A Quick Look at Apriora:
Apriora offers an autonomous AI interviewer ("Alex") that conducts real-time, two-way interviews over video or voice, generates structured write-ups after each call, and syncs notes back to the ATS. They position Alex as a domain-expert screener across roles and industries.
The Mokka Difference:
- Evidence over performance: Apriora's core is a live AI interview; Mokka centers on building a multi-source, evidence-based profile (pre-screen interview + integrity checks + profile enrichment), designed to validate accomplishments—not just capture a single interview performance.
- Candidate-friendly optionality: Apriora focuses on live voice/video. Mokka lets candidates choose text, voice, or video with no time pressure—supporting broader accessibility and higher completion.
- Risk & CX posture: The broader category has seen glitches with AI interviewers, underscoring why Mokka emphasizes transparent, reviewable evidence artifacts over "AI-only" conversations.
Key Questions to Consider:
- How are claims from a single live interview verified against other signals (resume, LinkedIn, work samples)?
- What fallbacks exist if an AI call degrades (network, ASR issues)? Are candidates offered alternative modes?
- How are interviewer prompts standardized to reduce variance and support compliance reviews later?