AI solution · Apriora · HR

Apriora

Apriora's AI recruiter Alex conducts live screening interviews around the clock so your team focuses on hiring decisions.

Independent overview by new Mantra · updated July 22, 2026

Category: HR
Pricing: Free tier; Starter from ~$30/mo; Enterprise custom
Implementation: 1-2 weeks
Adoption risk: Medium
Integrates with: Greenhouse, Lever, Ashby, calendar/scheduling

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What Apriora does

Apriora is built around an AI recruiter named Alex that holds real voice and video conversations with job candidates — not a chatbot sending form questions, but a live, interactive interview that candidates can take by phone, video, SMS, or WhatsApp at whatever time suits them. Alex works continuously, so applications that come in overnight or on weekends get screened immediately rather than sitting in a queue.

Once an interview is finished, Alex scores the candidate automatically using standardized questions and objective criteria, reducing the role gut instinct plays in early-round decisions. It also handles the follow-on coordination: booking qualified candidates directly onto your team's calendars without recruiter involvement. Separate modules let you verify candidate identity to reduce fraud risk and resurface strong profiles already sitting dormant in your applicant tracking system.

The platform connects with more than 33 applicant tracking systems, including Greenhouse, Lever, and Ashby, so it slots into a hiring workflow you likely already have rather than replacing it. A free tier lets you try the basics, with paid plans starting at around $30 a month and custom pricing available for larger or more complex hiring operations.

Key capabilities

Live AI Screening Interviews

Alex conducts personalized voice or video interviews with each candidate 24/7, asking follow-up questions based on what the candidate actually says rather than running a fixed script.

Automatic Candidate Scoring

After each interview Alex scores candidates against your defined criteria, giving recruiters a consistent, data-backed shortlist instead of a pile of unreviewed applications.

Multi-Channel Candidate Reach

Candidates can interview by phone, video, SMS, or WhatsApp, which widens participation and removes scheduling as a reason good applicants drop off.

Identity Verification

A built-in verification layer checks that the person showing up for the interview is who they claim to be, which is particularly relevant for remote or high-volume hiring.

ATS Talent Rediscovery

Alex scans your existing ATS for candidates who applied to past roles and automatically reaches out when a new role is a good match, turning cold profiles into active prospects.

Scheduling Coordination

Once a candidate clears screening, Alex books the next interview directly onto your team's calendars without requiring a recruiter to manage back-and-forth.

Best for

HR and talent teams dealing with high application volumes who cannot realistically give every candidate a first-round conversation
Businesses that hire in waves — seasonal surges, rapid growth, large cohort programs — where recruiter capacity becomes a bottleneck
Companies running campus recruiting or early-careers programs that want every applicant to receive a real interview experience rather than an automated rejection
Staffing and RPO firms that need to screen more requisitions and submit shortlists faster without proportionally growing headcount
Organizations hiring across multiple time zones or languages where candidates applying outside business hours currently face long waits

Worth knowing

Rolling out an AI interviewer changes how candidates first experience your brand and how recruiters spend their time — expect a real change-management effort, including internal alignment and communication to candidates about the process.
The free tier covers exploration, but meaningful hiring volume will require a paid plan; enterprise pricing is custom and would need a direct conversation with Apriora to scope accurately.
Most teams are up and running in one to two weeks, but that window assumes someone owns the configuration work — connecting your ATS, setting interview questions, and defining scoring rubrics takes deliberate setup time.
If your hiring process depends heavily on early relationship-building by recruiters or involves very small candidate pools, the automation layer may add less value than it would in high-volume contexts.
Candidate acceptance of AI-led interviews varies by role level and industry; it is worth considering how your specific candidate audience is likely to respond before rolling it out across all requisitions.

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