AURNO builds adaptive audio intelligence — real-time sound that responds to motion, biometrics, and human performance.
For decades, sound has been static — recorded moments replayed the same way, regardless of who we are, how we feel, or what our bodies are doing. Meanwhile, every other part of our world has become intelligent, responsive, and alive with data. We believe music should evolve too.
AURNO exists to transform sound from something you listen to into something that listens back. This is not about playlists. It's about a living soundtrack — continuously shaped by who you are and what you're doing. Because when music can keep up with you, there's no limit to where you can go.
Two decades of peer-reviewed research point in one direction: music doesn't just accompany exercise — it measurably changes outcomes.
"Music is a legal performance-enhancing drug."
Sources: Danso et al., JMIR Human Factors (2025) · Karageorghis & Priest (2012) · Montecchio, Roy & Pachet, PLOS ONE (2020) · Wang, Donahue & Jain, ISMIR (2025)
Global Wellness Institute · Feed.FM Wellness & Workout Music Report · management estimates from disclosed platform MAU and streaming data.
A workout has phases. Music doesn't know any of them. So users compensate — manually, mid-set, every session.
73% of workout listeners build dedicated playlists — sequencing by BPM, energy, and session type. Craft work the system should do.
One in four songs is skipped within 30 seconds during workouts. Wrong tempo. Wrong energy. Every skip breaks form, breaks heart-rate zone, breaks flow.
40% of users abandon a workout after three or more interruptions. The session ends not because the body gave up — but because the music kept fighting it.
The existence of "best workout playlist" as a category is evidence the default product is broken. Users are paying — in time, attention, and abandoned sessions — for a problem the system should solve.
The lesson: tempo alone isn't enough. Adaptation needs structure, biometrics, and real-time response.
wearables generating biometric streams. Apple Watch, Garmin, Whoop, Polar, Oura — infrastructure that didn't exist in 2018.
drop in AI inference cost since 2020 — resolving the key scale-up bottleneck.
currently flowing from biometrics into music. Every wearable knows what your body is doing. The music app on the same wrist doesn't.
The window is open: the simple version is disproven, the infrastructure is in place, and no one has shipped the hard version yet.
Server-side AI analyses your entire music catalogue, deconstructing each track — structure, energy profile, sonic character — and building a proprietary metadata file that is the foundation of adaptive audio.
Each metadata file captures song structure, EQ profiles, and dynamic range — a rich digital map giving the audio engine the granular understanding it needs to personalise sound in real time.
Metadata fuses with live user data — biometrics, motion, context — inside AURNO's player engine, delivering personalised audio via a white-labelled SDK across any device or platform.
AURNO's AI indexer ingests your catalogue server-side, generating a proprietary metadata file unique to each song.
Each file becomes a deep digital map — structure, EQ, and energy profile in a format the engine can act on.
Metadata streams to the player engine in real time, where it combines with live biometrics, motion, and context.
Individualised audio, output through a white-labelled SDK — embedded invisibly into the platforms your users already use.
Three streams converge on the device: AURNO's metadata, the music your platform already licenses, and live wearable data — fused in real time by the AURNO Player Engine.
Hover or tap any nodeAURNO is a B2B infrastructure layer — we process, partners license. Designed to integrate directly into fitness platforms, equipment, and health applications, on top of the music rights you already hold.
A clean, documented API for integrating adaptive audio intelligence into any fitness platform, app, or connected hardware. Low-latency, high-reliability, built for production at scale.
Native SDKs for iOS, Android, and embedded systems enable deep integration with existing wearable and equipment ecosystems — without re-engineering your stack.
AURNO's adaptive layer directly addresses the 50%+ dropout rate in fitness programs. Partners receive engagement analytics tied to audio adaptation events.
Enterprise partners can configure AURNO's models to their use case — from high-intensity training to rehabilitation, recovery, and focus-oriented wellness.
Core intellectual property established around real-time adaptive audio systems and biometric-driven signal processing.
Development of the AURNO inference engine, with early validation partnerships across fitness hardware and platform integrations.
AURNO launches as a B2B adaptive audio intelligence company. The platform enters its first commercial partner integrations.
We work with fitness platforms, equipment manufacturers, and wellness applications. If you're building something performance-oriented, we want to hear from you.