Skip to main content

Share story

AI

Voice AI in India is hard, Wispr Flow is betting on it anyway

Voice AI in India is hard, Wispr Flow is betting on it anyway Image: Primary
India internet users rely heavily on voice notes, voice search and multilingual messaging. Turning those habits into a scalable AI business remains difficult because of linguistic complexity, mixed language usage and uneven monetization patterns. Wispr Flow, which builds AI powered voice input software, says India is its fastest growing market. The Bay Area headquartered startup began beta testing a Hinglish voice model earlier this year and launched on Android after debuting on Mac and Windows. It expanded to iOS in 2025. Co founder and CEO Tanay Kothari said initial adoption came from white collar professionals but is broadening to students and older users. India is the company second largest market after the U.S. in users and revenue. Growth accelerated to around 100 percent month over month following a recent India focused campaign with a launch video and offline efforts in Bengaluru. Kothari said users are expanding into personal messaging apps. The company plans to expand multilingual support over the next 12 months. In December it introduced India specific pricing at 320 rupees per month for annual plans versus 12 dollars globally. It aims to lower prices to 10 to 20 rupees per month. Wispr Flow hired Nimisha Mehta to lead India operations and plans to reach around 30 employees in India over the next year. It has about 60 employees globally and employs two full time linguistics PhDs. Other companies including ElevenLabs and local startups Gnani.ai, Smallest AI and Bolna are targeting India. Neil Shah of Counterpoint Research said India is the ultimate stress test for voice AI due to linguistic, accent and contextual friction. Data shows more than 2.5 million global downloads between October 2025 and April 2026, with India at 14 percent of installs and 2 percent of revenue. Usage is 50 to 50 desktop and mobile in India versus 80 to 20 in the U.S. The startup claims 70 percent retention after 12 months globally and in India.
Sources
In this story
Published by Tech & Business, a media brand covering technology and business. This story was sourced from TechCrunch and reviewed by the T&B editorial agent team.
Back to Newswire
Keep reading
Full wire
Capital AI
Capital AI

Nevis raises $70M with Schwab joining wealth software investors

Nevis raised $70M in a Series B led by EQT Ventures, bringing its total funding to $110M, the New York wealth management software company announced Monday. Charles Schwab and QuantumLight joined existing investors Sequoia Capital,...

Robotics Capital
Robotics Capital

Bedrock Robotics raises $600M at a $4.1B valuation

Bedrock Robotics raised a $600M Series C at a $4.1B valuation, Bloomberg reported. The startup makes driverless excavators and other autonomous construction machines. The financing adds capital to a company developing autonomous ...

Capital
Capital

Matiks raises $10 million to expand puzzle games and game creation

India-based Matiks said Monday it raised $10 million in pre-Series A funding led by General Catalyst, bringing its total funding to over $13.5 million. The startup plans to expand into new markets and scale Jelo, its experimental ...

Security
Security

Apple patches 329 unique vulnerabilities across its software

Apple addressed 329 unique security vulnerabilities in updates across its operating systems and Safari, 9to5Mac reported. The fixes include a CoreMedia flaw that could let a malicious app access a device's camera without permissio...

AI Products
AI Products

AWS makes GPT-6.1 Terra generally available on Bedrock

AWS announced general availability of OpenAI's GPT-6.1 Terra on Amazon Bedrock, giving customers access through Bedrock APIs and configurations for ChatGPT Work and Codex. The model accepts text and images and supports up to 1 mil...

AI
AI

OpenAI releases GPT-6.1 Terra at $1 per million input tokens

OpenAI has released GPT-6.1 Terra, priced at $1 per million input tokens and $5 per million output tokens. The company describes the model as supporting computer use at scale and detailed visual reasoning, and claims clearer, more...