Its platform is designed for tasks including speech enhancement, noise suppression, and model training. Companies can also use it to evaluate how voice systems perform under different acoustic conditions before shipping a product.
Treble is applying the same technology to hardware development. The platform can simulate factors such as room acoustics, device placement, how a wearable is positioned, and background noise. That allows teams working on headphones, speakers, smart speakers, smart glasses, and other voice-enabled devices to test designs virtually.
“Audio AI is really a data challenge, and this is where the most opportunities to enable next-generation models and hardware lie. To date, pretty much all sound-related AI has been made from recordings and data scraped from the internet. We believe that accurate physics simulation can be an alternative way to create data for sound,” co-founder Finnur Pind told TechCrunch.
Treble also evaluates voice AI models and has worked with Hugging Face on a benchmark for testing speech recognition systems across realistic conditions. The company says its simulation technology runs more than 100 times faster than existing approaches.
Amazon and Logitech are among Treble’s customers.
The startup is also expanding into areas where sound processing is becoming more important, including robotics, automotive systems, drones, and wearable devices. One area of interest is technology that helps users isolate particular voices or sounds in noisy environments.
“I’m really excited about the next generation of these devices like headphones and smart glasses that can enable superhuman hearing. That’s an area where you can really just hear better in challenging acoustic environments. Maybe you are in a restaurant, and you only want to hear people within two meters of range, or you are in a seminar, and want to mute people around you,” Pind said.
Treble was founded in 2020 by acoustic engineers Pind and Jesper Pedersen. The company previously raised $12 million in 2024.
Its latest funding gives the startup more capital to push its simulation technology into both AI software and physical devices, where developers increasingly need to test how voice and sound systems behave outside controlled environments.
This analysis is based on reporting from Softonic.
Image courtesy of Treble.
This article was generated with AI assistance and reviewed for accuracy and quality.
