Home / Directory / Talent, learning & services markets / AI interviewing & candidate screening / Alex
Alex
Agentic AI recruiter from San Francisco that runs phone, video, technical, and behavioral first-round interviews and syncs notes to the ATS. Alex raised a $17 million Series A led by Peak XV Partners in September 2025.
Enterprises, Big 4 style firms, and staffing agencies screening large applicant pools for professional, technical, and frontline roles.
Small teams that want to self-serve with a published price, or companies hiring only a few people a year.
Verdict
Alex is an AI recruiting company in San Francisco, founded by Aaron Wang and John Rytel and backed by Y Combinator, formerly called Apriora. Recruiting teams use it to call or video-interview applicants soon after they apply, run technical and behavioral screens, check details like salary and availability, flag candidates using AI to cheat, and write notes back to the ATS. It stands out because it works at enterprise scale, running thousands of interviews a day for large employers and staffing firms, while still giving recruiters a shared record of each conversation.
Score Breakdown
How Alex scores in the categories that matter to its buyers.
Pricing
Alex does not publish prices. Its pricing page books a demo, and plans are quoted.
Contracts are sized to hiring volume and the interview types used, such as phone screens, video, technical, and behavioral interviews, with 33 or more supported ATS integrations.
The Field at a Glance
How Alex compares with other AI interviewing & candidate screening vendors we reviewed, by Overall Score and relative typical engagement cost.
Alex scores 7.5 in AI interviewing & candidate screening, level with Sapia.ai (7.5), and ahead of HeyMilo (7.4) and Ribbon (7.4).
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| High-volume professional roles | Strong | Allen Recruitment and CFO's Domain use it for first rounds. |
| Remote hiring with fraud risk | Strong | Tier4 Group cut fraudulent applications by 38%. |
| Frontline retail hiring | Strong | Mattress Firm uses it for store roles. |
| Technical screens | Strong | Runs technical and system design formats. |
| Small teams self-serving | Weak | Demo and quote only. |
| Candidates wary of AI calls | Mixed | Some candidates prefer to know a voice agent is calling first. |
Review Excerpts
Excerpts from company materials and public coverage of Alex, plus representative buyer views drawn from public information. Paid reviews and pay-for-play sites were excluded.
“Our shortlists are already more accurate. With Alex’s interview notes on the candidate record, we can build them faster.”
“Alex has handled difficult conversations with more ease and confidence than some of our recruiters could.”
“Some candidates want to know a voice agent is calling before it starts, so we tell them in the invitation.”
Representative buyer view
Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.
Based on: Alex’s website
Key Leadership
Aaron Wang
Co-founder and CEO
Methodology
This page is an independent evaluation of Alex for buyers comparing options in AI interviewing & candidate screening. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Alex did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for AI interviewing & candidate screening)
- Phone & video first-round interviews
- Fraud & integrity checks
- Enterprise & staffing scale
- Small-team affordability
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the use-case matrix above.
Scope
Alex is graded here as AI interviewing & candidate screening. Criteria scores can move as more review volume and product checks are added.