Qualify Indian real estate leads at scale. Handle regional dialogue fluidly and automate site visit coordination.
TRAI/NDNC-aware outreach controls, DND screening support where enabled by your telecom setup, opt-out capture, and auditable call records.
Integrates with Exotel, TeleCMI, LeadSquared, WhatsApp Business API, and major listing portals.
CallQuants is a specialized enterprise AI voice agent platform designed for Indian real estate developers and brokers seeking to automate Hinglish voice calling, portal lead rescue, and site visit bookings. When property inquiries arrive from platforms like 99acres, Magicbricks, or custom website forms, the AI voice agent instantly initiates automated callbacks to engage leads. The bilingual agent converses fluently in mixed Hindi and English (Hinglish) or regional dialects to qualify homebuyer budgets, preferred configurations (such as 2 BHK or 3 BHK units), and timeline requirements. It schedules in-person site tour appointments and coordinates automated transportation pickups, sending Google Maps directions and digital project brochures directly to prospects via WhatsApp. The platform syncs structured call outcomes, detailed conversation summaries, and custom tags directly to CRMs like LeadSquared and Salesforce, allowing sales representatives to execute targeted follow-ups and improve lead conversion rates by up to thirty percent.
Compliance features are technical controls, not legal advice. Customers remain responsible for consent, registry access, disclosures, and campaign rules in every jurisdiction where they call.
[Phone Ringing...]
Lead (Prospect): Hello?
AI Agent (Sapna): Namaste, main Sapna baat kar rahi hoon CallQuants Realty se. Kya meri baat Amit ji se ho rahi hai?
Lead: Haan, Amit bol raha hoon. Bolo, kya kaam hai?
AI Agent (Sapna): Amit ji, aapne hamari website par register kiya tha new residential projects in Bangalore inquiry ke liye. Toh main usi ke baare mein follow-up karne ke liye call kiya hai. Kya yeh sahi samay hai aapse baat karne ka?
Lead: Haan, theek hai. Main Whitefield area mein 2 BHK ya 3 BHK dekh raha hoon. Kya pricing chal rahi hai wahan?
AI Agent (Sapna): Bilkul, Whitefield is a very good location. Abhi hamare paas premium developers ke 2 BHK aur 3 BHK units available hain, jinki starting price ₹85 Lakhs se shuru hoti hai. Sabhi projects main road se connected hain aur metro station se kaafi paas hain. Aapka budget kis range mein hai, Amit ji?
Lead: Mera budget ₹90 Lakhs se ₹1 Crore tak ka hai. Possession kab tak milega?
AI Agent (Sapna): ₹90 Lakhs se ₹1 Crore ke budget mein hum aapko Whitefield ke posh complexes mein ready-to-move ya under-construction units de sakte hain, jo within 12 months hand over ho jayenge. Kya aap family ke liye search kar rahe hain ya investment purpose ke liye?
Lead: Family ke liye hi hai, self-use. Mujhe ek baar site visit karni padegi.
AI Agent (Sapna): Arrey wah, family ke liye site visit karna toh sabse zaroori hai! Hum aapke liye free cab facility arrange kar denge site visit ke liye. Kya hum is coming Saturday morning 11 AM par aapka site visit confirm karein? Hamare project manager wahan rahoge aur aapko details explain karenge.
Lead: Saturday 11 AM theek rahega. Cab pick-up location main WhatsApp kar dunga.
AI Agent (Sapna): Perfect! Saturday subah 11 baje ka site visit confirm ho gaya hai. Main aapse call ke baad WhatsApp par contact details aur hamare project brochure share kar rahi hoon. Aap wahan pick-up address bhej dijiye. Thank you for your time, Amit ji. Have a wonderful day!
Lead: Thank you, Sapna.
Instantly connect with portal submissions in English, Hindi, or Hinglish before competitors call.
Automate reminders for booked site visits, send location links via WhatsApp, and track agent handoffs.
Broadcast project updates and commission structures to broker network lists using natural conversational bots.
A form, portal lead, missed call, CRM list, calendar event, or webhook starts the voice workflow.
The AI agent follows your approved script, asks qualifying questions, handles common objections, and detects escalation language.
Qualified or sensitive cases route to the right human team with context, transcript, and call summary attached.
Outcomes sync to CRM, calendar, WhatsApp, n8n, Make, Zapier, or custom webhooks for follow-up automation.
To ensure a successful, high-performing, and regulatory-compliant deployment of enterprise AI voice agents, organizations must systematically define key operational parameters before initiating any outreach campaigns. This checklist outlines the core technical and strategic decisions your operations team needs to establish prior to launching: identifying target call recipients, validating the legal and consent basis for outreach, scripting specific qualification questions and objection handling paths, setting data-mapping endpoints for CRM and scheduling integration, and establishing rules for when calls should be routed to a live human operator. Addressing these five dimensions ensures that the AI voice agent functions seamlessly as a natural extension of your team, protecting customer relationships while driving measurable outcomes across sales, scheduling, support, or billing programs. Review these requirements to align your technology stack, consent logs, calling schedules, and CRM data flows before going live.
Before launch, define what the AI can say, what it must never promise, which questions require a human, and how urgent or sensitive phrases should be routed.
Map every lead, customer, patient, applicant, or booking record to the fields your team needs after the call: intent, status, summary, callback time, owner, and next action.
Confirm the calling basis, calling hours, opt-out language, suppression list, DNC/NDNC process, recording disclosure, and audit trail before scaling outbound campaigns.
Comparing CallQuants vs. Bolna AI, Yellow.ai, Vapi, Bland AI
| Feature / Capabilities | CallQuants AI | Generic Voice Bots (US) | Local Voice Bots (India) |
|---|---|---|---|
| Deployment focus | Vertical playbooks for sales, support, appointments, reminders, and India/US calling operations | Often developer-first or contact-center-first | Often region-specific with narrower workflow depth |
| Telephony flexibility | BYO telephony approach for supported carriers such as Twilio, Plivo, Exotel, and TeleCMI | Frequently optimized around one carrier stack | Frequently optimized around one local carrier stack |
| Workflow handoff | CRM/webhook events, call summaries, transcripts, tags, and human handoff triggers | Usually API-based with custom build needed | Often available, but varies by implementation |
| Compliance support | Consent, calling-window, opt-out, DNC/NDNC, and audit-log controls | Depends on customer implementation | Depends on telecom and customer process |
| Multilingual fit | Designed for English plus Indian-language and Hinglish workflows where configured | Strong English support; India fit varies | India language fit may be stronger, global fit varies |