TL;DR
Ganesh Gopalan started building voice AI in India in 2016. Here’s what his journey looked like:
01. THE MISTAKE
They built the technology first.
Speech-to-text for 10-12 Indian languages, self-funded, with years of going without salaries.
02. THE PROOF
The technology worked. But that wasn’t enough.
They still needed a problem customers would pay them to solve.
03. THE TURN
Customers showed them what to build.
A conversation with TVS Credit revealed a contact centre shortage in lending. COVID did the rest. Today, Gnani.ai has around 250 customers across five countries.
04. THE SCALE LESSON
Don’t build a new business for every customer.
Solve a common problem, reuse the solution, and find similar customers.
05. THE BUSINESS TEST
Sell the outcome, not the technology.
Measure what the customer achieves, whether minutes handled or loans generated.
06. THE PLAYBOOK
Three questions every AI founder should answer.
Who will use it? Who will pay? Why will they pay?
Working technology isn’t the finish line. Finding the right problem is.
What does it take to build and scale voice AI from India?
Ganesh Gopalan, Co-founder and CEO of Gnani.ai, started building voice AI in India in 2016, long before the current AI boom.
Here’s what his journey reveals about building and scaling an AI business.
The Bet
When Ganesh and his co-founder started out, India had many service companies but very few deep-tech product companies. They wanted to change that.
Investors questioned why they wanted to build their own technology instead of using global APIs. But the founders were clear that they wanted to build in India.
They chose voice because it is the most natural way people communicate. They felt that technology had reached a point where it could solve real problems and deliver results for businesses.
The Undo
Looking back, Ganesh says they started in all the wrong ways. They built the technology first and figured out the use case later. The team developed speech-to-text systems for 10–12 Indian languages, using their own money and going without salaries for years. But they still needed to find a problem customers would pay them to solve.
After two years of building the technology, the team began speaking to customers across industries to understand their needs.
One conversation with their customer TVS Credit changed things. One customer pointed out that voice AI could help the lending industry, where there was a shortage of contact centre staff.
The team was asked to build a system that could have conversations like a contact centre employee. They put it together in just a couple of days, with the system also tracking calls and their outcomes.
Around the same time, they signed their first insurance customer. When COVID hit, more businesses needed ways to reach customers remotely. These early customers helped Gnani.ai find real problems its technology could solve. Today, it has around 250 customers across the US, India, UAE, Philippines and Japan.
The Scale Lesson
Ganesh’s approach to scaling is simple. When a solution works for one customer, find similar customers who need it too.
Gnani.ai started by serving customers in banking and financial services, building on what worked before expanding into other industries.
Ganesh also advises founders not to build a business that needs a new solution for every customer. Instead, focus on solving a common problem and creating a solution that can be used again.
The Business Test
According to Ganesh, what matters is not how much technology a business uses, but what it helps the customer achieve.
Gnani.ai may measure the minutes of conversation handled by its system or, in lending, the number of new loans generated. The metric depends on the customer’s goals, but founders need to track whether their product delivers the expected results. That is what helps retain customers and build a lasting business.
The Playbook
Gnani.ai’s journey shows that a working AI model is only the beginning. Ganesh believes founders should start with a specific customer and answer three questions.
- Who will use your product?
Understand who will use it and what problem they need to solve.
- Who will pay for it?
The person using the product may not be the person paying for it.
- Why will they pay for your product?
Be clear about what makes your solution worth paying for.
Finding these answers takes time and many customer conversations. His advice is to listen and keep learning. Debt collection, for example, was not an area the team had planned to enter. Customer conversations helped them discover the opportunity.
Working technology isn’t the finish line. Finding the right problem is.
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No One Way to Scale
Ganesh’s journey shows that building good technology is only the start. Founders also need to find the right problem, understand who will pay for the solution and prove its value.
His advice is to start with a specific customer, listen to their needs and keep learning.
Don’t build technology just because you can. Find a real problem and solve it well.
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