Tech
Fish Audio raises $52M seed to build AI voice models for creators and enterprises
The market for AI-generated voice models is massive. Creative use cases require AI voice models to be more expressive, while enterprises looking to automate customer support and sales ops need them to be more steerable.
Palo Alto-based Fish Audio wants to cater to all of those use cases with its library of more than 15,000 natural language controls. Since launching last year, the startup now has more than 8 million people using the open-source or hosted versions of its models, and generates annual recurring revenue of $21 million.
To continue building on that traction, the startup on Tuesday said it has raised $52 million in a seed round that was led by Coreline Ventures and Capital Today. The funding also saw participation from 359 Capital, Parable, Play Time, Alphalist Partners, Bayhouse Ventures, Carya Venture Partners, and HF0.
Fish Audio started as a small project by former NVIDIA researcher Shijia Liao, who, frustrated by non-expressive synthetic voices available on the market, trained a voice generation model on a single GPU, which he then open-sourced. The Fish Speech repository on GitHub now has more than 31,000 stars and is used by indie developers, video game designers, and creators.
The company has launched five models in the last year: four speech generation models and one speech-to-text model. It has open-sourced three of its speech generation models, but its latest S2.1 Pro model is available only through its paid API.
Fish Audio offers paid monthly plans suited for creators and teams that unlock a set number of minutes of generation plus voice cloning features. The company also offers an enterprise version of its APIs and platform, and says organizations like HeyGen and Sanas are already using it.
“Every enterprise has different use cases and different preferences. For example, companies like HeyGen, which use our voices to power AI avatars, want realism in voices; a gaming studio would want expressive voices for their characters; and voice agent companies like LiveKit want more natural-sounding and low-latency voices that are expressive enough for calls,” Cao said.
One way the startup has built its library of voices is by asking users to submit their own voices for training its models, and compensating them if their voices are used. That resulted in some trouble a few months ago, however, as some creators alleged that their voices were uploaded to Fish Audio without their consent. The startup had a DMCA takedown process in place to address such concerns, but the takedowns themselves took a long time.
Fish Audio’s CEO and co-founder Rissa Cao told TechCrunch that the company has now automated the takedown process. Creators can submit a short voice sample or a contract to prove that an uploaded voice belongs to them, and their voice will be taken off the startup’s platform in less than three minutes, she said.
Still, that doesn’t prevent anyone from uploading an artist’s voice without their knowledge. And until the artist finds out, their voice will continue to be used on the platform unless they file for its removal.
Osuke Honda, a partner at Coreline Ventures, said a community-driven model only works when creators trust the platform.
“A community-centric approach can only become a durable advantage if creators trust the platform. That means consent, transparency, and attribution must be built into the product rather than treated as afterthoughts. I believe the industry needs to move toward verified voice ownership, clear licensing terms, easy reporting and takedown processes, and eventually revenue-sharing models where creators benefit financially when their voices are licensed or used commercially,” he said.
Cao said when the startup was only offering its product as an open-source project with plans for creators, it was running efficiently and didn’t need outside capital. But it wanted to develop more advanced models, and also wanted to accommodate enterprises as investor interest was ramping up, which led it to seek capital.
Looking ahead, Fish Audio plans to release an audio understanding model this year. It’s also building a speech-to-speech model.
The speech generation market is crowded, with companies like ElevenLabs, WellSaid, Cartesia, Speechify, Async (previously Podcastle), and Krisp competing for creators and enterprises’ budgets.
According to Rico Mallozzi, a partner at 359 Capital, fine-grained controls for developers and cost-efficient model training will help Fish Audio compete better with big AI labs.
“I think what they’ve been able to build, state-of-the-art models, with the team they have, compared to some of these other well-funded AI labs or companies, is incredible. It shows their technical acumen in closing the gap between artificial-sounding and human-like voices,” Mallozzi told TechCrunch over a call.
The story has been updated to reflect that the company raised $52 million in the seed round.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
Tech
Cursor makes its biggest India push yet ahead of SpaceX acquisition with localized pricing
Weeks before its expected acquisition by SpaceX closes, AI coding startup Cursor is making its biggest push into India yet, launching its first country-specific subscription as the company bets on one of the world’s largest developer markets to drive its next stage of growth.
On Monday, the startup introduced Cursor Start, a ₹649-a-month (about $7) subscription built specifically for India — and priced well below Cursor’s standard $20-a-month Pro subscription.
The move reflects India’s growing importance to Cursor’s business. The startup says India is already its third-largest market globally and home to its highest concentration of power users, with its user base in the country more than tripling over the past year.
That scale, coupled with India’s deep pool of software engineering talent, made it the first market where Cursor chose to localize pricing, Simon Green, Cursor’s head of Asia-Pacific and Japan, told TechCrunch. “We felt that we had an opportunity there to right-size the commercial model and drive scale,” Green said. “The technical competency of the country and the engineering talent that already exists make it a very natural fit.”
India has emerged as one of the world’s largest software developer hubs. Earlier this year, GitHub said that the country has more than 27 million developers on its platform, second only to the U.S., with more than two million joining in 2026 alone.
Cursor Start includes access to Cursor’s Composer 2.5 model and Grok 4.5, with higher usage limits than the free tier, alongside cloud agents, its iOS app, plugins, Model Context Protocol support, hooks, and skills. The startup said the plan is aimed at developers who need more AI-assisted coding capacity than the free tier offers without upgrading to its full Pro subscription.
The lower-priced plan is intended to broaden access rather than replace Cursor’s flagship offering, Green said. Unlike the $20-a-month Pro subscription, Start does not include access to frontier AI models from providers such as OpenAI and Anthropic, or advanced features including Bugbot, Auto Mode, Automations, and the Cursor SDK.
The plan is billed in Indian rupees and supports payments through credit and debit cards as well as India’s Unified Payments Interface (UPI).
Green told TechCrunch that Cursor would use multiple checks to ensure the India-only subscription is available only to individual users in the country, including measures to deter people from accessing the plan through virtual private networks (VPNs).
Cursor is not alone in tailoring its pricing for India. OpenAI and Anthropic have also rolled out India-specific plans over the past year as global AI companies compete for users in one of the world’s fastest-growing AI markets.
While Cursor Start is initially limited to India, Green told TechCrunch that the startup could expand localized pricing to other markets if the model proves successful.
“We will continue to do everything we can to fuel the demand and serve those clients that are using us,” Green said. “Now, if this model proves that we could take it to other markets, perhaps we will. But I think it’d be crazy to say we would never do it elsewhere.”
OpenAI provides one precedent for this strategy, having launched its sub-$5 ChatGPT Go in India before expanding the lower-priced subscription to other markets.
In addition to the localized pricing strategy, Cursor is also expanding its presence in India through new hires. Green told TechCrunch that the startup recently hired its first salesperson in India and expects another leader to join in Delhi. The company is also building out its a government affairs office, alongside three technical customer support hires, as it expands its presence in Bengaluru, Chennai, Hyderabad, and Mumbai.
Cursor’s enterprise push is still in its early stages in India, Green said, where adoption has so far been driven largely by individual developers, startups, and universities. He said Cursor sees significant opportunities in sectors including banking and large enterprises as it expands its local sales efforts.
Green said, the India-specific pricing was designed to be commercially sustainable rather than a loss leader. He said the lower-priced plan is viable because it is built around Cursor’s own AI models, which carry lower operating costs than relying primarily on third-party frontier models.
Cursor’s India expansion comes a little over a month after Elon Musk’s SpaceX agreed to acquire the AI coding startup in a $60 billion all-stock deal, following SpaceX’s blockbuster initial public offering. The acquisition is expected to close in Q3. However, SpaceX has been partnered with Cursor since April to develop a next-generation “coding and knowledge work AI.”
Green said Cursor will continue to operate independently until the transaction closes and that the company’s India expansion plans were already in motion before the deal. Once the acquisition closes, however, Green said SpaceX’s existing presence in India through Starlink could help Cursor expand faster by lowering commercial and operational barriers.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
Tech
Lyft and Baidu enter London’s robotaxi battleground as testing begins
Chinese tech giant Baidu has started testing autonomous vehicles in London as part of its partnership with Lyft and Freenow, the German taxi and multi-mobility app that Lyft now owns. Baidu is the latest in a string of companies to test self-driving technology in the UK ahead of commercial robotaxi deployments.
The testing, which began Tuesday with human safety operators, comes nearly a year after the two companies struck a strategic partnership to deploy Baidu’s purpose-built Apollo Go RT6 robotaxi across key European markets through the Lyft platform. The vehicles will eventually be available through Freenow, which Lyft acquired in 2025 for about $197 million.
That deal gave Lyft a foothold in Europe’s ride-hailing market, where a handful of well-funded companies are now jockeying to be first to market with robotaxis.
London is particular is shaping up to be a key battleground in the region. In April, Waymo began testing its autonomous vehicles with human safety operators in the city. Uber and its self-driving tech partner, Wayve, also announced plans to launch a robotaxi service in London this year. That initial service — which customers can now sign up for on an interest list — will have human safety operators behind the wheel before fully driverless operations begin later.
Baidu and Freenow by Lyft (as the latter service is now called) said they expect to invite the public to hail their robotaxis in 2027. The companies, which didn’t provide a more detailed timeline, noted that the launch will depend on regulatory approval.
For now, dozens of test vehicles will operate within London’s borough of Brent. Lyft and Freenow said they continue discussions with safety and city officials, including Transport for London (TfL) and the Centre for Connected and Autonomous Vehicles (CCAV). The UK government is in the process of creating autonomous vehicle regulations and opened applications in May for companies interested in an AV pilot program that lets companies test self-driving vehicles under government oversight.
When the service does launch, Freenow by Lyft said it will operate a hybrid network — employing the same language rival Uber has used — meaning human drivers operating taxis and private-hire vehicles will work alongside the robotaxis.
“As a platform with deep roots in the taxi industry, our priority is ensuring that autonomous technology supports the professional drivers who keep London moving,” Thomas Zimmermann, CEO of Freenow by Lyft, said in a statement.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
Tech
Granola launches an Apple Watch app
AI note-taking app Granola is launching an app for the Apple Watch in hopes that its users will want to record meetings and take notes without using their smartphones.
Users can set the Granola app as one of the watch faces to start transcribing at any time. The app can also surface reminders about upcoming meetings, and works with the iOS app, which launched last year.
The company’s co-founder, Chris Pedregal, told TechCrunch that the Apple Watch app is meant to be a way to capture in-person meetings without having to take your phone out of your pocket — for example, if someone is having a walking one-on-one meeting.
When Granola tested its app with employees who had Apple Watches, a big chunk of their mobile usage switched from iOS to the Watch, the company said.
In the past year, companies have released auxiliary devices that can be used with smartphones to record and transcribe meetings. Granola said it considered it easier to develop an app for Apple Watches rather than integrate with another hardware product at this point. Dictation app Monlogue earlier this year also added support for meeting note-taking, for both online and offline modalities, along with Apple Watch support.
Granola became a unicorn earlier this year with a $125 million Series C round that was led by Index Ventures.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
