Nova
AI applicant screening with 96% accuracy. Nova scores resumes against structured criteria, rediscovers past ATS candidates and sources new talent. Cut screening time 70%
Description
AI that reads a job description and guesses your requirements isn't good enough.
Nova's agent works with you and your hiring manager to define what good looks like for each role, then scores every applicant, resurfaces candidates you already have, finds new ones and flags fraud. All inside Greenhouse.
Nova writes the relevance score, strengths, concerns and interview focus areas back to each candidate in Greenhouse, so recruiters can filter on the Nova score and decide who to advance, reject or rediscover without leaving the ATS. Fraud risk posts as a note and tag on high-scoring candidates. Talent Pool Search rescores past Greenhouse applicants against new roles; AI Talent Search sources new candidates outside your database.
Features
Screening ATS (automated resume screening)
- Turns hiring manager intake into structured, explainable scoring criteria
- Scores and ranks every applicant against the criteria in real time
- Writes the score, strengths, concerns, and interview focus areas back to Greenhouse
- Works across any language with consistent accuracy
Talent ATS search (rediscover candidates)
- Rescores past Greenhouse applicants against any new role's criteria
- Surfaces qualified candidates already in your ATS, ranked best-fit to not-a-fit
- One click jumps from the Nova results back into the Greenhouse profile
Outbound search (AI talent sourcing)
- Finds candidates outside your ATS via external sources (LinkedIn; GitHub coming soon)
- Scores every profile against your criteria with transparent reasoning
- Returns a ranked shortlist; the agent learns from your feedback each cycle
Fraud detection
- Auto-screens high-scoring candidates for resume fraud
- Checks LinkedIn authenticity, cross-candidate patterns, AI-generation markers and many many more
- Posts a Low / Medium / High risk tag and note onto the Greenhouse candidate
