Iceland’s Treble Secures $18 Million for Voice Simulation Platform
Voice AI has become one of the most dynamic sectors in artificial intelligence, attracting billions in investment to power applications ranging from automated customer support and sales calls to meeting assistants and voice-first smart glasses.
As AI labs rapidly deploy new models, hardware manufacturers are simultaneously striving to deliver seamless consumer experiences for interacting with these devices.
This technological surge requires rigorous testing and continuous feedback loops. Iceland-based startup Treble aims to anchor the voice AI ecosystem by building a simulation platform tailored for model developers, robotics firms, and consumer electronics makers.
Founded in 2020 by acoustic engineers Finnur Pind and Jesper Pedersen, Treble has secured $18 million in a Series A extension led by Paladin Capital Group, with participation from KOMPAS VC, Frumtak Ventures, EIC, and Omega ehf. Following a $12 million injection in 2024, the company’s total funding now exceeds $40 million. Its client roster includes industry giants Amazon and Logitech.

Treble co-founder Finnur Pind Image Credits: Treble Image Credits:Treble
Treble’s offerings span simulation and data services. For voice AI developers, it provides a synthetic data generation platform designed for speech enhancement, noise suppression, and model training. The company also evaluates voice AI models under various conditions to offer actionable insights to labs. Earlier this year, Treble collaborated with Hugging Face to introduce a benchmark for speech recognition models across diverse, realistic scenarios.
“Audio AI is fundamentally a data challenge, representing the greatest opportunity for next-generation models and hardware. Historically, sound-related AI has relied on internet-scraped recordings. We believe accurate physics simulation offers a superior alternative for generating sound data,” Pind explained to TechCrunch.
The startup also specializes in voice-centric hardware design and testing. It partners with headphone and speaker manufacturers for virtual prototyping to predict acoustic performance. Additionally, it assesses how smart speakers interpret commands based on device placement. Recently, Treble has expanded into simulation testing for smart glasses and other AI wearables.
Pind noted the company’s enthusiasm for developing wearables that augment human hearing.
“I am particularly excited about the next generation of headphones and smart glasses capable of enabling superhuman hearing. These devices can significantly improve audio clarity in challenging acoustic environments, such as isolating voices within a two-meter radius in a busy restaurant or muting background noise during a seminar,” he said.
Treble plans to deepen its involvement in physical AI, including robotics, automotive, and drone sectors, by providing sound-based functionality through advanced testing and simulation.
Francois Ruether, VP at Paladin Capital Group, highlighted Treble’s unique platform that simulates various models and devices, noting its growing relevance as it expands into new domains.
“Our thesis is that as more products rely on sound understanding, this infrastructure becomes increasingly vital across voice AI, wearables, robotics, and physical AI. Customers maintain ownership of their models, products, and workflows while leveraging a shared, simulation-native acoustic infrastructure layer,” Ruether stated.
Related article
Google rolls out voice-based prompts in Docs and Keep
At the Google I/O developer conference, the company announced it's introducing voice-based prompting to Workspace apps like Docs, Keep, and Gmail. These capabilities let users create drafts, take notes, and search for emails using voice.In Docs, you
Ex-Goldman, Meta founders build voice AI for overlooked markets
Customer support and service are among the hottest areas in voice AI today. But building a product that sounds human and responds with minimal delay is far more challenging in some markets than in others — and most major players weren’t designed with
Google quietly launches offline-first AI dictation app on iOS
Google quietly released an offline-first dictation app, Google AI Edge Eloquent, on iOS this Monday, competing with Wispr Flow, SuperWhisper, Willow, and similar apps.The app is free to download. After downloading its Gemma-based automatic speech rec
Related Special Topic Recommendations
Comments (0)
0/500
Voice AI has become one of the most dynamic sectors in artificial intelligence, attracting billions in investment to power applications ranging from automated customer support and sales calls to meeting assistants and voice-first smart glasses.
As AI labs rapidly deploy new models, hardware manufacturers are simultaneously striving to deliver seamless consumer experiences for interacting with these devices.
This technological surge requires rigorous testing and continuous feedback loops. Iceland-based startup Treble aims to anchor the voice AI ecosystem by building a simulation platform tailored for model developers, robotics firms, and consumer electronics makers.
Founded in 2020 by acoustic engineers Finnur Pind and Jesper Pedersen, Treble has secured $18 million in a Series A extension led by Paladin Capital Group, with participation from KOMPAS VC, Frumtak Ventures, EIC, and Omega ehf. Following a $12 million injection in 2024, the company’s total funding now exceeds $40 million. Its client roster includes industry giants Amazon and Logitech.

Treble co-founder Finnur Pind Image Credits: Treble Image Credits:Treble
Treble’s offerings span simulation and data services. For voice AI developers, it provides a synthetic data generation platform designed for speech enhancement, noise suppression, and model training. The company also evaluates voice AI models under various conditions to offer actionable insights to labs. Earlier this year, Treble collaborated with Hugging Face to introduce a benchmark for speech recognition models across diverse, realistic scenarios.
“Audio AI is fundamentally a data challenge, representing the greatest opportunity for next-generation models and hardware. Historically, sound-related AI has relied on internet-scraped recordings. We believe accurate physics simulation offers a superior alternative for generating sound data,” Pind explained to TechCrunch.
The startup also specializes in voice-centric hardware design and testing. It partners with headphone and speaker manufacturers for virtual prototyping to predict acoustic performance. Additionally, it assesses how smart speakers interpret commands based on device placement. Recently, Treble has expanded into simulation testing for smart glasses and other AI wearables.
Pind noted the company’s enthusiasm for developing wearables that augment human hearing.
“I am particularly excited about the next generation of headphones and smart glasses capable of enabling superhuman hearing. These devices can significantly improve audio clarity in challenging acoustic environments, such as isolating voices within a two-meter radius in a busy restaurant or muting background noise during a seminar,” he said.
Treble plans to deepen its involvement in physical AI, including robotics, automotive, and drone sectors, by providing sound-based functionality through advanced testing and simulation.
Francois Ruether, VP at Paladin Capital Group, highlighted Treble’s unique platform that simulates various models and devices, noting its growing relevance as it expands into new domains.
“Our thesis is that as more products rely on sound understanding, this infrastructure becomes increasingly vital across voice AI, wearables, robotics, and physical AI. Customers maintain ownership of their models, products, and workflows while leveraging a shared, simulation-native acoustic infrastructure layer,” Ruether stated.
Google rolls out voice-based prompts in Docs and Keep
At the Google I/O developer conference, the company announced it's introducing voice-based prompting to Workspace apps like Docs, Keep, and Gmail. These capabilities let users create drafts, take notes, and search for emails using voice.In Docs, you
Ex-Goldman, Meta founders build voice AI for overlooked markets
Customer support and service are among the hottest areas in voice AI today. But building a product that sounds human and responds with minimal delay is far more challenging in some markets than in others — and most major players weren’t designed with
Google quietly launches offline-first AI dictation app on iOS
Google quietly released an offline-first dictation app, Google AI Edge Eloquent, on iOS this Monday, competing with Wispr Flow, SuperWhisper, Willow, and similar apps.The app is free to download. After downloading its Gemma-based automatic speech rec





Home






