Iceland’s Treble Raises $18M for Voice Simulation Platform

Voice AI has rapidly become one of the most lucrative sectors in technology, attracting billions in investment as companies race to build systems for customer service automation, sales assistance, and next-generation hardware like smart glasses. As AI labs release new models and hardware manufacturers strive to optimize consumer interaction, a critical need has emerged for rigorous testing and feedback loops to improve these technologies. An Iceland-based startup named Treble is addressing this gap by developing a simulation platform designed to serve model creators, robotics firms, and consumer electronics makers.

Founded in 2020 by acoustic engineers Finnur Pind and Jesper Pedersen, Treble recently secured an additional $18 million in its Series A funding round. This extension was led by Paladin Capital Group, with participation from existing backers including KOMPAS VC, Frumtak Ventures, EIC, and Omega ehf. Combined with a $12 million injection in 2024, the company has now raised over $40 million. Its growing portfolio includes notable clients such as Amazon and Logitech.

The startup offers specialized verticals in simulation and data generation. For voice AI developers, Treble provides synthetic data tools for speech enhancement, noise suppression, and model training. It also evaluates how models perform under various conditions to offer actionable insights to research teams. Earlier this year, the company collaborated with Hugging Face to introduce a benchmark for speech recognition across realistic scenarios.

“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,” Pind told TechCrunch.

Beyond software, Treble assists hardware designers by virtually prototyping audio experiences. The company helps headphone and speaker manufacturers predict how their products will sound and tests how smart speakers interpret commands based on physical placement. Recently, Treble has expanded into simulating performance for smart glasses and other wearable devices.

Pind expressed enthusiasm for the potential of wearables to enhance human hearing capabilities.

“I’m really excited about the next generation of these devices like headphones and smart glasses that can enable [a feature like] 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,” he said.

Looking ahead, Treble plans to deepen its involvement in physical AI, targeting the robotics, automotive, and drone industries to support sound-based functionalities through advanced simulation. Francois Ruether, VP of Paladin Capital Group, highlighted the strategic value of this approach.

“Our thesis is that, as more products depend on understanding sound, this infrastructure becomes increasingly valuable across voice AI, wearables, robotics, and physical AI. Customers retain ownership of their models, products, and development workflows, while benefiting from a shared foundation of a simulation-native acoustic infrastructure layer,” Ruether said.