This article covers Mozart AI, an AI startup that has raised £4.4m in a seed funding round to accelerate development of its Generative Audio Workstation and mobile app. The proceeds will support product development and hiring, aiming to make AI-assisted music production more accessible to artists and creators.
Mozart AI, an AI startup based in London, has raised £4.4m in a seed funding round to accelerate development of its Generative Audio Workstation and newly launched mobile app. The cash will fund product development and hiring as the company seeks to make AI-assisted music production more accessible to artists and creators.
Music production tools have not changed as fast as the platforms that distribute music. Mozart AI is positioning itself as a modern alternative to legacy digital audio workstations by folding generative models and social features into the creative workflow. Early traction — more than 100,000 sign-ups in two months and over 1 million songs created during beta — suggests demand for tools that speed ideation and lower technical barriers for creators.
The product also raises practical questions about commercial use and rights. Mozart AI says it runs on commercially cleared third-party generative models, which, if accurate and maintained, matters for artists who want to release and monetise work created with AI assistance.
Mozart AI describes its core as a Generative Audio Workstation that supports both ground-up AI-assisted composition and prompt-driven, agentic music creation. Key capabilities include context-aware stem generation, real-time suggestions for MIDI progressions and drums, synth and effect generation, riffing and remixing of sounds into new styles, and automated handling of tasks such as quantisation and time stretching.
The company has added social and distribution features, including tools for creating short music videos and exporting material for streaming platforms. It also says its models are commercially cleared, citing ElevenLabs as a primary model provider whose training data is licensed, a detail intended to reassure users about rights to commercially release music.
Mozart AI’s £4.4m seed round was oversubscribed and led by Balderton Capital. Participants named in the announcement include Mercuri (an early-stage MediaTech VC), EWOR, Kevin Hartz (Eventbrite founder), Charles Ferguson (Oscar-winning director) and Emery Wells (Frame.io founder), alongside existing investors and strategic angels from music, AI and creator technology. The company previously raised about £806k in a pre-seed round earlier this year, taking total funding to roughly £5.1m to date.
The money will be used to grow the team, expand core technology and roll out premium features, including video creation. Investors flagged product-market fit and a founder team with both music and technical experience as reasons to back the business.
In the announcement, Daniel Waterhouse, General Partner at Balderton Capital said:
AI is impacting every industry, and music is no different. The companies that win will be those that work with and for musicians, not against them. That’s why we’re so excited about Mozart AI, whose exceptional founding team includes musicians, technologists, and serial entrepreneurs, with deep roots in the industry. Instead of being stunted by clunky and inaccessible legacy software, Mozart AI enables musicians and music enthusiasts to spend more time on the actual creative process, experimenting and iterating on their ideas with ease and speed. This team is building with exceptional focus and we’re excited to invest in the next generation of music technology.
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In the announcement, Sundar Arvind, CEO and co-founder of Mozart AI, said:
The creative process has always been integral to music-making and to music’s role in shaping global culture. Far from replacing creativity, AI is levelling up that adrenaline-filled process through which musicians compose and discover the right sounds. Mozart AI is building powerful generative tools for the next era of collaborative music creation that will enable every artist – from casual creators to professional producers – to turn any idea into a release-ready song in minutes, with commercial rights. We’re building toward a world where a spark of creativity – a guitar riff, a melody, an idea – can be transformed into a fully produced, monetisable song with a professional music video, without requiring technical knowledge or fragmented tools.
The company’s leadership mixes music and technical backgrounds. Sundar Arvind, formerly signed to a major label as a teenager, co-founded the company with Arjun Khanna (COO), who has a background in competitive mathematics and debate, and Pascual Merita Torres (CTO), who combines production, classical piano and AI research.
Producers and creators who tested the product provided perspective on workflow impact. In the announcement, Ash Pournori, producer, music executive and former manager of Swedish DJ Avicii, said:
The big winners in the music AI race will be the platforms that present themselves as tools rather than threats to creatives. There’s an opportunity for technology to amplify and enhance talent, allowing more people to make and publish meaningful music without detracting from an artist’s skill or originality.
In the announcement, Umair Ali, Kodak Black and Lil Baby’s Producer, said:
As a creative technologist and producer, Mozart Studio is one of the first AI music tools I’ve tried that actually accelerates ideation without flattening the creative process. It feels like an always-on sketchpad for hooks, melodies, and arrangement. It helps you get from a rough concept to something session-ready fast, then refine it like a real record.
Artists and producers credited on the platform include collaborators linked to A$AP Rocky, Avicii and Kodak Black, signalling early interest from established industry professionals as well as bedroom creators reportedly turning ideas into release-ready tracks.
Mozart AI joins a wave of creative AI products that aim to make specialist workflows accessible to a broader audience. Its emphasis on artist control and commercially cleared models is designed to address two common friction points for musicians: fear of losing ownership and uncertainty over whether AI-generated material can be used commercially.
The deal is another data point in growing interest from AI investors in creative tools that combine model access, workflow integration and distribution features. For UK and European creative tech, the funding suggests continued appetite for startups that bridge technical innovation and cultural production, particularly those based in London where talent, labels and capital intersect.
The company’s next challenge will be sustaining growth beyond viral beta usage and proving that AI-native workflows can produce commercially successful music at scale while maintaining clear rights and artist trust.
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