RoEx Automix VS Diffyn

RoEx Automix's answer

Companies including UnitedMasters, Music.AI and Boombox integrate the Tonn API to add professional audio processing to their platforms.

RoEx Automix's answer

The Tonn API gives platforms access to genuine multitrack AI mixing, not just mastering. Most audio processing APIs work on a finished stereo file, but the Tonn API processes individual stems, applying EQ, compression, panning and dynamics per track. It is built on peer-reviewed research from Queen Mary University of London's Centre for Digital Music, and has been used to process over 8 million tracks in production environments.

Diffyn's answer:

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

RoEx Automix's answer

The Tonn API is one of the few audio processing APIs that handles multitrack mixing at the stem level, rather than only enhancing or mastering a finished stereo file. It covers the full post-production chain - mixing, mastering, audio enhancement, audio cleanup and mix analysis - in a single integration. A Python SDK reduces time to integration, and the underlying technology is grounded in published academic research rather than proprietary black-box processing.

Diffyn's answer:

Diffyn is the platform that specializes on both change management and multi-model analysis.

RoEx Automix's answer

The Tonn API is built for developers and product teams at music distribution platforms, DAW and recording tools, AI video and content creation platforms, and any product that handles user-generated audio at scale and wants to improve output quality automatically.

Diffyn's answer:

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

RoEx Automix's answer

The Tonn API is the B2B layer of RoEx, a London-based AI audio technology company founded by David Ronan. RoEx grew out of PhD research at Queen Mary University of London's Centre for Digital Music, combining machine learning with digital signal processing to automate professional audio production. The same engine powers Automix, RoEx's consumer mixing and mastering product, which has processed over 8 million tracks since launch.

Diffyn's answer:

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.

RoEx Automix's answer

The Tonn API is powered by TonnSDK, RoEx's proprietary audio engine combining deep learning with digital signal processing. The technology was developed through research at Queen Mary University of London's Centre for Digital Music and applies per-track analysis and processing across levels, EQ, compression, panning and dynamics. A REST API and Python SDK are available for integration.

Diffyn's answer:

React, Next.js, POSTGRESQL