Synopsis
India is now Wispr Flow’s second-largest market, said CEO Tanay Kothari, with users and paying subscribers growing as people spend when value is clear. Kothari said strong utility drives high conversions and more annual plans. The company is targeting early adopters and betting on focus, speed, and real product value to scale further.He said that this behaviour is reflected in strong conversion rates for Wispr Flow’s offerings, as users prioritise utility over experimentation. The company, which is building AI-led voice productivity tools, is seeing India play a key role in its growth, both in adoption and monetisation.
“What we learned is that Indians will pay if you deliver real value, but they are very particular about it. If you are doing something really well, people will pay. Once we understood that, our focus shifted to ensuring users feel a strong sense of value from the product…that they are getting what they paid for. That is what we optimised for,” Kothari said.
“One interesting thing about India is that conversion rates, or the percentage of users who pay, are very similar to the US. But the mix is different. In the US, annual and monthly subscriptions are roughly 50-50, whereas in India, about 80% of users opt for annual plans. Once you build trust and demonstrate clear value, people are comfortable committing for the long term,” he added.
Founded in 2021, Wispr Flow has raised a total of about $81 million to date, across multiple funding rounds from investors such as Menlo Ventures, Notable Capital and 8VC and a clutch of angels, and was last valued at around $700 million as of November 2025.
The Silicon Valley-based startup, which was founded by Stanford University graduates Kothari and Sahaj Garg as a brain-computer interface hardware platform, has since pivoted to a voice-first software approach, shaping its current product strategy. Its fundraising over the past two years came amid growing investor appetite for generative AI and voice-led productivity tools such as Cartesia and Eleven Labs also raising capital.
Kothari, however, said that venture capital firms in the US were stepping back from investing in large swathes of AI software startups – marking what could be the “beginning of the end” of the current bubble.
He said that capital is increasingly drying up for companies with weak unit economics, poor retention, low recurring revenue, and fault lines that were previously masked by abundant funding. “If you have built primarily on venture funding and need the next round to survive because your unit economics are deeply negative, then you are in serious trouble. That is what you are starting to see with a lot of companies.”
“The bubble ending is not a bad thing,” he said. “It just means the companies actually building something valuable will stand out.”
India a voice-first market
India is becoming a major growth area for Silicon Valley voice AI startups. In order to meet the demand for real-time, multilingual speech AI, US-based Cartesia is investing $2.5 million to establish operations in Bengaluru. In the meantime, ElevenLabs is one of the biggest voice AI companies in India, targeting enterprise adoption as reported by ET earlier.
Kothari said the company’s India strategy is centred on targeting early adopters within the country’s tech ecosystem before expanding to a wider audience.
“We’re starting with users who are most similar to our original base in San Francisco- primarily the tech community in Bengaluru. Once adoption picks up there, it naturally influences the rest of the market, as these users tend to be aspirational for a broader segment,” he said.
The broader ambition, he said, is to make voice the default interface across workplaces in India.
“Our goal is to get into every company in India and make voice the default way people work. The way we do that is by first targeting early adopters and well-known companies, landing those accounts, and then expanding from there,” he said.
The startup claims that they have onboarded large technology companies in the US. It has begun adding new enterprise clients at a rapid pace, including Fortune 500 firms, with several more in advanced stages of discussions.
The defensibility question
Addressing concerns around whether larger AI firms can replicate its product, Kothari said defensibility comes down to focus and execution speed rather than just capital.
Companies like OpenAI and Anthropic are “fighting a hundred battles” across models, enterprise and AGI, which dilutes attention on voice, he said, adding that even with resources, “you can only do so many things at a given point in time.”
“They are focused on enterprise. Enterprise customers want fine-tuned LLMs, so most efforts are directed there. If you try OpenAI as a casual desktop app, it feels like something built by a Y Combinator startup, given the number of bugs. That reflects where their focus lies because if they wanted to make it great, they could,” he said.
“What we are building our company on is a very different approach. We are solving an extremely specific problem, with a deep understanding of both the use case and the users. That focus allows us to move quickly and capture as much market share as possible, with a strong emphasis on growth and brand.”
Kothari argued that building high-quality voice models cannot be compressed indefinitely, estimating a “six to nine months” lag for competitors to match Wispr Flow’s output. The startup is instead betting on deep problem focus, faster execution and rapid market capture, with Kothari noting the real risk is not competition catching up, but whether the company can “move fast enough” to stay ahead.
