Comparison Guide

Alex AI (formerly Apriora) Pricing in 2026: What It Costs and What to Test First

Founder, InterviewFlowAIReviewed by InterviewFlowAI Editorial Team
· Pricing verified August 21, 2026

Alex is the AI recruiter formerly known as Apriora, running live video, phone, SMS and WhatsApp interviews. It publishes no pricing — every path ends at a demo booking — and the dollar ranges circulating online are competitor estimates, not quotes. It raised a $17M Series A in September 2025.

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InterviewFlowAI versus Alex AI comparison
60-second comparison

The decision at a glance

Alex AI is closer to a full recruiting automation suite than a single interview tool. InterviewFlowAI is the better fit when you want a focused AI interviewer with transparent pricing, quicker self-serve rollout, and less enterprise complexity.

Choose InterviewFlowAI if

Teams that primarily need AI phone or video interviews, immediate scorecards, and predictable per-interview pricing without a broader sales-led platform rollout.

Choose Alex AI if

Mid-market and enterprise recruiting teams that want interviews, resume screens, fraud signals, scheduling coordination, and ATS-connected workflow automation in one platform.

Pricing difference

Alex AI is demo-led with custom pricing. InterviewFlowAI is transparent at $0.99 per interview monthly or $0.83 yearly, with no setup or per-seat fees, which makes it easier for lean recruiting teams to launch and budget.

Beyond AI interviews

InterviewFlowAI also includes an AI interview notetaker, candidate assessments, Talent Search for proactive candidate sourcing, and an MCP server that lets Claude, ChatGPT, Codex, and other MCP-compatible assistants query your candidate and interview data.

Why Choose InterviewFlowAI Over Alex AI?

Transparent flat pricing instead of custom enterprise packaging

Automated ranked shortlisting and rubric-based scorecards after every interview

Faster implementation for teams that only need AI interviews

Phone and video workflows built specifically for AI interview automation

Cleaner operating model for multi-role recruiting teams

Best fit by target market

If your pipeline is concentrated in the United States, Australia, or Europe, these are the buying questions that matter most.

United States

US hiring teams comparing InterviewFlowAI and Alex AI usually care about time-to-screen, recruiter efficiency, and ATS workflow. InterviewFlowAI is the stronger fit when you want to replace repetitive phone screens with automated AI phone or video interviews.

Australia

Australian teams often need flexible screening across time zones and mobile-first candidate pools. InterviewFlowAI is a strong choice when agencies and growing teams want after-hours screening without enterprise implementation overhead.

Europe

European teams tend to weigh candidate experience, multilingual support, and workflow clarity more heavily. InterviewFlowAI fits well when you need structured AI screening without the friction of a heavyweight enterprise rollout.

Feature Comparison

See how InterviewFlowAI stacks up against Alex AI

FeatureInterviewFlowAIAlex AI
Live AI Interviews
Resume Screening
Candidate Verification Signals
Scheduling and Talent Rediscovery
ATS Integrations
Transparent $0.99/Interview Pricing
Candidate AssessmentsNot verified
AI Interview NotetakerNot verified
Talent SourcingNot verified
MCP for AI AssistantsNot verified
Methodology

How we evaluated this comparison

Pricing was taken from the vendor's own pricing page in August 2026 and is dated on this page. Where a vendor publishes no figures we say so rather than repeating third-party estimates. Capability claims are checked against the vendor's current product and support documentation, not against last year's feature set. We name what the competitor does better and who should buy it instead.

When to choose Alex AI

Where Alex AI is the better fit

Choose Alex if you want a single agent covering video, phone, SMS and WhatsApp with resume screening, scheduling and identity verification bundled, and you have the enterprise budget and patience for a demo-led rollout. Its multi-channel breadth exceeds ours. Its G2 rating is 4.8, though on fewer than 30 reviews, so peer evidence is thin in both directions.

How InterviewFlowAI Works

InterviewFlowAI automates candidate interviews with AI phone and video interviews, standardized scoring, and instant hiring reports. Here's what the platform does end-to-end.

Interview Modes

  • AI phone interviews (voice-to-voice, fully autonomous)
  • AI video interviews (face-to-face with the AI)

Scoring & Reporting

  • Every candidate receives a standardized score out of 100
  • Per-question score breakdown available in advanced filters
  • Filter candidates by minimum score thresholds on specific questions
  • Multi-question filter logic: show only candidates who passed ALL must-have criteria
  • Webhooks: interview.report_available event fires when the scorecard is ready for review
  • Export candidate data as CSV at any time

FlowAI Assistant

  • Ask FlowAI: conversational AI assistant for deep candidate analysis
  • Compare multiple candidates side-by-side with AI-generated pros/cons
  • Ask FlowAI to summarize technical skills, flag red flags, or assess role fit
  • FlowAI is a decision-support co-pilot — final shortlisting decisions stay with the recruiter
  • MCP: ask the same kind of questions from Claude, ChatGPT, Codex, or another MCP-compatible assistant, with read and write access scoped separately and write limited to workspace owners

Proctoring

  • Tab-switch detection with configurable per-occurrence score deductions
  • Eye and face detection to confirm candidate is present and focused
  • Answer authenticity analysis to detect AI-generated or externally assisted responses
  • All proctoring penalties are configurable — set your own thresholds and caps

Integrations

  • Native integrations with Ashby, Greenhouse, Teamtailor, Workable, and Zapier
  • MCP server: connect Claude, ChatGPT, Codex, and other MCP-compatible assistants to ask about candidates and interviews in plain language
  • Ingestion API: push candidates in programmatically with skills arrays for custom question generation
  • Fetch API: pull candidate lists and interview data into any external system
  • Patch API: write scores and review flags from external tools back into InterviewFlowAI
  • Webhooks: real-time events for interview.started, interview.in_progress, interview.completed, interview.report_available
  • CSV export for manual data workflows

Candidate Invitations

  • Share a direct interview link
  • Manually invite candidates one by one from the dashboard
  • Bulk CSV upload to invite multiple candidates at once
  • Ingestion API to programmatically trigger invitations from any ATS or CRM

Frequently Asked Questions

Did Apriora rebrand to Alex, and is it the same product?

Yes. Apriora rebranded to Alex and moved to alex.com; the footer still reads Apriora Inc. dba Alex, and apriora.ai redirects there. Search under both names when researching, because the review corpus is split across them. Note also that 'Apriora' is easily confused with aPriori, an unrelated manufacturing-cost product.

What does Alex AI charge, and is any figure published?

Alex publishes nothing: no per-interview rate, no seat price, no credit pack, no free trial. Every route ends at a 30-minute demo. The annual figures quoted in competitor blogs are estimates from parties with an incentive, and should not be used for budgeting. Ask for the contract total, the implementation fee, the volume cap and the overage rate.

Will Alex interrupt candidates who pause to think?

Test this specifically. Reviewers and buyers report Alex prompting "are you still there?" after under ten seconds of silence, plus mid-question pauses that sound like the turn has ended. Ask whether the silence and interrupt threshold is configurable, then run a candidate who thinks before answering. Pacing is the top cause of AI interview drop-off.

How well does it handle non-native accents at volume?

Accuracy degrading with diverse accents in high-volume deployments is documented by multiple independent reviewers. Run a pilot with candidates from your real applicant pool, read the transcripts against the recordings, and ask for adverse-impact testing rather than a general fairness statement.

Will Alex tell a candidate it is an AI if asked?

Ask the vendor to demonstrate it. There is a documented account of an Alex call that gave no AI introduction, went silent for around 60 seconds when asked whether it was AI, and then admitted it had not read the candidate's resume. Disclosure behaviour is a candidate-trust and, in some jurisdictions, a compliance issue.

How do you due-diligence a vendor with almost no reviews?

You cannot rely on peer evidence here — the rebrand split what little existed across two names. Ask for two reference customers hiring comparable roles at comparable volume, agree a paid pilot on one requisition, and set completion-rate and transcript-accuracy thresholds in advance so the pilot can actually fail.

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