Why 'Supports 135 Languages' Means Nothing If It Doesn't Understand Your Customer
This isn't about checking a 'multilingual' box on a feature list.
Ayush Kulkarni
Co-founder & Operations, Speaksy
Let Me Tell You a Story
Let me tell you about Rajesh. He runs an insurance agency in Coimbatore. His customers speak Tamil at home, English at the office, and a fluid mix of both when discussing premiums and policy details.
Rajesh tried one of those 'multilingual' voice platforms. The demo looked great. But when his customer said 'Enaku ₹5 lakh coverage venum, but EMI ethana varum?' — the system froze.
Why? Because it was trained on textbook Tamil and textbook English. Not the Tamil-English that 80 million Indians actually speak every day.
Code-switching isn't a bug in Indian speech. It's the feature. And most voice platforms treat it like an afterthought.
The Problem Nobody Talks About
Picture this: A customer calls your business. They speak a mix of Hindi and English — what we all call Hinglish. Your IVR says 'Press 1 for English, Press 2 for Hindi.'
The customer presses 1. Gets an English menu. Struggles. Presses 2. Gets Hindi. Still not quite right. They hang up.
That customer just wanted to talk like a normal person.
How Language Understanding Actually Works
Most people think voice AI 'speaks' languages. That's only half true. The real magic is in understanding — and understanding Indian speech is genuinely hard.
Indian speech isn't 'pure' language. A customer might say: 'Mujhe ₹5 lakh ka loan chahiye, EMI kitna hoga 3 years ke liye?' That's Hindi + English in one sentence. A 'multilingual' system that switches languages sentence-by-sentence can't handle this. It needs to understand both simultaneously.
Regional accents vary massively. Chennai Tamil isn't Madurai Tamil. Mumbai Hindi isn't Lucknow Hindi. A system trained on one accent fails on the other.
Speakers don't follow scripts. Your customer might interrupt, change topics, ask unexpected questions, or go silent while thinking. The AI needs to handle all of this naturally.
What Speaksy does differently: It's trained on real Indian phone conversations — not textbook language, not translated scripts. It understands Hinglish, Tanglish, Tenglish, Kanglish, Marathi-English, and Indian English as they are actually spoken. With code-switching handled naturally, not as an afterthought.
The result? Your customer feels like they're talking to someone who gets them. Not a robot reading from a translated sheet.
What This Actually Means for Your Business
On the arc
Scroll — the proof points rotate into focus.
₹5 lakh
understanding
Indian speech isn't 'pure' language.
What does 'understanding Indian languages' actually mean for your business?
It means your Tamil-speaking customer in Coimbatore doesn't have to switch to broken English to ask about their order.
It means your Kannada-speaking patient in Bengaluru can explain symptoms the way they actually talk — mixing English medical terms with Kannada descriptions — and be understood.
It means your Hindi-speaking insurance policyholder in Lucknow can ask 'Mera claim kitne din mein aa jayega?' and get a clear answer in the same language mix they used.
This isn't about checking a 'multilingual' box on a feature list. It's about the 250 million Indians who code-switch daily — who think in one language, count in another, and express emotions in a third. A voice platform that doesn't get that isn't built for India. It's built for a PowerPoint.
A Real Example
A major D2C brand launched in Tamil Nadu. Their voice support was 'English with Tamil option.'
Result? 68% of Tamil-speaking customers abandoned calls within 60 seconds. They couldn't navigate the English menus. The 'Tamil' option was formal, textbook Tamil — not the Tanglish their customers actually spoke.
After switching to a platform that understands real Tanglish:
- ·Call abandonment dropped from 68% to 12%
- ·Average call duration increased (customers stayed to complete their query)
- ·CSAT scores for Tamil calls went from 2.8/5 to 4.3/5
One customer actually said: 'Finally, someone who speaks like me.'
That 'someone' was an AI. But the customer didn't care. They just wanted to be understood.
The Bigger Picture
Here's the thing most people miss: Voice AI isn't about technology. It's about a simple business truth — the company that answers the phone fastest usually wins the customer.
We're not selling you call minutes. We're selling you the ability to never miss a conversation that could become a customer. That's industry intelligence, not infrastructure.
Curious what an AI agent would sound like for your business?
That's the real test. And we're happy to take it.