neural analog

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 20kHz 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 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. Sound like a pro with mastering. We bridge the gap between AI generation and professional production.
Use AI to master your AI track in seconds
Hit -14 LUFS automatically. Preserve your track's character. Streaming-ready audio that keeps what makes your AI generation special. Right from your browser.

Who We Are

Hi, I'm Nicov, the creator of this website. I'm an AI engineer and I've been a musician for 10+ years. I've built Neural Analog to help me salvage my old recordings and push the limit of what computers can do with audio.

I'm always on the look out for new research, techniques, and models to chisel your productions quality with intuitive, performant tools. Join Discord to follow my journey.

The name Neural Analaog is inspired from the first neural network built by scientists in 1951, the 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. This is the experimental mindset I'm bringing to music production.

Where We Go

The future is analog AI hardware. We want to build for analog neural networks that run audio workflows 1000x more efficiently.

Sub-millisecond latency. Complex models running on dedicated analog chips. MIT, IBM, and Intel are already experimenting 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.