EOTO AI is moving from resonance generation toward immersive creation, live collaboration, and more natural forms of human-machine music-making.
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The first core algorithm for emotion-to-music generation is completed, establishing the foundation of the resonance engine.
The first Android release goes live with basic emotion scanning and Lo-Fi music generation.
The iOS beta opens through TestFlight, introducing higher-precision emotion analysis.
EOTO’s music-generation capability begins entering real-world business environments through selected healthcare and wellness partnerships.
A cross-platform web version launches, allowing users to generate music directly from browser without installation.
Training begins on a multimodal model powered by large-scale emotion-tagged audio data.
The web console is upgraded with Studio Mode, track separation, and MIDI export.
EOTO expands into media and content production environments through enterprise collaboration.
Low-latency real-time jam testing begins, allowing musicians to interact with AI more directly.
Training expands to more than 100,000 hours of high-fidelity material to improve style accuracy and music quality.
Next-generation micro-expression analysis is deployed for more precise emotional interpretation.
New edge nodes are added in Tokyo and Singapore to reduce latency and improve stability.
A decentralized melody and track marketplace launches in beta, allowing creators to exchange AI-generated music assets.
Real-time AI accompaniment becomes available to Pro users, strengthening live creative interaction.
An immersive 3D music creation environment is developed for Apple Vision Pro, moving creation inside the soundscape itself.
Experimental work begins on interfaces that explore how thought signals may guide melody generation.
Start with EOTO AI itself, then move into the solution path that best fits your environment, your workflow, and the result you need to create.

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