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Next-Gen Music Production at Scale

AI Music Solutions for Artists & Developers

Scalable Production

Generative Sampling

Artist Model Training

Sound Design

Custom Datasets

DEVELOPERS

Train Better Models With Targeted Datasets

Develop from scratch or enhance an existing model with high-quality training examples reviewed by professional musicians and production engineers for quality and accuracy. With a streamlined production process, we deliver thousands to millions of copyright-free training examples at competitive rates, offering rich musical data that improves model performance for more accurate and relevant results.

MUSIC CREATORS

Scale Production With Generative Workflows

Modern DAWs and music software are built for hands-on creativity, making large-scale production costly and time-consuming as the industry evolves with AI-driven content. Our back-end tools and production workflows streamline this process to help music creators scale their work, delivering high-volume audio and MIDI production for platforms such as music apps, subscription services, stock music libraries, sample packs and AI training datasets.

RESEARCHERS

WaivOps Open-Source Datasets

WaivOps is a crowd-sourced music creator project focused on providing newly sourced music datasets for developing generative AI models. Each dataset is developed with model objectives in mind, offering developers and AI music enthusiasts access to large-scale data for various tasks involved in pretraining, fine-tuning and experimentation with models.

Connect With A Project Manager

We collaborate with both businesses and individuals, providing flexible pricing plans tailored to various data types and media formats. To get started, please share a brief overview of your project or the services you are looking for. A project manager will review your request, assess our available options and follow up with the next steps.

Please include your company or individual name, website, the type of work you're involved with, estimated budget and any additional details we should know.

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