaluated and ranked before being surfaced to recruiters.
The launch comes amid a broader shift in hiring dynamics. With AI tools making it easier to apply for jobs at scale, companies are seeing a surge in application volumes without a corresponding improvement in candidate quality, increasing the time and effort required to identify relevant talent.
Equip said companies using its platform have reported an 80% reduction in hiring cycle time, driven by early-stage filtering and skill evaluations of candidates. The platform has evaluated over 300,000 candidates to date through its AI-led interview and assessment engine.
Unlike traditional job platforms that rely on self-reported resumes, Equip standardises candidate and job data into structured fields such as skills, experience, compensation, notice period, and education. This enables recruiters to filter and rank candidates more efficiently.
The company has also made salary disclosure mandatory for both employers and candidates on its platform, a move it says reduces misalignment and drop-offs during the hiring process.
“Hiring today is constrained by poor data quality. Recruiters are making decisions on inconsistent and incomplete information,” said Jayanth Neelakanta, founder of Equip. “By structuring and evaluating candidates upfront, we are reducing the time spent on discovery and improving the quality of matches.”
Candidates on the platform are ranked using a Job Fit Score that factors in skill evaluation performance, experience, compensation expectations, and other attributes. Equip helps candidates by giving them detailed feedback on their skill evaluations – what they did well, where they could improve, etc. It also suggests salary expectations based on salaries successful hires have sought.
Equip said it has seen a 15% conversion rate from shortlist to hire, indicating higher alignment between candidates and employers compared to traditional sourcing methods.
The company is also leveraging data from its network of employers to provide market insights on skills demand, compensation benchmarks, and hiring trends across roles and geographies.
As hiring volumes continue to rise, platforms that improve signal quality and reduce decision time are expected to play a larger role in recruitment workflows.
