SquarePeg searches everyone who has applied to your company for the people who fit a new opening, then scores them on the job's criteria right alongside today's applicants.
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.
Rediscovered candidates get the same criteria, eligibility rules and evidence-backed scores as applicants, so you can see at a glance whether your past pipeline beats your new one.
Ask the SquarePeg agent in plain language, like "past finalists for senior backend roles in New York", and get a ranked list of past candidates with the reasons behind each one.
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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.
Recruiting teams use SquarePeg to spend their time on the right applicants, catch fake candidates early and get more out of the ATS they already pay for.
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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Connect your ATS and SquarePeg scores your applicants, flags suspicious candidates, resurfaces past applicants and finds new ones, with the evidence behind every score. Credits work across every feature, there are no seat fees, and rescoring is always free.
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