AI memory that compounds after every role.
sHRark is not another place to store applicants. It turns candidate data, role context, notes, decisions, and outcomes into reusable ranking signal.
Cross-role and cross-client memory
Upload a candidate once. sHRark can rank them against every eligible role, and in agency work across clients when the data scope allows it.
Full feedback loop
Recruiter notes, manager feedback, stage moves, rejections, and hires change future rankings. Job-ad lessons also feed the next search.
Auditable AI scoring
Azure OpenAI GPT-5.4 produces the base score, then deterministic guards, evidence links, and score history explain why the number changed.
Add candidates. Get ranking. Feed the loop.
Use sHRark as your main ATS or as an AI layer beside your current process. The value is the same: the system learns how you hire.
Set role context
Add the job, must-haves, reference CVs, manager style, and the hidden context that normally stays in calls.
Upload own data
Add CVs or LinkedIn profile PDFs from your own sources. No scraping and no grey enrichment market.
AI ranks and explains
Candidates are ranked across eligible roles with evidence, risks, and questions tied back to source text.
Feedback changes the next ranking
Notes, decisions, outcomes, and job-ad quality signals become memory for the next shortlist.
Share sHRark when it helps. The pilot can grow with you.
The product value still comes first: ranking, memory, and feedback. Referrals are a practical bonus for teams that bring another company into the pilot.
Recommend sHRark to another company
When a referred company is approved for pilot access, your workspace receives 14 extra pilot days.
The reward is applied after approval, not just after a form submit.
Earn from companies that stay
When the program opens, if a referred company moves to a paid plan, you can receive 10% of their monthly plan value as account credit or payout.
Program terms will define eligibility, payout method, and limits.
Referral rewards apply to separate companies, not same-workspace team invites.
See what your existing candidate history can recover.
Create a role, upload up to 50 CVs or LinkedIn profile PDFs, and test the AI memory loop on real recruiting work. After 30 days you decide whether it belongs in your process.
Your first AI ranking
Create a role, upload candidates, and get a ranking with evidence, risks, and suggested questions.
Learning from decisions
Feedback, notes, stage moves, and outcomes update future rankings instead of dying in comments.
Reusable recruiting memory
The next search starts with patterns from the previous one, including job-ad signals and cross-role fits.
Request pilot access
Takes 60 seconds to complete
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