Reduce time-to-fill by leveraging the power of the past. Identify and re-engage with qualified candidates from your ATS who previously applied and are already familiar with your company.
Build a robust pipeline of qualified talent to reduce time-to-fill and sourcing costs by re-engaging your existing talent pool before posting publicly.
Discover excellent candidates who were passed over, not because they weren't qualified, but because another candidate was a slightly better fit at that moment.
Use distribution analytics to understand how the qualifications of new applicants compare to candidates who have applied to similar roles in the past.
Compare a candidate's qualifications across multiple jobs. Place a well-qualified candidate in the right position by understanding how they score against all of your open jobs.
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Use built-in candidate deep linking to quickly open a candidate’s profile in your ATS, from SquarePeg, when you’re ready to reach out to a rediscovered candidate.
Identify applicants who have provided an invalid phone number or LinkedIn profile, have limited LinkedIn connections, or a recently created LinkedIn despite an extensive work history.
SquarePeg adds AI-powered applicant screening, sourcing, rediscovery, and fraud detection to any ATS. Evaluate candidates with transparent, glass-box scoring you can trust, and only pay for what you use.
As an AI company, SquarePeg gives us a lot of credibility. It has saved us so much time on screening and improved quality of hire.
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SquarePeg adds AI-powered applicant screening, sourcing, rediscovery, and fraud detection to any ATS. Evaluate candidates with transparent, glass-box scoring you can trust, and only pay for what you use.
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