Treble raises $18M to scale acoustic simulation for physical AI

Treble Technologies, a provider of sound simulation and synthetic acoustic data solutions, has secured $18 million in a Series A-2 funding round to bolster its technology aimed at developing and testing audio-enabled products and AI systems. The Series A-2 round was led by Paladin Capital Group, with participation from existing investors KOMPAS VC, Frumtak Ventures, and the European Innovation Council (EIC) Fund. This brings Treble's total funding to €36 million to date.

As voice and sound interfaces gain prominence between users and intelligent devices, Treble's technology becomes increasingly crucial. Traditional development of physical AI and world models has primarily focused on vision and touch, but audio-enabled systems must also recognize and interpret sound in various physical conditions, such as background noise, room configurations, and microphone placement differences.

These challenges amplify when devices move through their environments, particularly with wearables, head-mounted devices, humanoid robots, and autonomous vehicles.

Treble's solution involves physics-based acoustic modeling to simulate sound propagation through physical spaces. The platform integrates acoustic simulation, digital twins, and synthetic data generation, enabling developers to recreate conditions across diverse rooms, materials, vehicles, devices, speakers, and ambient sound environments.

This empowers developers to create digital acoustic replicas of real-world settings to assess product or AI model performance before creating physical prototypes or conducting extensive recording sessions.

Treble's approach promises to cut prototype testing and audio data collection time from months to days. Additionally, it aids developers in enhancing audio AI model performance and robustness, as well as discovering new product features. According to Finnur Pind, Treble's co-founder and CEO, the technology offers device manufacturers a scalable method for modeling complex acoustic conditions, generating training and testing data, and evaluating product performance in end-use environments.

The recent funding will enable Treble to further refine its simulation and synthetic data platform and expand its application across audio-enabled consumer and enterprise products. The company also intends to intensify its focus on physical AI applications, as voice and audio interfaces continue to gain traction in intelligent machines.