AI recruiting software that starts with what actually matters
Define what good looks like.
Screen, source, and shortlist talent automatically.
Nova works with your hiring team to build structured scoring criteria for each role, then screens every applicant, resurfaces past candidates, and finds new ones automatically.
- AI resume screening with transparent, criteria-based scores
- Rediscover qualified candidates already in your ATS
- Automate candidate sourcing with AI-powered outbound search
- Detect resume fraud before it costs you
Trusted by talent acquisition teams at high-growth companies
Daryl Benson
Founding Talent Acquisition Lead
Stewart Brooks
Global Talent Acquisition Leader
Emily Donald
Head of Talent
Alan Hines-O'Callaghan
Head of Talent Acquisition
Jose Rubio
Head of People
Mary Mock
Talent Acquisition and Development Manager
AI Candidate Sourcing: Paste Your Requirements, Get a Ranked Shortlist
Nova asks targeted intake questions, searches for candidates from every angle, scores each profile against your hiring criteria, and flags who is most likely to respond to outreach. It checks in at each checkpoint so you can confirm or steer it. In the time it takes to write a Boolean search string, you have a sourced shortlist waiting.
See a live AI sourcing demo
“10 names on the list, 2 already interviewing for me. I've spent hours doing this manually and never got results that good.”
“Manual sourcing for this kind of search is a nightmare. Nova just handed me a shortlist I'd have spent a week building myself.”
Automated Resume Screening: From Intake to Shortlist Without Prompt Engineering
Most AI screening tools guess from a job description and hide the reasoning. Nova starts with the hiring manager intake and turns it into structured, shared scoring criteria — what “good” looks like, what’s a deal‑breaker — then applies it everywhere. You get consistent, explainable scores you can stand behind.
- ✓ Led 0→1 feature from spec to launch
- ✓ 5+ years production Python
- △ Limited experience in B2B SaaS
Share this view with the hiring manager for quick calibration. Lock the criteria when aligned.
500+ applicants
Build hiring criteria your team agrees on.
Turn the kickoff into structured criteria: must‑haves, nice‑to‑haves, and deal‑breakers. Informed by your past hires and peer company patterns.
Calibrate on real candidates.
Score a small sample, share a quick Agree/Disagree link with the hiring manager, iterate to fairness, then lock the criteria.
Automatically score and rank every applicant.
Every new applicant is scored in your ATS against the criteria with per‑criterion evidence and tags. No black boxes.
Evidence you can defend.
See strengths, risks, and cited resume snippets for every score. Paste into notes and debriefs with confidence.
Talent Rediscovery: Find Past Candidates Already in Your ATS
Your ATS is filled with thousands of qualified candidates who almost got the job. Nova turns this untapped talent pool into your most powerful sourcing channel by automatically matching past applicants to new roles and helping you find the exact people you need, instantly.
Traditional Keyword Search
Resulting Matches:
Pat Miller
Role: Product Marketing Manager
Nova’s Contextual Search
- Must have: Launched a 0-to-1 product
- Nice to have: B2B SaaS experience
Resulting Match:
Riley Taylor
Experience: Launched 2 B2B SaaS products from scratch
New Job Posted
“Senior Product Manager”
Auto-Surfacing
From Your Talent Pool:
Sam Kumar
Silver Medalist for PMCasey Liu
Withdrew (Counter-offer)Riley Taylor
Location: New York | Last Contact: Q3 2023
Casey Liu
Location: New York | Last Contact: Q4 2023
Search your talent pool with context, not just keywords.
Use the same powerful Criteria Builder to define exactly who you're looking for, whether it's for a new role or a proactive talent search. Go beyond simple keywords and search based on true capability and experience.
Automatic rediscovery for every new role.
When you post a new job, Nova works in the background, searching your entire talent pool for qualified candidates who have applied before. These high-match profiles are surfaced directly in your ATS for you to review.
Natural language search across your entire candidate database.
Need to find "all the product managers I spoke to last year based in New York"? Nova's search capabilities allow you to query your talent pool using natural language and get instant results, complete with their full history.
Resume Fraud Detection: Not Every 10/10 Resume Is What It Seems
Fabricated and AI-generated resumes score well on paper. Nova’s fraud detection catches what resume screening alone can’t, so your team moves faster on candidates they can trust.
Jordan Hayes
Senior Software Engineer
- 8 years of full-stack experience
- Led engineering team of 12 at Series B startup
- Increased platform revenue by 340%
Jordan Hayes
Senior Software Engineer
- Overlapping dates at 2 companies (2021-2022)
- Invisible text detected (1px white font, 47 hidden keywords)
- Email address registered 3 weeks ago
- LinkedIn: no activity history, 12 connections
Signals converge into one risk level
Multiple independent flags increase confidence. Isolated issues stay low risk.
Automatic verification for your top candidates.
High‑scoring candidates automatically trigger fraud analysis. No manual work, no extra tools. If a resume scores well, Nova checks whether it should.
10 signals. One clear assessment.
Nova evaluates each resume across ten independent dimensions, from timeline integrity and email verification to hidden content and cross‑candidate matching. When concerns converge, the risk level rises. When they don’t, it stays low.
Risk assessment, right in your ATS.
A structured fraud note with risk level, top reasons, and recommended actions appears directly on the candidate’s ATS profile. Your recruiters see it where they already work.
ATS Integrations: AI Screening and Sourcing Inside Your Existing Workflow
Official integrations with Greenhouse, Lever, Ashby, Teamtailor, Workable, and Pinpoint
Don’t see your ATS? Contact us to learn more.
How Accurate Is Your ATS Resume Screening?You Might Never Know.
“We ran a blind test comparing Nova to our own manual screening. Even the skeptics were surprised. Nova flagged 50% of our obvious no-hires in minutes—and helped us avoid the false negatives. It lets us see the right people, faster.“
Scoring accuracy based on predicting hiring manager interest across candidate evaluations.
Time saved per month with Nova
Monthly cost savings
€2,008per month
How we calculate your savings
Based on typical recruiter workflows, we estimate that manual CV review takes 2.5 minutes per candidate, while Nova-assisted review takes just 1.2 minutes.
With Nova ranking and filtering candidates, you typically only need to review the top 15 CVs instead of all 200 applicants per role.
At an average recruiter salary of €4,000/month, this translates to significant time and cost savings that compound across your hiring pipeline.
AI Recruiting Software Pricing: Screen and Source Talent Without the Busywork
Reduce resume screening time by up to 70% and find qualified candidates faster. Focus your time on high-fit applicants and meaningful conversations.
Free Trial
Custom pricing based on your projected application count. Starting from $250/mo.
- AI-powered resume screening with detailed candidate insights
- Seamless ATS integration (Greenhouse, Lever, Ashby, and more)
- Real-time usage tracking and spend controls
We’ll work with you to create a custom pricing plan tailored to your projected application volume. Get started with a free trial to see Nova in action. No contracts and you can cancel any time.
Enterprise
Unlimited jobs and applications for one predictable monthly fee
We’ll agree a flat monthly price tailored to your hiring volume. Unlimited seats, unlimited roles.
- Priority screening with deeper insights
- Rediscover past candidates already in your ATS
- Natural language talent search across all roles
- Custom feature development and API access
- Invoice billing & custom terms
- Bias mitigation and compliance tools
- Support for 15+ languages
- Dedicated customer success manager
- Enterprise-grade security