How does it work?

Waveshaper has a family of deep neural network architectures designed to learn how to do accoustic signal processing. Our neural networks essentially listen to the way audio is processed traditionally by hardware and software systems, and then learns to approximate a function that is perceptually indistinguishable.

Waveshaper has developed an audio inference engine that takes raw audio as input,

What’s wrong with audio?

Recreating classic sounds in music

Waveshaper technology can learn how to recreate the sound of analog hardware gear that is well-loved by musicians.

Repair historical recordings

Improve audio without specialized hardware

Podcasters, streamers