The AURNO Engine
AURNO combines signal processing, machine learning, and biometric insight to create a real-time audio system that responds to human performance — not just preferences.
Core Pillars
AI Music Indexer
AURNO's server-side AI indexer analyses entire catalogues of music, processing each track to build a proprietary metadata file unique to that song. Rather than treating music as fixed, opaque audio, the indexer deconstructs it — understanding its structure, energy profile, and sonic characteristics in a way no conventional music system can.
Metadata Layer
The indexer produces a unique metadata file for each track — a rich digital map that captures everything from lyrical composition and song structure to EQ profiles and dynamic range. This metadata layer is the intelligence infrastructure that makes adaptive audio possible.
Audio Engine
The unique metadata file is streamed directly to AURNO's player engine, which combines song intelligence with real-time user data to individualise the listening experience on the fly. Delivered via a white-labelled SDK, the engine embeds seamlessly into any device, app, or ecosystem.
How It Works
STEP 01
AURNO's AI indexer ingests your music catalogue server-side, analysing every track to generate a proprietary metadata file — unique to each song.
→STEP 02
Each metadata file becomes a deep digital map of the song — capturing stems, structure, EQ, and energy profile in a format the audio engine can act on.
→STEP 03
The metadata is streamed to AURNO's player engine in real time, where it is combined with live user data — biometrics, motion, context — to personalise the audio.
→STEP 04
Individualised audio is output through AURNO's white-labelled SDK — embedded invisibly into any app, device, or platform your users are already on.
Partner Integration
AURNO is a B2B infrastructure layer — designed to integrate directly into fitness platforms, equipment, and health applications.
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 applications.
Partner with AURNO
Get in touch with the team.
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