ZobiqueContext
Businesses generate leads through websites, advertising campaigns and other channels, but qualifying those leads still takes substantial manual effort. Rather than build another scripted calling system, we are developing a voice AI platform designed around how Indian customers actually speak, including natural Hindi-English code-switching, interruptions and conversations that don't follow a predictable script. The product is in R&D, with development focused on conversational reliability, speech handling and configurable industry-specific agents.
Problem
Sales teams often spend hours calling new leads before discovering who is genuinely interested, what they need, or whether they're ready to decide. Scripted calling systems struggle when a conversation leaves the predefined path, and generic voice agents can miss the nuances of Hinglish, interrupt callers at the wrong moment, or fail to capture the information a sales team needs. Businesses need more than an AI voice that can speak: they need a system that listens, understands intent, stays focused on a business objective and turns conversations into actionable information.
What we built
We are developing voicenity.zobique.com as a configurable, multi-agent voice AI platform for lead qualification and business conversations. The hard part isn't generating speech; it is managing speech recognition, conversational reasoning, response generation and audio playback together in real time. Our R&D focuses on conversational reliability, interruption-aware audio processing and business-specific intelligence. These are active engineering priorities, not claims that every real-world calling scenario has been solved.
Industry-specific voice agents
Five initial playbooks: real estate, education, legal consulting, healthcare and service agencies. Each agent follows a defined objective, such as qualifying a property enquiry or routing a healthcare enquiry.
Hinglish-first conversations
Built around the way Indian customers switch between Hindi and English. Businesses configure the agent's language, tone, persona, qualification questions and business knowledge.
Real-time interruption handling
Speech handling that tells genuine interruptions apart from background noise and acknowledgements like "hmm" and "haan", so the agent stops and listens when a caller cuts in.
Configurable agent workspace
Several agents per business, each with its own identity, qualification fields, persona and knowledge, kept separate so objectives and information don't get mixed.
Structured lead qualification
Captures a lead's requirements, budget, timeline, interests and qualification outcome, so a sales rep doesn't have to listen to every call from scratch.
Per-agent analytics
Dashboards of call activity and qualification outcomes for each agent, showing how leads are classified and where follow-up is needed.
- Lead enters the pipeline
- Voicenity calls the lead
- A natural conversation
- Qualification captured
- Sales team follows up
Result
Currently in R&D, with a waitlist open at voicenity.zobique.com. The product direction covers configurable voice agents, Hinglish-first conversations, industry-specific qualification workflows, multi-agent management and per-agent analytics. The next milestone is validating conversational quality and qualification accuracy under realistic calling conditions before broader deployment.
Qualitative: in R&D. No production call volumes, qualification improvements or conversion-rate gains are claimed.
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