Don’t drown in noise. Say hello to a
qualified pipeline
of candidates.
How it works
Puck builds an automated talent pipeline of prospective, qualified candidates that match the requirements of your job description. By leveraging what Puck knows about the role and the latest information from the candidate, Puck is able to deliver accountable AI that helps you find the best candidates from your pool of applicants.
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Why Teams Choose
Puck
Filter through the noise
In today’s AI-heavy recruiting world, there is more candidate noise than ever. Puck helps surface the people who are the best fit for your open roles. Find the right people fast, so you can bring on the best talent with time to spare. Puck leverages insights about your organization to fill your open roles with qualified, engaged candidates with transparent matching criteria.
Accountable AI to find candidates
Puck uses machine learning to understand your role requirements and surface the right candidates and prospects that match those details. Puck’s candidate matching puts you in control by scoring candidates transparently, saving you time so you can screen entire pipelines before your best candidates have accepted other roles.
More insight on the candidate
Have confidence while reviewing your candidates, by finding the most recent candidate information with Puck. Puck pulls the latest experience and qualifications to give you a complete summary about a candidate. With the freshest data, you can make better decisions quicker, filling open roles in record time.
How it Compares
Puck is the only software that helps you produce content to engage prospects, enriches your candidates' profiles, and smartly matches candidates with your open roles based on everything that makes your teams unique. Puck brings a magnet to your haystack, attracting all the needles to the top of your pipeline.
FAQ
How does candidate matching work?
Puck builds a skills rubric specific to your organization — a structured framework for how your company evaluates talent. Candidate matching ranks your inbound applicants against that rubric and surfaces the strongest fits, so recruiters know where to spend their time first.
Does the AI reject candidates?
No. Puck never makes hiring decisions. Candidate matching prioritizes your queue — every candidate remains visible, and recruiters make all decisions. This also eliminates the compliance risk that comes with tools that auto-score or auto-reject.
Where do the candidates come from?
Your existing pipeline. Puck syncs inbound applicants from your ATS — Greenhouse, Lever, Ashby, and others — and ranks them as they arrive.
How is this different from resume screening software?
Most resume screeners filter on keywords. Puck ranks candidates against your organization's own skills rubric — the same framework that powers our AI Recruiter interviews — so prioritization reflects how your team actually evaluates talent, not keyword density.
Does ranking candidates introduce bias?
The rubric is structured and consistent, which means every candidate is evaluated against the same criteria rather than gut feel. And because humans review every candidate and make every decision, there's no automated decision-making in the process.
Does it work with AI Recruiter?
Yes. They share the same skills rubric — matching prioritizes who to screen, and AI Recruiter handles the screening. Together they take a candidate from application to structured phone screen without scheduling bottlenecks.
