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Predictive Maintenance & IoT

Predictive maintenance & IoT

Predictive maintenance uses sensor data and machine-learning models to detect equipment problems before they cause a failure, replacing reactive, fixed-schedule maintenance with alerts that fire only when something is actually trending wrong.

Target Dial connects your equipment and sensors, watches the data in real time, and learns each machine's normal behavior, so anomalies get flagged early and your team can act before a breakdown turns into downtime.

Sensor monitoring
24/7Sensor monitoring
Anomaly alerts
Real-timeAnomaly alerts
Not reactive
PredictiveNot reactive
How it works

From first call to live, optimized system

  1. 01

    Connect the sensors

    We bring equipment and IoT sensor data, temperature, vibration, usage, and more, into one monitored stream.

  2. 02

    Learn normal behavior

    Models establish each asset's baseline so real deviations stand out from ordinary variation.

  3. 03

    Detect anomalies early

    Real-time analysis flags the patterns that precede failures, before they reach a breaking point.

  4. 04

    Alert and act

    Your team gets a clear alert with context, so maintenance happens on the schedule the data dictates, not too early, not too late.

What you get

Built and run for you, end to end

Target Dial designs, builds, and operates the system, so you get the outcome without managing the technology.

  • Real-time ingestion of IoT and sensor data
  • Per-asset baselines and anomaly detection
  • Early-warning alerts before failures occur
  • Dashboards for equipment health and trends
  • Integration with your maintenance and ticketing tools
  • Models that improve as more data accumulates
FAQ

Predictive Maintenance & IoT, answered

What equipment can this work with?+

Anything that produces sensor or usage data, production machinery, HVAC, fleet vehicles, and connected devices. If it can be measured, its behavior can be modeled.

Do we need new hardware?+

Often not, many assets already emit usable data. Where sensors are missing, we scope the minimum needed to cover the failure modes that matter.

How is this better than scheduled maintenance?+

Fixed schedules either service too early, wasting money, or too late, risking failure. Predictive maintenance acts on the equipment's actual condition, so you do the right work at the right time.

See it working for your business

Book a 15-minute demo and we’ll show you predictive maintenance & iot built around your workflow, no card, no commitment.