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Home » AI News » Iceland-based Treble raises $18 million for its voice simulation platform
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AI News

Iceland-based Treble raises $18 million for its voice simulation platform

CryptoAINewsBy CryptoAINewsSeptember 17, 2026No Comments4 Mins Read
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Voice AI has emerged as one of many hottest sectors in AI, with buyers pouring in billions of {dollars} to serve use circumstances starting from automating buyer assist and gross sales calls to creating assembly notetakers and creating AI good glasses that use voice as the first interplay floor.

In the meantime, AI labs are shortly releasing fashions, and {hardware} makers are attempting to create the most effective expertise for customers to work together with units.

All of this new expertise wants testing and a suggestions loop for enchancment. An Iceland-based startup, Treble, is positioning itself to be on the heart of the voice AI business by making a simulation platform that may cater to mannequin makers, robotics firms, and shopper {hardware} makers.

The corporate, based in 2020 by acoustic engineers Finnur Pind and Jesper Pedersen, has raised $18 million in an extension of its Sequence A funding led by Paladin Capital Group, with participation from present buyers KOMPAS VC, Frumtak Ventures, EIC, and Omega ehf. It obtained an funding of $12 million in 2024, bringing its whole elevate thus far to over $40 million. The startup counts Amazon and Logitech as clients.

Treble co-founder Finnur Pind Picture Credit: Treble Picture Credit:Treble

Treble has a number of verticals associated to simulation and knowledge. For voice AI firms, it has an artificial knowledge era platform that may very well be used for speech enhancement, noise suppression, and mannequin coaching. It additionally evaluates voice AI fashions in several situations to offer suggestions to labs. Earlier this 12 months, it partnered with Hugging Face to launch a benchmark for speech recognition fashions across different realistic conditions.

“Audio AI is known as a knowledge problem, and that is the place probably the most alternatives to allow next-generation fashions and {hardware} lie. Thus far, just about all sound-related AI has been constituted of recordings and knowledge scraped from the web. We imagine that correct physics simulation will be an alternate approach to create knowledge for sound,” Pind informed TechCrunch.

The startup additionally focuses on {hardware} design and testing from a voice perspective. For example, it really works with headphone and speaker firms for digital prototyping to assist them perceive how their product may sound. It might additionally check how a wise speaker can perceive instructions based mostly on the positioning of the speaker. These days, Treble has ventured into offering simulation testing for good glasses and AI units.

Pind stated that the corporate is worked up to work on wearables that might improve listening to for customers.

“I’m actually excited concerning the subsequent era of those units like headphones and good glasses that may allow [a feature like] superhuman listening to. That’s an space the place you may actually simply hear higher in difficult acoustic environments. Possibly you might be in a restaurant, and also you solely wish to hear folks inside two meters of vary, or you might be in a seminar, and wish to mute folks round you,” he stated.

Treble goals to extend its focus within the bodily AI house, together with robotics, automotive, and drone firms, to allow sound-based features for them via testing and simulation.

Francois Ruether, VP of Paladin Capital Group, informed TechCrunch that Treble’s platform, which simulates totally different fashions and units, stands out; the platform’s significance will enhance because it will get concerned in additional areas.

“Our thesis is that, as extra merchandise depend upon understanding sound, this infrastructure turns into more and more priceless throughout voice AI, wearables, robotics, and bodily AI. Prospects retain possession of their fashions, merchandise, and improvement workflows, whereas benefiting from a shared basis of a simulation-native acoustic infrastructure layer,” Ruether stated.

While you buy via hyperlinks in our articles, we may earn a small commission. This doesn’t have an effect on our editorial independence.



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