Why I Started Tenori Labs: A Second-Generation Entrepreneur's Bet on AI

I am a second-generation entrepreneur.

My family built Disha Communications 38 years ago. I grew up around advertising, watched campaigns come together, and eventually took over the business as Executive Director. I am not an engineer. I did not come up through a tech company. I did not train in machine learning. My instincts were shaped by brand strategy, client relationships, and the unglamorous reality of running a legacy business that has survived through four decades of economic cycles.

So when people ask why I started an AI company, the honest answer is: I saw the problem before I saw the solution. And I could not unsee it.

What I kept watching happen

For years, I watched enterprise clients spend enormous money on advertising to generate leads, then lose those leads in the handoff to their support and sales systems.

A brilliant Hindi language campaign for a tier 2 city audience would drive 50,000 inbound inquiries. The client's call center, staffed mostly in English, could meaningfully engage with maybe 15,000 of them. The rest got dropped, mishandled, or converted poorly because the first touch was in the wrong language.

This was not a small leak. It was a flood. Crore-level ad budgets were being poured in at the top of the funnel, and the bottom of the funnel was not built for Indian reality. I watched it happen over and over across BFSI, education, real estate, automotive, every sector.

The root cause was not the agencies or the clients. It was the operational infrastructure they had available. Call centers designed in an English-first, menu-first, human-only paradigm were simply not built for a country that speaks 22 languages, switches between them mid-sentence, and expects enterprise-grade service regardless of which town you are calling from.

And then in 2024, something shifted.

The shift I could not ignore

Large language models got good enough to have real conversations. Speech technology got fast enough to feel natural. Latency dropped below the threshold where conversation stops feeling like a system and starts feeling like a call.

Suddenly, the tools existed to fix what I had been watching break for years.

The obvious play for an Indian enterprise startup in voice AI was to build something that actually worked for Indian reality: multilingual from day one, code-switching by default, sub-600ms latency because that is what natural conversation requires, and designed for the compliance environment Indian enterprises actually operate in.

I did not see that being built. Global platforms were building for their markets. Some Indian platforms were building interesting things but not with the combination I thought was needed.

So I did the thing second-generation entrepreneurs are not supposed to do: started a new company in an adjacent space, bootstrapped, in November 2025.

What we are building

Tenori Labs builds AI platforms for enterprise communication. Our first product is ARCA, a voice AI platform that supports 22 Indian languages and 20 international languages with sub-600ms response time and native code-switching support.

ARCA is designed specifically for how India actually operates:

Customers who speak Tamil at home and English at work

Enterprises that need to scale support in Odia, Assamese, or Bhojpuri without hiring impossible teams

Compliance requirements that cannot be retrofitted (DPDP, RBI, sector-specific norms)

Integration with Indian CRMs and systems (Meritto, Lead Square, Zoho, and the rest)

Cost structures that work for Indian enterprise budgets, not Silicon Valley budgets

We focus initially on verticals where the language and compliance reality hits hardest: education, real estate, marketplaces, BFSI, and healthcare. These are also verticals where I have spent years on the advertising side, so I know the operations inside out.

The bet

The bet behind Tenori Labs is simple. Voice AI in India will not be won by global platforms treating India as a market. It will be won by platforms built for India's specific language, cultural, and compliance realities.

I am also betting that enterprises prefer to work with companies that understand their reality. Disha Communications has 38 years of enterprise credibility, including some of the largest public sector and private enterprise clients in India. When I show up for a Tenori Labs conversation, I am not a first-time founder pitching. I am someone who has spent decades building the infrastructure that Indian enterprises actually rely on.

That credibility opens doors. The product has to deliver. Those two together are the strategy.

What the first six months taught us

We launched ARCA in late 2025. In the first six months, we learned a few things that reshaped our approach.

Pilots beat promises. Enterprises do not want to buy voice AI. They want to see it work on their data, with their customers, on their phone lines. So we built a 2-week pilot model that lets customers see ARCA in production before committing.

Language is the moat. Every time we go head-to-head with global platforms, the language realities are where we differentiate most. Customer calls in Tamil switching to English switching back to Tamil are where generic platforms visibly break and where ARCA keeps running.

Latency is what sells in demos. The first 10 seconds of any voice AI demo determine whether the customer takes the next meeting. Sub-600ms response time is what makes the demo feel real. Above a second, customers politely end the conversation.

Compliance is not a feature. It is a foundation. Enterprises dealing with DPDP, RBI norms, and sector-specific compliance cannot use voice AI that treats compliance as an afterthought. This is why we built audit trails, consent management, and policy-bound conversation design into ARCA from day one, not as enterprise upsell features.

What comes next

We are building Tenori Labs patiently. No rushed growth. No dilution chasing headline metrics. We want to build an AI platform that Indian enterprises can rely on for decades, the way they have relied on Disha Communications for decades.

That means focusing on the right customers, delivering real ROI, and continuing to build the platform that actually solves the problem I kept watching break. The 500,000 lead inquiry in Tier 2 Tamil Nadu that never got a meaningful call back. That is the problem we are here to fix.

If you are an enterprise dealing with that reality, talk to us. We will show you how ARCA handles your specific scenarios in your specific languages before you commit to anything.

One pilot. Two weeks. Real data. Then you decide.

— Nigel