Building Aadhya: A Real-Time Hinglish Voice Agent with < 500ms Latency
How we built a production-ready voice AI agent that speaks natural Hinglish and qualifies leads instantly — without sounding like a robot.
The Challenge: Why Traditional IVR is Dead
Let's be honest — nobody enjoys calling a business and being greeted by a robotic "Press 1 for Sales, Press 2 for Support." Traditional IVR systems are slow, frustrating, and completely fail at the one thing that matters: building rapport.
At Fluxenta, we needed something better. When a lead fills out our contact form, we want to qualify them instantly — before they navigate away, before they forget why they reached out, and definitely before our competitors respond.
Our goal was clear: build a voice agent that feels human. That means:
- Latency under 500ms — any longer and the conversation feels robotic
- Natural Hinglish code-switching — our audience is Indian CTOs and founders who speak a mix of Hindi and English
- Context-aware conversations — the AI should know what the lead inquired about
- Automatic CRM sync — call summaries and lead status updates should happen without human intervention
Traditional tools weren't built for this level of personalization. We needed to go deeper.
The Technology Decision
After evaluating several voice AI platforms, we decided to build our own. The key requirements:
🎯 Speed First
We optimized for sub-500ms response times. This means streaming audio processing, ultra-fast language models, and voice synthesis that doesn't wait for full sentences before speaking.
🗣️ Natural Language
The voice needed to sound warm, professional, and authentically Indian — not a robotic American accent. We spent weeks fine-tuning the intonation and code-switching patterns.
📊 Smart Integration
Every call automatically updates our CRM with summaries, lead scores, and next steps — no manual data entry required.
Hinglish Code-Switching: The Secret Sauce
The hardest part wasn't the tech stack — it was getting the tone right. Indian business conversations naturally blend Hindi and English. Technical terms stay in English ("timeline," "dashboard," "development"), but emotional connection happens in Hindi ("Bilkul," "Samajh gayi," "Theek hai").
Example Opening:
"Hi! This is Aadhya from Fluxenta. I saw you inquired about building a SaaS dashboard. Bilkul, we specialize in that — do you have 2 minutes? I just want to confirm the timeline and technical stack."
Notice the natural flow? That's not an accident. We trained Aadhya to:
- Use Hindi for conversational warmth ("Bilkul," "Ji," "Theek hai")
- Keep technical terms in English for clarity
- Mirror the lead's language preference dynamically
- Use short, natural responses (under 25 words) to maintain flow
The Results Speak
Since deploying Aadhya, we've seen:
3x
Increase in lead conversion rate
4 sec
Average response time to new leads
$0.30
Cost per qualified lead call
24/7
Coverage without hiring SDRs
More importantly, our founders wake up to a CRM where qualified leads are already tagged, summarized, and ready for follow-up — before they even open their laptop.
Why Voice AI is Table Stakes for 2026
Building Aadhya taught us that voice AI is table stakes for 2026. If you're not following up with leads in under 5 minutes, you're losing them to competitors who do.
The key lessons:
- Speed matters more than perfection — a fast, good agent beats a slow, perfect one
- Context is everything — knowing what the lead inquired about makes the conversation feel personal
- Cultural fit matters — a Hinglish-speaking agent converts better in India than a generic English one
- Close the loop — voice AI is only valuable if it feeds back into your workflow
Want Aadhya for Your Business?
We're opening up slots for agencies and B2B SaaS companies who want their own voice AI agent. 4-week delivery, full customization included.
Book a Demo Call →