Thousands apply. You still hire in days.

Reena is built for intakes where thousands apply and speed still matters: AI CV screening reads and ranks every application within minutes of arrival, AI interviews and self-booked scheduling run fair rounds at any volume, and bulk actions with automation clear the admin in between. Misk Foundation runs 10,000+ applicants per cycle in 2–3 weeks; CNTXT AI cut time-to-hire from around two weeks to 3–6 days.

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reena · throughputGraduate Intake
0+screened / hour
Careers site
read
620/hr
Job boards
read
540/hr
Agency feed
read
300/hr
Referrals
read
210/hr
Campus drive
read
180/hr
Talent pool
read
150/hr
The same fair read on every one.
Speed at scale

When thousands apply, what has to give?

The usual answer is: something. Either the pile gets a fast, shallow read and consistency slips, or it gets a careful read and weeks disappear.

Speed and fairness are not a trade-off at volume: they are both a system problem. While your pipeline waits, the strongest candidates accept the offer that moved first, and the admin breaks alongside them: every stage move, status update and rejection note multiplies by the size of the intake.

How it works

Five capabilities, one intake.

The mechanics behind hiring in days instead of weeks, whether ten people apply or ten thousand.

AI CV Screening

Every application gets a fast, fair read

Every CV is analysed within minutes of arrival, against your specific requirements.

A ranked candidate shortlist in Reena: each applicant scored and tagged, sorted from the strongest fit down.
AI Interviews

Fair first rounds, at any volume

Real-time voice interviews, available across all timezones, with adaptive follow-ups and integrity checks.

A candidate's AI interview screen: video preview, mic check and device selection, with Reena on the call.
Interview Scheduling

No more scheduling back-and-forth

Your team connects their calendar, and candidates book their own interview based on availability.

The Set Up Interviews review screen, step 5 of 5: team, fair rotation mode, duration, booking window, time to book, break and reminders.
Workflow Automation

The admin clears itself

Bulk actions move hundreds of candidates at once, and automation checks complete your set preferences.

The Created Stages panel, showing a hiring process built from stages like Applied, Reena Interview, Offer and Hire.
Communications

Messages that actually arrive

Built-in communication across the hire. No more updates lost to spam folders or scattered inboxes.

A message thread with a candidate, inviting them to schedule an interview for a Marketing Intern role.
Agentic AI, in your control

Speed and scale from the AI. Judgement from your team.

Nothing about moving faster or handling more removes judgement. That is a design rule, not a promise.

01

You set the rules

Every requirement, threshold and knockout rule is one your team wrote, and Reena runs on them at any speed and any volume.

02

Every decision is shown

Each recommendation and each automated step arrives with the reasoning behind it, logged where your team can see it.

03

You make the call

Recruiters review, adjust and decide. Any call Reena makes, your team can override.

Proof

What faster at scale looks like on real hiring.

Measured on client hiring, not benchmarks.

10,000+
Applicants processed per programme cycle
Misk Foundation · Saudi Arabia
2–3wks
To run a full intake of 10,000+ applicants
Misk Foundation · Saudi Arabia
3–6
Days to hire, down from around two weeks
CNTXT AI · UAE

Frequently Asked Questions

Yes, and both numbers are verified rather than theoretical. Misk Foundation processes more than 10,000 applicants per programme cycle on Reena and runs each intake in 2–3 weeks, while CNTXT AI in the UAE cut time-to-hire from around two weeks to 3–6 days. The speed and the volume come from the same thing: every application is read within minutes of arrival, against the same criteria, in parallel.
No: Reena is faster because it reads every application in parallel against the same requirements, not because it skims, and the read does not degrade with volume. Every candidate gets the same structured read, every score arrives with its reasoning, and your recruiters keep the final call. Misk Foundation saw evaluation consistency improve by around 40% across its programmes after moving to standardised workflows on Reena.
Yes. For the rounds that need a human, Reena connects to Google and Microsoft calendars, reads only free or busy status, never event titles or attendees, and shows candidates live slots in their own timezone. Confirmations, reminders and calendar invites go out automatically, and reschedules, cancellations and no-shows update everyone without a recruiter chasing the thread.
No: they give every candidate a structured first round when running that many human interviews is impossible. Reena conducts a real-time voice interview on the question set your team writes, then produces a transcript and a per-question evaluation with evidence quotes. Your interviewers review every outcome, and no candidate advances or exits on the AI alone.
Bulk actions handle the work that multiplies with volume: stage moves, qualify and disqualify decisions, tagging, sharing and CSV export run across hundreds of candidates at once. Automation rules take the rest, moving a candidate forward or applying your knockout criteria the moment scores arrive, at any hour. Every action is logged and reversible, so nothing happens that your team cannot see, explain or undo.
They land in a searchable talent pool with their scores, tags and history attached, ready for the next cycle. CNTXT AI in the UAE built a 70–85% reusable, pre-verified talent pool on Reena and now retrieves project-ready people in under 30 seconds using plain-language AI search, which makes each intake cheaper and faster than the one before.
Implementation takes weeks, not quarters. We sit with your team, map the pipeline you already run, and configure Reena around it rather than asking you to change how you hire. We are your tech team, not your vendor: the same people who build the product help you launch it and stay in it after go-live.

Run the next intake at full volume,
and still decide in days.

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