Thick Pre

Thick Pre - Inspired by a legendary vintage-style preamp, that delivers a thick, warm, and smooth sound. It also features a 'Presence' control to enhance additional harmonics. Thick Pre AI's unique 'Deep' switch can make your sound even larger and thicker.

Deep Vintage
AI-Powered Hardware Simulation Plugin Series

This is a machine that endeavors to pass the human-ear Turing Test, a deep-learning AI technology with a vintage heart.

Deep Vintage series is a suite of plugins that simulate real hardware. Utilizing the power of AI, every Deep Vintage plugin authentically captures the true 'soul' of the vintage gear.

Powered by Three-Body Tech's self-developed APNN (Audio Processing Neural Network), a machine learning technology specialized in simulating analog effect processors, Deep Vintage guarantees you the closest listening experience ever to the legendary hardware models, while ensuring a complete real-time processing.

How is it different?

We have been exposed to numerous emulation technologies: physical modeling, convolution... among many others. Regardless of what technics to engage, our ultimate goal is consistent: to achieve the highest possible fidelity in reproducing the sound of the real-world devices.

APNN was meticulously designed and trained to excel in this task, as its learning is based on audio signals from the real hardware units. Deep Vintage plugins are not merely 'theoretically correct modeling of circuits' nor solely based on harmonic structures or impulse responses; they capture 100% 3D feels in the analog sound.

{See video at top of page}

How does it work?

To put it simply, APNN is a neural network specifically optimized for audio processing, which is composed of a massive combination of audio processing modules (EQ, compressor, overdrive, etc.).

To capture the essence of a hardware model, APNN will automatically adjust its structure and parameters until the difference between its output and the hardware's output progressively diminishes.

Ultimately, APNN achieves an error signal of phase cancellation at about -40dB to -75dB (depending on the hardware model). With this exceptional level of error control, which surpasses even the variance between different production batches of the same hardware model, we can confidently say that APNN is capable of 'deceiving' human ears.

YouTube.com/watch?v=1OhoUYnfnU4

More Features:

• Switchable noise simulation.
• Apple Silicon native support.
• Undo/redo.
• A/B switching.
• Input/output level meter.
• Mono mode.
• LR/MS processing.
• Phase invert.
• GUI re-scaling.
• Latency: 26 sample points, about 0.6ms at 44100 Hz.