London-based audio technology start-up Bronze, which specializes in AI-assisted music tools, has closed a $1.3 million pre-seed round.
The company’s investors include Disclosure, Arca, Jimmy Napes, DAO Jones, Method Music and September Management.
Founded by record producer Lex Dromgoole and songwriter/composer Gwilym Gold, Bronze has also collaborated with XL Recordings, Oscar-winning sound-designer Nicolas Becker and musicians Arca and Jai Paul.
Bronze says it will be moving to seed in 2024, along with the beta launch of its music creation tool, which the company says already has over a thousand artists on the waiting list.
Bronze offers a range of technologies centered around what it calls “a transformational sound format” that allows for a piece of music to be released as a generative, interactive or personalized experience.
The company says that its “powerful audio engine” is already being licensed by platforms to “produce experiences beyond traditional recordings” that are “better suited” to new and emerging environments such as gaming, AR, VR and more.
Following projects with A24 Films, MoMA & Richie Hawtin, in December Bronze recently announced their latest project, a collaboration with electronic music duo Disclosure, in partnership with Beatport.
Using Bronze’s technology, Disclosure created a model of their recent single Simply Won’t Do allowing them to capture 1,000 unique versions of the track instantaneously.
These are being released exclusively via the Beatport platform in 1,000 unique digital editions, each with an accompanying generative artwork.
WE ARE DEVELOPING INTUITIVE AND CODE-FREE WAYS FOR CREATORS TO TRAIN ON THEIR OWN IP TO PRODUCE PERSONALIZED, CONTEXTUALLY AWARE MODELS THAT ARE UNIQUE TO THEM.”
LEX DROMGOOLE
Bronze says that what differentiates its platform from many in the space is what it calls “training in context”.
Founder Lex Dromgoole said: “Many companies are currently training models on unlicensed music – instead, we are developing intuitive and code-free ways for creators to train on their own IP to produce personalized, contextually aware models that are unique to them”
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