engram

generative audio sampler

The first musical device powered by playable, breakable audio modeling.

Engram combines a traditional sampler-groovebox workflow with hands-on sample generation using audio model bending – like circuit bending, but for neural networks. Take control of Engram’s unique model bending parameters to push tiny audio models beyond their limits and discover expressive, uncanny new sounds to sample. Then slice, flip, and manipulate your samples to fit your creative process. Think old-school musique concrète techniques with a dose of modern technology.

No internet connection, app, or subscription service is required: everything runs on the Engram’s hardware. It’s immune to enshittification – built to outlast passing fads and live in studios with other timeless gear.

These sounds do not exist. But you do.

Key Features

Demos

Note: This is a non-commercial research prototype. Design may change.

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FAQ

Does Engram use AI?

Yes, Engram uses a tiny AI engine that runs directly on the hardware, which is a lot different than the big AI you’re familiar with.

You’ve probably used tiny AI before, maybe without realizing it. It quietly powers things like exercise tracking on smart watches, autocorrect on phones, and stem separation in DAWs.

Chatbots are big AI. Engram is tiny AI.

What's the difference between tiny AI and big AI?

  • You own your creative process: Tiny AI doesn’t claim to be “superintelligent”. It’s designed for small tasks. On Engram, we use a tweakable tiny AI engine to generate happy accidents of sound, and to warp, blend, and extend your recordings in unpredictable ways. It’s expressive enough to add a dose of inspiration to your process, but you maintain creative control.

  • Low environmental impact: Unlike big AI, tiny AI is small enough for us to train on computers like gaming PCs – no massive data centers required. Once trained, it runs right on Engram’s hardware on your desk. Peer-reviewed scientific research has shown that the carbon impact of training tiny AI models is minimal.