Treble raises $18M to expand acoustic simulation for physical AI
Treble Technologies, a company specialising in sound simulation and synthetic acoustic data, has raised $18 million in a Series A-2 funding round to expand its technology for developing and testing audio-enabled products and AI systems. The round was led by Paladin Capital Group, with existing investors KOMPAS VC, Frumtak Ventures, and the European Innovation Council (EIC) Fund also participating.
The latest investment brings Treble’s total funding raised to €36 million.
The funding comes as voice and sound become increasingly important ways for people to interact with intelligent devices. While much of the development of physical AI and world models has focused on vision and touch, audio-enabled systems also need to recognise and understand sounds in different physical environments. These include changes in background noise, room layouts, materials, and the position of microphones and devices.
The challenge is even greater for devices that move through different environments, including wearables, head-mounted devices, humanoid robots, and autonomous vehicles.
Treble’s technology uses physics-based acoustic modelling to simulate how sound behaves and travels through physical spaces. Its platform combines acoustic simulation, digital twins, and synthetic data generation to recreate different conditions involving rooms, materials, vehicles, devices, speakers, and ambient sounds.
The technology enables developers to create digital acoustic versions of real-world environments and test how products or AI models may perform before building physical prototypes or conducting large-scale recording programmes. Teams can generate labelled audio data, test scenarios that are difficult to reproduce in the real world, and compare different product configurations under controlled conditions.
According to Treble, its approach can reduce the time needed for prototype testing and audio data collection from months to days. The company says this can also help developers improve the performance and reliability of audio AI models while creating new features for sound-enabled products.
Audio and voice interaction is becoming a fundamental interface for the next generation of intelligent products, but the physical world is acoustically complex. AI models and devices that perform well in a laboratory can struggle when they encounter reverberation, background noise, or an unfamiliar physical environment,
said Finnur Pind, co-founder and CEO of Treble.
He added that Treble’s technology provides device manufacturers with a scalable way to simulate different real-world conditions, generate training and testing data, and assess how products are likely to perform in the environments where they will be used.
The new funding will support the further development of Treble’s simulation and synthetic data platform, while helping the company expand its technology across consumer and enterprise products that use audio. Treble also plans to increase its focus on physical AI applications as voice and sound become more widely used in intelligent machines.