About
We built the tool we wished existed when hiring.
SwiftShortlist started from a simple frustration: too many hours lost reading CVs that do not match the role. A recruiter spending half a day on first-pass screening is not doing their best work. We set out to change that.
We use Gemini, Google's large language model, to read every CV end-to-end, understand context and experience, and score each candidate against your exact job requirements. Not keywords. Not pattern matching. Actual comprehension.
The result: a ranked shortlist in under 2 minutes, complete with reasoning, strengths, gaps, and recruiter notes for every candidate.
10x
Faster first-pass screening
100
CVs processed per batch
2 min
Average time to shortlist
Our principles
Transparency in scoring
Every score comes with reasoning. You always know why a candidate ranked where they did.
Recruiter in control
AI surfaces the shortlist. The recruiter makes every hiring decision. We are a tool, not a replacement.
Candidate data handled responsibly
CV data is processed solely to generate rankings. It is never used for advertising, profiling, or sold to third parties.