Wispr announced a $280 million Series B financing that lifts its valuation to $2 billion, according to a filing with Reuters. Menlo Ventures led the round and also participated in the company’s previous raise, which valued Wispr at $700 million in November. The new capital brings Wispr’s total funding to $361 million.
The San Francisco‑based startup builds Wispr Flow, a dictation tool that lets users speak into any application and have the text appear where the cursor sits. The firm argues that the era of competing on raw AI models is ending; the real frontier, it says, is the interface that lets everyday users tell a system what they want. Menlo partner Matt Kraning summed it up in a Fortune interview: “It isn’t a dictation market. Dictation is how you get in the door. The labs have mostly solved intelligence. Nobody has solved how a normal person tells it what they want.”
Introducing Canto, Wispr’s Proprietary Speech Model
Alongside the financing announcement, Wispr previewed Canto, its first in‑house speech‑recognition model. Chief executive Tanay Kothari claimed the model reduces error rates in noisy environments—from over 30 % of words mis‑transcribed to a range of 5 %‑10 %. In everyday conditions, the company says the error rate already sits around 10 %.
TechCrunch reported that some users had noticed a dip in transcription quality in recent weeks, prompting Wispr to accelerate development of Canto as a corrective measure. The new model aims to close the gap that makes dictation unreliable for heavy accents, background music, wind or other interference.
Wispr says revenue has grown more than 150 % each quarter for the past four quarters, a figure Menlo translates into “over 30 times year‑on‑year.” Cerity Partners’ Michael Ashley Schulman cautioned that such triple‑digit growth on a small base can be difficult to sustain once early adopters stop driving the bulk of sales.
Founders Tanay Kothari and Sahaj Garg, who met in a Stanford freshman dorm, launched Wispr in 2021 after experimenting with wearables and silent‑speech interfaces. Their first product, Flow, arrived about two years ago and now serves millions of consumer users in 162 countries and more than 100 languages. Reported enterprise adoption figures vary: Fortune cites 100,000 businesses, Menlo mentions “tens of thousands,” and Reuters notes “more than 10,000 enterprises.” The company lists high‑profile customers such as Microsoft, Amazon, Notion, Klarna, Groupon, Rivian, Vercel and Mercury.
Competition is fierce. Apple, Google, Microsoft, Anthropic and OpenAI all develop voice‑input features, while smaller players like Willow, Monologue, Aqua and Superwhisper chase niche markets. Wispr differentiates itself by charging for usage beyond a free tier of 2,000 words per week and offering Pro, Team and Enterprise plans that meet SOC 2 Type II, ISO 27001 and HIPAA standards. Its “Privacy Mode” keeps dictation data out of training sets.
In July, Wispr opened a research lab under Ariya Rastrow, an early Amazon Alexa engineer. The lab’s mission is to replace the traditional speech‑to‑text‑then‑model pipeline with a “voice‑to‑outcome” architecture, a concept Menlo describes as the next step in conversational AI.
Wispr’s backers include Notable Capital, NEA, Neo Ventures, 8VC, Acrew, Forerunner, Goodwater, Peak XV, Together Fund and PLUS Capital. Fortune also reported that athletes Joe Burrow, Shaun White, Klay Thompson and Paul George participated in the round.
The funding comes at a busy time for voice‑tech investors. Earlier this year, Bland raised $50 million and Fish Audio secured $52 million. ElevenLabs, a more mature player, is reportedly generating about $600 million in revenue, a benchmark Wispr will be measured against as it scales.
Whether Wispr’s valuation proves justified hinges on two factors. First, Canto must deliver the promised error‑rate improvements; a 30 % miss rate in noisy settings is too high for users to form lasting habits. Second, the company must sustain its rapid revenue growth as it moves beyond early‑stage adopters to a broader enterprise base. The next 12‑month period will test both the technology and the business model.
Este artículo fue escrito con la asistencia de IA.
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