Startups that develop the technology and vocal applications of AI are experiencing their moment. Model Builder like Elevenlabs AND Cadine They have collected millions of dollars in recent months. As notable applications based on Grit and meeting tools READ AI AND Fireflies ai They also received the attention and support of investors.
Continuing the trend, the dictation app WISPR flow Announced today that he is collecting $ 30 million in funding in Serie A by Menlo Ventures with the participation of Nea, 8vc, the CEO of Opal Kenneth Schlenker, the founder of Pinterest Evan Sharp, the Henry Ward Card Cyo and the CEO of Lindy Flo Crivelli. Matt Kraning by Menlo Ventures, who also supported the company as an Angelo investor, will join his advice. To date, the company has collected $ 56 million.
The founder and CEO of the startup, Tanay Kothari, started building WISPR to create a device that would allow users to type only words in silence. His previous financing was for that activity.
Last year, the company began to focus on Wispr Flow, the software interface designed for the hardware device.
The company released a Mac app in October 2024, followed by a Windows app in March 2025 and a iOS ap at the beginning of this month. Kothari said that, since its early version, VCS in Silicon Valley has used the product.
“I think that every single fund of Venture Capital in the Uspr of the Valley for their and -mils, reminders, documents and more. They feel hooked on it, and it is one of the products they use the day. For this reason, we have started to get very incoming”, Kothari on the interest of the investors.
Remarkable, Granola also had a similar story of enormous interest in investors because The VCs have used their product a lot.

Kothari also noticed that the start will soon reach profitability to the current growth rate and initially has not collected money. However, it feared that great technological players with a huge advantage of distribution that can be a risk for the company. He rapidly multiplied the performance and achievement of the company and decided to undertake the investment.
The CEO of Menlo Ventures Matt Kraning, who was a passionate user of the app, said that the initial thesis for WisPr Flow was that with the current set of input methods, such as keyboards, we are “waiting for our thumbs to reach our thoughts”.
“Wispr Flow is creating an efficient way to translate digital thoughts and intentions. The app captures users’ speech and what they want to transmit very well. The team has Thhusht on how people speak while developing models rather than focusing on things like Techcrunch error rates.
User growth and future travel table
The startup said that the app has increased its users’ base by 50% month on month. Kothari observed that 40% of the uses of the app is in the United States, 30% in Europe and 30% in other parts of the world. In addition, over 30% of the app users come from a non -technical background.
“More and more people use artificial intelligence tools, but there is still a good interface for people who are not techniques. The chatgpt style interface is the most common, and that has been released three and a half ago. We are building for all the Kinders of Users System asking to interface with the IA,” said Kothari.
At the moment, WISPR Flow Dictation in 104 languages. Kothari said that 40% of the tests are in English and 60% of them are in the rest of the languages, with Spanish, French, German, Dutch, Hindi and Mandarin who are the best languages.
The company will use funding to grow its 18 team with engineering and market roles. It also releases an Android app and will satisfy corporate users by setting the phrase teams and business support.
The startup is working on the construction of the flow in a product similar to an AI feeding assistant who knows most about your personal context and helps you to carry out daily tasks such as messages, take notes and establish reminders. In addition, the company said that it is working with some artificial intelligence hardware partners, without appointing them, to feed the level of interaction.