Music startup Thoughtful Things has introduced Engram, a hardware sampler and groovebox that employs artificial-intelligence models to distort incoming audio and generate entirely new sounds. The device is marketed as a “field recorder for latent space,” a phrase the company uses to describe its focus on capturing AI-driven hallucinations. Engram debuted on Kickstarter, positioning itself as an experimental tool rather than a commercial pop-music appliance.
In a campaign video, founder Evan King speaks a request for “piano” and the unit responds with a glitchy, vaguely piano-like timbre, illustrating how the sampler can reinterpret simple prompts into uncanny textures. The Verge notes that Engram is not intended to produce ready-to-air tracks, but rather to serve creators who enjoy probing the limits of AI-generated audio.
Thoughtful Things plans to make Engram’s firmware open source, allowing users to modify the internal code or load their own lightweight AI models. This approach draws inspiration from the circuit-bending tradition, where hobbyists deliberately alter electronics to discover unexpected behaviours. By exposing the tiny neural networks, the company hopes musicians and developers will experiment with breaking and reshaping the sound-generation process.
The Kickstarter campaign offers a limited run of Engram units at a pledge level of $675, which the company describes as a thirty-percent discount off the anticipated retail price. Analysts infer that the final market price will likely fall between $850 and $900 once production scales. Early backers will receive the hardware before any broader commercial release, and the campaign emphasizes the scarcity of the initial batch.
Engram distinguishes itself from more commercial AI music products such as Suno, which aim to generate ready-made songs at the push of a button. Instead, the instrument encourages users to push AI audio models beyond their usual constraints, creating sounds that are intentionally strange and unpredictable. This strategy reflects a growing niche of creators who view artificial-intelligence as a source of experimental instrumentation rather than a shortcut to mainstream hits.