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See Smart Sifty In Action
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See Smart Sifty In Action

We have built two models Aurora and Meriden

Both models analyse jobs and score CVs against the same criteria.

They differ in temperament: how they interpret borderline cases.
and How they communicate findings.
You can switch anytime.

  • Aurora built for speed and volume
  • A direct evaluator with an open, possibility-oriented mindset
  • select this model for high volume, quick processing, and surfacing top talent quickly
  • Gives weight to transferable skills and potential
  • Writes concise summaries focused on key takeaways
  • Frames gaps as growth opportunities rather than blockers
  • Meridian A direct evaluator with a methodical, criteria-oriented mindset
Select this model for more detailed candidate reporting where
strong compliance and audit trails are required
  • Holds candidates strictly against stated job requirements
  • Writes detailed summaries with specific evidence and context
  • Frames gaps explicitly, with reasoning and references
Platform Comparison

The key difference between Smart Sifty vs Native ATS AI

Feature Native ATS AI Smart Sifty Advantage
Main Purpose General recruitment support Specialised search & sifting engine Smart Sifty
Processing Speed Moderate 300+ CVs in under 60 seconds Smart Sifty
Dormant Candidate Data Limited activation Strong activation of legacy database Smart Sifty
Bias Mitigation Basic Advanced & auditable Smart Sifty
Training Approach Trained on own ATS data (can reinforce bias) Independent, skills-first models Smart Sifty
Explainability & Compliance Varies Full audit trails, EU AI Act ready Smart Sifty
Integration Built-in Plug-and-play intelligence layer Both
Best Suited For Light daily tasks High-volume hiring & precise shortlisting Smart Sifty
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