About Neural Analog
What We Do
We turn your music into actual releases. You have hundreds of tracks sitting idle, and this will keep piling up with cheaper AI music generation. We give you the tools to finish them.
Extract stems with a simple prompt. Restore that compressed 16kHz MP3 to pristine 24-bit WAV. Master it for Spotify. This is what AI-enabled music production should look like.
- Stop prompting. Start producing. Upload your AI track and get clean stems, MIDI, and samples that drop straight into your DAW. No artifacts. No ghost frequencies.
- Fix the AI sound. AI audio is full of mud and missing frequencies. Our restoration engine cleans it up and makes it radio-ready.
- Finish the damn song. Real work happens in Ableton, FL Studio, Logic. We bridge the gap between AI generation and professional production.
Who We Are
Neural Analog is an initative lead by a small group of AI engineers who want to help you make the best music. We write code. We play instruments. We listen to bangers.
Our name comes from 1951, when scientists built the first artificial neural network called SNARC. It was analog, not digital. It used continuous electrical signals to learn like a brain.
SNARC learned to navigate a maze like a rat. That was the moment machines proved they could learn from experience. We are bringing that same breakthrough mindset to music production.
Where We Go
The future is analog AI hardware. While everyone else chases digital GPUs, we want to build for analog neural networks that run 1000x more efficiently.
Sub-millisecond latency. Complex models running on dedicated analog chips. This is not science fiction. MIT, IBM, and Intel are already there. We want to bring it to audio synthesis.
Your AI tracks will sound human. Your workflow will be instant. The line between generation and production disappears. The future is Neural. The future is Analog. The future is Neural Analog.