Score once. Trust it everywhere.
Every candidate scored against the JD on a 0-100 scale, broken down by category. Reports are hashed and cached, so the number is identical in the PDF, on the Match page, and next to the candidate in your shortlist.
Deterministic scoring, hash-locked to the inputs.
We hash the JD, the candidate profile and the scoring version together. Same inputs → same hash → same cached report. No more scores that drift every time you rescore.
- temperature = 0 for stable model output
- Cached on the shortlist row via match_input_hash
- Same score in PDF · Match page · Shortlists
Match Report
Dana M. → GIS Software Developer · Skyline Charts
83
Strong fit
A PDF that reads like it was written for the client.
Category breakdown, evidence-backed strengths, honest gaps and a clear recommendation. Branded per client, ready to share.
- 0-100 score with weighted categories
- Evidence pulled from the candidate profile
- One-click PDF export, branded for the client
Match Report · Delivered
Dana M. → GIS Software Developer
Skyline Charts · Prepared by your team
83
Overall
A
Fit level
5
Evidence pts
Strong PostGIS background aligned with the geospatial pipeline. Prior aviation-adjacent work reduces ramp-up. Gap on real-time chart rendering flagged as low-risk given depth of Postgres tuning.
Stop searching. Start remembering.
PaceTalent.ai is rolling out to a small group of boutique search firms. If that sounds like you, we'd love to show you around.