Every application, read in minutes.
Reena reads every CV against the requirements your team sets, scores each candidate with the reasoning shown, and hands your recruiters a ranked shortlist they can trust, question and override. Two thousand applications get the same fair read as twenty.
Reading the application against each requirement.
The pile is where good people go missing.
At volume, manual screening stops being a judgement task and becomes a survival task: the recruiter is not asking who is the best candidate, only who can be ruled out fastest. Strong applicants written in the wrong template sink, and the whole pile waits days for a first read.
Reena reads every application within minutes of submission, against up to nine dimensions of your requirements: skills, experience, education, languages, location, nationality, age range and GPA, each one weighted the way your team decides. Recruiters start at the shortlist, not the slush pile.
It reads between the lines, not just the keywords.
A keyword filter drops a strong candidate for using the wrong word. Reena reads the substance: it knows the difference between a candidate who listed a tool and one who ran it under pressure, and it recognises equivalent experience across different stacks, markets and industries.
Reviewed 2,341 applications for Customer Support Representative. Flagged 16 for your review.
Strongest match: Ana Rivera. 94/100 fit. Four years running support queues, worked Zendesk and Intercom against your Freshdesk stack.
- 4 yrs support queues+22
- Zendesk + Intercom (your stack: Freshdesk)+18
- High-pressure seasonal volumes+16
- Weekend cover unconfirmed−4
From job description to shortlist, in three steps.
Setting up screening for a role takes minutes, and your team can change the rules themselves at any point: no consultants, no change requests.
Set the requirements
Define must-haves and preferences, and the weight each carries. Paste the job description and Reena drafts the screening criteria for you, ready to adjust.
Reena reads everything
Every application is scored against your criteria within minutes of arriving, the last one as carefully as the first. Bulk uploads from a previous system get the same treatment.
Your team decides
Recruiters open a ranked pipeline with the reasoning beside every score, then review, adjust and decide. Score thresholds can move candidates forward automatically, on rules you set.
What screening looks like after Reena.
Measured on client hiring, not benchmarks.
What happens to everyone you don't hire?
Every screened candidate lands in your talent pool with their scores, reasoning and history attached. When a new role opens, ask for what you need in plain language and Reena searches the pool the way it reads CVs: by meaning, not exact words.
For teams that hire in cycles, this is where the second intake gets faster than the first: CNTXT AI built a pre-verified annotator pool on Reena and now retrieves project-ready talent in under thirty seconds.
Explore Applicant Tracking →"Support leads with e-commerce experience who reached final rounds."