Zeta Crucis

Intelligent voice interviewing for deep, immediate insights.

Pitch

Zeta Crucis is an AI-powered voicebot designed to transform qualitative research and HR interviews. By leveraging natural language processing (NLP), voice recognition (ASR), and an agentic flow for transcription analysis, it replaces passive surveys and formal human interviews with an adaptive voice experience that is customized to client needs, personalized in real-time based on user responses, and delivers deep insights quickly.

The Zeta agent can be set up to conduct a structured or semi-structured voice interview via web, mobile, or phone. It can pursue lines of inquiry and ask for examples and anecdotes, and it can adjust its tone and brevity based on how the user is responding. Transcripts are immediately coded and analyzed based on predetermined research goals and hypotheses, producing reports for both individual interviews as well as overall findings from interviews in aggregate.

Zeta Crucis allows businesses to conduct qualitative research, gather customer or employee feedback, or automate HR screening interviews with greater efficiency, algorithmic empathy, and immediate insights.

Why It’s Different

  • Live engagement tuning for dynamic conversations
    It doesn’t just react – it decides what to ask, how much to dig, and when to stop. It adjusts tone, pace, and depth based on speaker behavior (verbosity, hesitation, tone).

  • Voice UX
    People talk faster and more naturally than they type; this mimics real interviews and yields much more than a survey could uncover.

  • Insight-as-output
    Instead of “data,” Zeta Crucis returns synthesized conversational insights pre-configured based on research goals.

  • Researcher-configurable levers
    Users can choose structure vs. open-endedness, tone, and depth – like a human interviewer.

Market opportunity

The global AI-powered survey market is growing rapidly, with businesses seeking more efficient ways to gather and analyze qualitative feedback. The ability to conduct dynamic, voice-based interviews provides a unique edge over traditional survey tools that often fail to capture nuances in human emotion and context.

We know voice is exploding. We’ve built digital humans, we’re experts at chatbots. We’re aware that conversational AI tech is maturing weekly. The zeitgeist is also shifting: studies show 1 in 5 Americans have interacted with an AI companion, and the voicebot-as-friend paradigm has, shall we say, entered the chat. For better or worse, emotional trust in machines is increasing. And while that’s alarming on a psychosocial level, it’s a huge opportunity from a research perspective.

Competition is growing, but it’s not there yet.

  • Zeta Crucis remains uniquely positioned with natural interaction + deep synthesis.

  • Vervo competes in high-volume, low-complexity HR use cases.

  • X0PA overlaps slightly in B2B HR automation, but with less emphasis on conversation or qual research.

  • Curious Thing still is the closest direct competitor: voice-first, but more rule-based and HR-limited.

  • HireVue, Sapia, and Talkpush are strong in HR but less conversational or insight-rich.

  • Tether AI excels in analysis, but only post-call – no real-time voice interaction.

  • PolyAI dominates on voice UX but is geared toward customer service, not insight.

Target markets:

  • Corporate HR teams: Streamlining the hiring process, automating first-call screenings, and identifying cultural and technical fit faster.

  • Corporate CX teams: Enabling better understanding of customer sentiments and feedback in product testing.

  • Market research firms: Agencies and brands looking for real-time, in-depth feedback.

  • HR & recruiting firms: Automating initial interviews to save time and scale talent acquisition efforts.

MVP overview

V1 feature set:

  • Voice input (ASR) – Captures live user speech and transcribes it in real time

  • NLP/LLM agent – Analyzes transcription, detects topics/emotion, decides what to ask next

  • TTS output – Speaks next prompt/questions using natural-sounding voices

  • Dynamic follow-up logic – Uses memory/state and predefined structure to guide the conversation

  • Insight engine – Agentic flow that creates real-time transcript and short summary of findings

  • Admin config panel – Simple dashboard to define flow tone, goal, and question scope

POC development:

  • Audio sample of interview example (Voiceflow + LLM)

  • Analysis workflow via Make.ai with sample outputs