AI-Powered Predictive Maintenance

Stop machinery failures
before they happen.

Acoustiq uses AI to listen to your machines and detect bearing defects, cavitation, and misalignment days or weeks before they cause costly failures — with no changes to your hardware.

90%+ True positive rate
10–30 Days early warning
3–5× ROI on prevented failures
158 Acoustic features per sample

Designed for industrial environments

Platform Features

Everything you need to move from reactive to predictive.

One platform covering sensor ingestion, model training, fleet monitoring, and actionable diagnostics — no data science team required.

🎧

Acoustic Anomaly Detection

158 acoustic features extracted per sample — spectral centroid, MFCC coefficients, crest factor, kurtosis, and more. Variational Autoencoder models identify deviations invisible to rule-based thresholds.

📊

Real-Time Fleet Dashboard

See every machine's health status at a glance. Color-coded severity levels, live anomaly scores, and trending charts give operators a single pane of glass for the entire facility.

🧠

AI Diagnostic Insights

The system translates raw anomaly scores into plain-language root-cause hypotheses: "Elevated crest factor — possible bearing wear." SHAP explainability shows exactly which features triggered the alert.

🔄

Continuous Self-Learning

Operator feedback is fed back into the model automatically. Confirmed fault events lower false-positive rates over time. New model versions are promoted only when accuracy improves by ≥ 2%.

Guided Machine Onboarding

Add any new machine type in minutes via the built-in wizard. Automated folder creation, per-clip audio quality gating, background model training, baseline generation, and one-click activation — no CLI needed.

💰

ROI & Cost Tracking

Automatic cost savings calculation based on prevented failures, reduced maintenance hours, and extended equipment life. Track ROI per machine, per facility, or across the fleet.

How It Works

From audio signal to actionable insight in seconds.

A fully automated pipeline handles everything between the sensor and the operator's decision.

1

Audio Collection

A standard microphone or vibration sensor mounted on the machine streams WAV clips to the system. Any sample rate is accepted and resampled automatically. No proprietary hardware required — use off-the-shelf USB or Ethernet audio devices.

Hardware agnostic
2

Feature Extraction

Every audio clip is transformed into a 158-dimensional feature vector covering time-domain statistics, spectral features, MFCC coefficients, dominant frequency peaks, and energy-based metrics. Sub-second processing per clip.

158 features · <1 s inference
3

Anomaly Detection

A per-machine AI model (Variational Autoencoder or Isolation Forest) scores each reading against a learned normal-operation baseline. Scores are compared to an adaptive threshold that adjusts with operating conditions.

Per-machine personalized models
4

Diagnostic Insights

SHAP explainability identifies the top contributing features. A rule-based diagnostic layer maps feature patterns to likely failure modes — bearing wear, cavitation, misalignment — with a confidence score and recommended action.

Explainable AI · Actionable
5

Operator Feedback Loop

Technicians confirm or dismiss alerts through the dashboard. Confirmed findings retrain the model, label the fault clip, and improve future accuracy — creating a compounding advantage the longer the system runs.

Gets smarter over time
Deployment Options

Deploy where your data lives.

Acoustiq runs on your infrastructure — cloud, on-premise, or at the edge inside the facility. No audio data leaves the site unless you want it to.

Cloud / SaaS

Managed Cloud

We host and manage the full stack. Connect your sensors via the secure ingest API and access the dashboard from any browser.

  • Zero infrastructure setup
  • Automatic model updates & retraining
  • 99.9% SLA, multi-region failover
  • Data encrypted at rest and in transit
  • SOC 2 Type II (roadmap)
On-Premise

Self-Hosted

Deploy Acoustiq entirely on your own servers or private cloud. Full data sovereignty — no audio or readings leave the network.

  • Docker Compose or Kubernetes deployment
  • PostgreSQL + TimescaleDB data store
  • GPU-accelerated training (CUDA optional)
  • Integrates with existing IT infrastructure
  • Air-gapped environments supported
Edge / Portable

Edge Device

Run inference directly on a Raspberry Pi or industrial edge computer mounted in the control cabinet. No network dependency for real-time alerting.

  • Runs on 8 GB RAM hardware
  • Operates fully offline
  • Syncs to central dashboard when connected
  • Portable demo kit available
  • Ideal for remote or hazardous sites
Component Minimum Recommended
Python 3.11+ 3.12
Database PostgreSQL 14+ PostgreSQL 16 + TimescaleDB
RAM 8 GB 16 GB+
GPU Not required CUDA for faster training
Storage 10 GB 100 GB+ for large fleets
Proven Results

The business case is clear.

Predictive maintenance consistently outperforms reactive and preventive maintenance on every financial metric that matters.

90%+
True positive rate on bearing defects
<10%
False alarm rate after learning period
10–30
Days of early warning before failure
3–5×
ROI from prevented failures (first year)

Prevent Catastrophic Failures

An unplanned motor failure costs 3–10× more than a planned replacement. Early detection gives you the window to schedule maintenance on your terms.

Optimize Maintenance Schedules

Replace time-based schedules with condition-based ones. Only service machines that need it — reducing both over-maintenance and surprise failures.

Extend Equipment Lifespan

Detect and correct small issues before they cascade. Average equipment life extension of 15–25% reported across early deployments.

Pricing

Transparent pricing that scales with your fleet.

No hidden fees. Pricing is based on the number of monitored machines. Annual plans available with a 20% discount.

Starter
€490 / month

For pilot deployments and small facilities.

  • Up to 5 machines
  • Real-time fleet dashboard
  • Anomaly detection
  • Email alerts
  • 90-day data retention
  • Guided machine onboarding wizard
  • Custom model training
  • On-premise deployment
  • API access
Get Started
Enterprise
Custom

For multi-site operations, OEMs, and organisations requiring data sovereignty.

  • Unlimited machines
  • Everything in Professional
  • On-premise or edge deployment
  • Air-gapped environment support
  • Custom integrations (CMMS, ERP)
  • Dedicated onboarding & training
  • SLA with uptime guarantee
  • White-labelling available
Contact Sales

All prices exclude VAT. Annual billing saves 20%. Volume discounts available for fleets over 100 machines. Talk to us about custom requirements.

Contact Us

Let's talk about your facility.

Whether you're ready to start a pilot or just exploring, we're happy to answer questions, arrange a live demo, or put together a custom quote.

Get in touch

Fill in the form and we'll get back to you within one business day. For urgent enquiries, email us directly.

✉️
📅
Response time Within 1 business day
🌍
Coverage Europe & worldwide
✓  Thanks for reaching out! We'll get back to you at the email address you provided within one business day.
Something went wrong. Please email us directly at contact@hipogeniq.com