Résumé & JD parsing
Structured extraction with normalised dates and skills.
Features
Four stages, one workspace — and the complete capability list at the end, all live today.
01
From a PDF to a ranked, explainable shortlist.
Structured extraction with normalised dates and skills.
Evidence-anchored rubrics; totals computed in code.
Anonymised first. No inference on protected traits.
Model, prompt and rubric version, stored with the result.
Copied résumés caught against your own pool.
Round-specific questions from the candidate’s evidence.
02
Your Teams or Meet. Our scheduling.
Offer 1–5 slots; the candidate picks, no login.
Up to ten interviewers; clashes refused up front.
Rooms minted in your Microsoft 365 or Google Workspace.
Week, day, month, agenda. Drag to reschedule.
T-24h and T-1h; no-shows flagged ten minutes in.
Teams recordings transcribed and scored, no bot in the call.
03
Sandboxed execution. Automated proctoring.
Python, JavaScript, Java, C, C++, Go, Dart and SQL.
11 role families, balanced by difficulty.
Code never runs in-process.
A second person, an identity change, a phone.
Candidate speech separated from external voices.
Five warnings by default; one incident, one strike.
04
The busywork, automated.
Booking, reminders and updates at every step.
Tasks created by events, closed when the work is done.
Every open tab updates the moment something changes.
Six-factor risk per offer.
Funnel, throughput, stalled candidates — live.
Per-organisation data, encryption at rest, SSO.
Complete capability list
52 capabilities across 8 areas, all live today.