THE AURES PLATFORM
The acoustic intelligence layer
One horizontal layer that turns ambient sound into reliable signal. Aures listens continuously, analyzes acoustic structure, detects the events that matter, and acts, across any environment, at the edge or in the cloud.
HOW THE PLATFORM WORKS
Listen, analyze, detect, act
Four stages, one continuous loop. Each stage is built to run in real time and degrade gracefully when conditions get noisy.
01
Listen
Always-on capture from low-cost microphones, arrays, and contact sensors. Aures streams raw audio continuously, time-aligns every channel, and holds a rolling buffer so nothing is missed, even at the edge with intermittent connectivity.
IN THIS STAGE
Multi-channel sync & rolling buffer
Works with off-the-shelf mics & arrays
Edge-ready with intermittent uplink
02
Analyze
Raw audio becomes structure. Aures extracts spectral, temporal and spatial features, separates overlapping sources, and builds a compact acoustic representation that downstream models can reason over, robust to wind, machinery and crowd noise.
IN THIS STAGE
Source separation in noisy scenes
Spectral + temporal feature extraction
Noise-robust acoustic embeddings
03
Detect
Models match the acoustic signature against what matters to you, a leak, a gunshot, a failing bearing, a species call. Detections arrive with a confidence score, a timestamp and a location, ranked so operators see the real events first.
IN THIS STAGE
Signature classification & scoring
Confidence, timestamp & location
Ranked alerts, fewer false alarms
04
Act
Detections trigger action where you already work. Push alerts, webhooks and API events flow into your dashboards, SCADA, ticketing or comms and feedback from operators is looped back to sharpen the models over time.
IN THIS STAGE
Webhooks, API & push alerts
Routes into existing tooling
Operator feedback closes the loop
ACOUSTIC-SIGNATURE AI
Models that know what a sound means
Every event has an acoustic fingerprint. We train and fine-tune signature models on labelled and self-supervised audio so they recognise the patterns that matter in your environment, not just loudness.
Signature library
A growing catalogue of pre-trained signatures, leaks, impacts, machinery faults, gunshots, wildlife, ready to deploy on day one.
Custom fine-tuning
Bring a handful of examples and we adapt a model to your site, hardware and acoustics. Performance keeps improving as operators confirm or correct detections.
Edge & cloud inference
The same model runs on a low-power edge box or in the cloud. Quantised builds keep latency low and bandwidth small without sacrificing accuracy.
THE AURES APP
Your acoustic field, in your pocket
The Aures app brings live detections, maps and trends to operators on the ground. See what was heard, where and when, confirm it with one tap, and feed that judgement straight back into the platform.
Real-time alerts with confidence and location
Live map of every listening point on site
One-tap confirm that retrains the models
Live detections
● LIVE
Bearing wear — Pump 12
91% confidence · 1m ago
Pipeline leak — Zone B4
98% confidence · 12s ago
INTEGRATIONS & DEPLOYMENT
Deploy it your way, connect it to everything
Run Aures wherever your data needs to live, and pipe detections into the tools your teams already use. No rip-and-replace required.
Edge
Run inference on a low-power box right next to the sensor. Detections leave the device, raw audio never has to.
On-prem
Keep everything inside your network for full data sovereignty. Aures ships as containers you host and control end to end.
Cloud
Stream to our managed cloud for elastic scale, fleet management and zero-maintenance model updates.
Connect via REST API, webhooks and MQTT or push straight into SCADA, ticketing and comms tools.
Webhooks
REST API
MQTT
Alerts
Hear what your operation has been telling you
Book a call and we’ll map the acoustic intelligence layer onto your environment, sensors, signatures and integrations included.