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Startups developing technology and applications of vocal AI have their moment. Model manufacturers like Elevenlabs And Cartisis have collected millions of dollars in recent months. Applications such as the notifier powered by AI Granola and meet tools Read ai And Fireflies ai also received the attention and support of investors.
Continuing the trend, dictation application Wispr flow Announced today that he collects $ 30 million in series A series A of Menlo Ventures with participation of Nea, 8VC, CEO of Opal Kenneth Schlenker, the founder of Pinterest Evan Sharp, CEO of Carta Henry Ward and CEO of Lindy Flo Crivelli. Matt Kraning of Menlo Ventures, who also supported the company as a providential investor, will join its board of directors. To date, the company has raised $ 56 million.
The founder and CEO of the startup, Tanay Kothari, began to build Wispr to create a device that would allow users to type simply by reducing the words in silence. Its previous funding was for this company.
Last year, the company rather started to focus on the WISPR flow, the software interface designed for the hardware device.
The company published a Mac application in October 2024, followed by a Windows application in March 2025 and a IOS application earlier this month. Kothari has mentioned that, since its early release, the VC in Silicon Valley have used the product.
“I think that each Valley level venture capital fund uses the WISPR flow for its emails, their memos, their documents, and even more. They feel clinging to it, and this is one of the products they use every day. Because of this, we have started to get a lot,” Kothari said about the interests of investors.
In particular, Granola also had a similar story to receive immense interest from investors because VCS used their product a lot.
Kothari also noted that the startup will soon reach profitability at the current growth rate, and initially, he did not want to collect funds. However, he feared that major technological players with a massive distribution advantage could be a risk for the company. He wanted to quickly multiply the income and the scope of the company and decided to make the investment.
The CEO of Menlo Ventures, Matt Kraning, who was a user passionate about the application, said that his initial thesis for Wispr Flow was that with the current set of entry methods, such as keyboards, we “wait for our thumbs to catch our thoughts”.
“Wispr Flow creates an effective way to translate digital thoughts and intention. The application captures user discourse and what they want to transmit very well. The team has thought about how people speak while developing models rather than focusing on things like word error rates,” he told Techcrunch.
User growth and future roadmap
The startup indicated that the application has increased its user base by 50% per month. Kothari noted that 40% of application users are in the United States, 30% in Europe and 30% in other parts of the world. In addition, more than 30% of the users of the application come from a non -technical background.
“More and more people are using AI tools, but there is still not a good interface for people who are not technicians. The chatgpt style interface is the most common interface, and this was published three and a half years ago. We build for all kinds of users so that they do not have to write system invites to interface with the AI”, said Kothari.
Currently, WISPR flow supports dictation in 104 languages. Kothari said that 40% of the Dications are in English, and 60% of them are in the rest of the languages, Spanish, French, German, Dutch, Hindi and Mandarin being the main languages.
The company will use funding to develop its team of 18 with roles in engineering and the market. He will also publish an Android application and will be addressed to business users by configuring the context of the sentence and the company’s support teams.
The startup is working on the construction of flows in a product that is similar to an assistant powered by AI who knows more about your personal context and helps you do daily tasks such as sending messages, taking notes and defining reminders. In addition, the company said that it worked with certain AI material partners, without naming them, to feed the interaction layer.
