Why AI scoring is the next evolution of talent acquisition
Data-led hiring is no longer optional. How Talent Intelligence and explainable AI help hiring teams and candidates understand decisions.
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TigerHire grew from the daily work of recruiters and candidates. We are building a clearer hiring process.
See how it worksFounder & CEO
HR leader turned builder
I led HR teams at growing companies and screened more CVs than I can count. The same pattern kept showing up: recruiters buried in applications, and candidates with no idea where they stood.
The tools were expensive and the matching was manual. TigerHire meets people where they already are. In many markets that is WhatsApp. Elsewhere it is the web. Candidates share a CV and see a clear next step. Recruiters get a shortlist with an explanation.
A score on its own is not enough. Teams need a decision they can explain. That is what we built.
Companies get a clearer shortlist. Candidates get a clearer view of where they stand.
Every score is explainable. Clear explanations help teams and candidates understand how a match is assessed.
Review candidates against the role’s requirements, with supporting evidence for your team to check.
Help teams review applications and help candidates understand how their experience matches a role.
Fast ranking, with the reasoning still visible.
We know what bad hiring feels like, for recruiters and for candidates.
Candidates can use WhatsApp where that fits. Teams work in the browser, on one record.
Problem identified. Research begins.
First Talent Intelligence prototype tested internally.
ATS, pipeline, and WhatsApp hiring flows built.
Talent Intelligence System launched — three-layer scoring with verdicts, ideal profiles, and market intelligence.
Pilot deployments with hiring teams.
Public launch.
Regional go-to-market expansion.
TigerHire helps teams agree on job requirements, review candidates with supporting evidence, and manage applications through to an offer. Candidates can explore jobs, compare their CV with a role and prepare an application.
Your hiring manager approves the criteria before scoring begins. FitScore shows how closely a CV matches those criteria. Candidate profile comparisons and market comparisons add context when enough data is available.
TigerHire uses 121 role templates across 20 industries and 492 weighted criteria. AI adapts the criteria to each job description, and your hiring manager approves them before scoring begins.
Labels such as Strong Hire, Safe Hire, Hidden Gem, Niche Talent, or Pass — from FitScore, ideal match, and market position when enough data exists. While percentiles are still building, you may see Good Fit or Moderate. Each comes with a short explanation.
Yes. Agree on the criteria with your client, compare candidates against them and use the supporting evidence to explain your shortlist.
For companies looking for the right people, and candidates looking for the right role.
Practical thinking on hiring at scale — talent intelligence, explainable scoring, and workflows that work across markets.
Data-led hiring is no longer optional. How Talent Intelligence and explainable AI help hiring teams and candidates understand decisions.
Read articleReal numbers from an HR leader who lived the problem. What actually moves the needle on hiring speed and quality.
We ran 500 profiles through FitScore. Here's what we found about skills match, experience signals, and where candidates get stuck.
Want specific hiring playbooks for your team? Reach out and we'll share relevant resources and product walkthroughs.