Treble, the Icelandic startup behind voice simulation software, said today that it has raised $18 million in a Series A extension from Paladin Capital Group, KOMPAS VC, Frumtak Ventures, EIC, and Omega ehf. That brings its total funding to more than $40 million, following a $12 million investment in 2024. The company pitches its physics-based platform as foundational infrastructure for speech systems, robots, and connected devices. The idea is to model speech in real-world spaces, not scraped internet recordings, so teams can deal with the data problems that show up in noisy conditions.
Treble generates synthetic data for speech enhancement, noise suppression, and model training. It also gives companies a way to test performance before a product ships. On top of that, the platform can be used to prototype headphones, speakers, smart speakers, smart glasses, and other voice hardware by simulating room placement, how the device is worn, and the kind of background noise it will have to handle.
The company also says it’s picking up momentum. Amazon and Logitech are listed as customers, Treble has teamed up with Hugging Face on a more realistic speech-recognition benchmark, and Treble says its simulation runs more than 100 times faster than existing approaches.
If you’re building always-on voice products, this looks like a company to keep an eye on. Market forecasts put the sector at $3.6 billion in 2023 and $21.8 billion by 2030, with particular interest around wearables that can isolate voices in places like restaurants or seminars, even as bias, privacy, deepfake, and fraud concerns hang over the category.
You can find Treble on the company’s website.
Author: Jesús Pina
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"es-ES": "Jesús Pina sigue lo que la inteligencia artificial está cambiando de verdad en el software que usamos cada día, separando lo que ya funciona de lo que por ahora solo es un anuncio. Le interesa el efecto práctico: qué herramienta ahorra tiempo real, cuál se queda a medias y cuál conviene mirar dos veces antes de instalarla. Trabaja a diario con modelos de IA dentro del propio proceso editorial de Softonic, así que conoce bastante bien sus límites.",
"fr-FR": "Jesús Pina suit ce que l'intelligence artificielle change réellement dans les logiciels du quotidien, en distinguant ce qui fonctionne déjà de ce qui n'est encore qu'une annonce. Ce qui l'intéresse, c'est l'effet pratique : quel outil fait gagner du temps, lequel s'arrête à mi-chemin et lequel mérite un second examen avant installation. Il travaille au quotidien avec des modèles d'IA au cœur du processus éditorial de Softonic, et connaît donc assez bien leurs limites.",
"it-IT": "Jesús Pina segue ciò che l'intelligenza artificiale sta davvero cambiando nel software di ogni giorno, distinguendo quello che già funziona da quello che per ora è solo un annuncio. Gli interessa l'effetto pratico: quale strumento fa risparmiare tempo, quale si ferma a metà e quale conviene guardare due volte prima di installarlo. Lavora ogni giorno con modelli di IA dentro il processo editoriale di Softonic, e per questo ne conosce bene i limiti.",
"nl-NL": "Jesús Pina volgt wat kunstmatige intelligentie echt verandert aan de software die we dagelijks gebruiken, en scheidt daarbij wat al werkt van wat nog slechts een aankondiging is. Wat hem interesseert is het praktische effect: welke tool echt tijd bespaart, welke halverwege blijft steken en welke je beter twee keer bekijkt voordat je hem installeert. Hij werkt dagelijks met AI-modellen binnen het redactieproces van Softonic en kent daardoor hun grenzen vrij goed.",
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"pt-BR": "Jesús Pina acompanha o que a inteligência artificial está realmente mudando nos programas que usamos todos os dias, separando o que já funciona do que ainda é apenas anúncio. O que lhe interessa é o efeito prático: qual ferramenta economiza tempo de verdade, qual para no meio do caminho e qual merece uma segunda olhada antes de instalar. Trabalha diariamente com modelos de IA dentro do próprio processo editorial da Softonic, e por isso conhece bem seus limites."
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