Thoughtful Things Launches Engram, an Offline AI Sampler That Hallucinates New Sounds

Thoughtful Things Launches Engram, an Offline AI Sampler That Hallucinates New Sounds

Thoughtful Things opened Kickstarter pledges on Sept. 27, 2026 for Engram, a hardware sampler and groovebox that uses a locally run AI model to transform incoming audio into unusual, often distorted new sounds. Pledges begin at $675, which the company describes as a 30% discount from an eventual retail price that has not yet been formally announced.

Unlike cloud-based AI music services, Engram runs entirely on the device and does not require an internet connection. The system is built around a custom model trained by Thoughtful Things and is designed less for polished song generation than for producing experimental samples, textures and malformed instrument sounds.

Founder Evan King describes Engram as a “field recorder for latent space,” framing the device as a tool for exploring AI mistakes rather than avoiding them. In one demonstration, King asks Engram for a piano sound using his voice. Instead of returning a clean piano patch, the device produces something more fragmented and approximate.

“It's about exploring the world of AI hallucinations and experimental sound design,” King said.

That approach separates Engram from AI music platforms built around generating complete songs. Thoughtful Things instead positions the device as an instrument for producers who want unpredictable material they can shape themselves.

The company also cites circuit bending as an influence. That practice involves deliberately altering electronic toys and instruments to create unexpected sounds, a philosophy that fits Engram’s emphasis on turning imperfect AI output into a creative feature.

Thoughtful Things says the model was developed in-house and that Engram’s firmware will be open, giving owners the ability to modify the system or load third-party models. The company is therefore pairing its local-AI approach with a more hackable hardware design.

Training data is another area where Thoughtful Things is trying to distinguish the product. The company says its models were trained only on audio that permits commercial use.

“We've trained our audio models on open datasets that only contain audio licensed for commercial use (CC-BY or similar). We have not trained and will never train our models on non-commercial, pirated, or otherwise stolen data,” King said.

That position comes as legal disputes continue around AI music training. Sony and UMG are suing Suno again over training data, while UMG is separately suing DistroKid over alleged deceptive trade practices and copyright infringement.

Engram occupies a different part of the market from those services. Rather than generating finished songs, it produces raw material for musicians to arrange and manipulate. Lunacy Audio’s Nova platform has also pushed into AI-powered music tools, though through software plug-ins rather than dedicated hardware.

The Kickstarter launch still carries the usual risks associated with backing an early hardware product. Thoughtful Things has not disclosed a delivery schedule, production partner or detailed unit economics, and the $675 pledge level is limited. The eventual retail price also remains unconfirmed.

For now, Engram is a bet that some musicians want AI to behave less like an automated songwriter and more like an unpredictable sound-design tool. Thoughtful Things is using local processing, open firmware and deliberately strange output to make that case.

This analysis is based on reporting from the tech buzz.

Image courtesy of Thoughtful Things.

This article was generated with AI assistance and reviewed for accuracy and quality.

Updated Sep 28, 2026

About this article: This article was generated with AI assistance and reviewed by our editorial team to ensure it follows our editorial standards for accuracy and independence. We maintain strict fact-checking protocols and cite all sources.

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