Skip to main content

Serenade snags $2.1M seed round to turn speech into code

Several years ago Serenade co-founder Matt Wiethoff was a developer at Quora when he was diagnosed with a severe repetitive stress injury to his hand and couldn’t code. He and co-founder Tommy MacWilliam decided to use AI to create a tool that let him speak the code instead and Serenade was born.

Today, the company announced a $2.1 million seed investment led by Amplify Partners and Neo. While it was at it, the startup also announced the first commercial version of the product, Serenade Pro.

“Serenade is an app that you’ll download onto your computer. It will plug into your existing editors like Visual Studio Code or IntelliJ, and then allows you to speak your code,” co-founder MacWilliam told me. At that point the startup’s AI engine takes over and translates what you say into syntactically correct code.

He says that while there are a bunch of generalized speech-to-text engines out there, they hadn’t been able to find anything that was tuned specifically for the requirements of someone entering code. While it may seem that this would have a pretty narrow market focus, the co-founders see this use case as simply a starting point with developers using this kind of technology even when not injured.

“Our vision is that this is just the future of programming. With machine learning, coding becomes faster and easier than ever before, and our AI eliminates a lot of the rote mechanical parts of programming. So rather than needing to remember keyboard shortcuts or syntax details of a language, you can just focus on expressing your idea naturally, and then our machine learning takes care of translating that into actual code for you,” MacWilliam explained.

The startup has five employees today, but has plans to build the company to 15-20 in the next year fueled by the introduction of the commercial product and the new funding. As they build the company, MacWilliam says being diverse is a big part of that.

“Our diversity strategy ranges throughout the process. I think it starts at the top of the funnel. We need to make sure that we’re going out and reaching great people — there are great people everywhere and it’s on us to find them and convince them why working at Serenade would be great,” he said. They are working with a variety of sources to find a diverse group of candidates that stretches beyond their own personal network, then looking at how they interview and judge candidates’ skill sets with the goal of building a more diverse employee base.

The company sees itself as a way to move beyond the keyboard to speaking your code, and it intends to use this money to continue building the product, while building a community of dedicated users. “We’ll be thinking about how we can showcase the value of coding by voice, how we can put together demos and build a community of product champions showing that [it’s faster to code using your voice],” he said.



from TechCrunch https://ift.tt/3lSAcEN
via IFTTT

Comments

Popular posts from this blog

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

Billionaire clothing dynasty heiress launches Everybody & Everyone to make fashion sustainable

Veronica Chou’s family has made its fortune at the forefront of the fast fashion business through investments in companies like Michael Kors and Tommy Hilfiger . But now, the heiress to an estimated $2.1 billion fortune is launching her own company, Everybody & Everyone , to prove that the fashion industry can be both environmentally sustainable and profitable. There’s no argument about the negative impacts of the fashion industry on the environment. The textiles industry primarily uses non-renewable resources — on the order of 98 million tons per year. That includes the oil to make synthetic fibers, fertilizers to grow cotton, and toxic chemicals to dye, treat, and produce the textiles used to make clothes. The greenhouse gas footprint from textiles production was roughly 1.2 billion tons of CO2 equivalent in 2015 — more than all international flights and maritime shipments combined (and a lot of those maritime shipments and international flights were hauling clothes). The lit...