Useful before novel
AI is not the headline inside the room. The result should feel like a better atmosphere, not a technology demonstration.
MoodStir began with a simple observation: background music affects everyone in the room, yet most venues have no practical way to hear what guests respond to while protecting the brand.
“If I do not like this music, how many other guests feel the same—and how could the venue know?”
That question became a product idea: let the host define the atmosphere, let the room contribute signal, and use software to connect the two.
MoodStir treats music as part of the guest experience and the operating system of the room—not as a background task that ends when someone presses play.
Your feedback helps MoodStir read the room while the venue stays in control.
AI is not the headline inside the room. The result should feel like a better atmosphere, not a technology demonstration.
Adaptation earns trust only when the venue or event host can define and understand the boundaries.
Guest input should improve the experience over time instead of creating a noisy queue of one-off demands.
MoodStir brings together product leadership, artificial intelligence, software engineering, and music-minded design.
Music enthusiast and technology development leader with experience guiding teams that build advanced systems.
Technology leadership focused on the intelligence layer behind the MoodStir experience.
AI research engineer with experience in computer vision, large language models, and multimodal systems.
Musician and software developer who brings product thinking and creative implementation together.
Tell us what you are trying to create and where music fits. We will route the conversation to the right person.