Engineered and Material Systems

Catch the defect in the signal.

Production data already holds the early signs of drift, wear, and defects. SPARK applies deterministic signal analysis to sensor and process data to surface them sooner, and builds the software to keep watching.

Solutions

  1. 01Signal discovery
  2. 02Condition monitoring
  3. 03Monitoring software

Focus areas

  • 01Process and quality monitoring
  • 02Equipment-condition signals
  • 03Anomaly detection
  • 04Process-data automation
  • 05Test and measurement systems

Why it matters

Manufacturing & Industrial Analytics

Unplanned downtime and quality escapes are among the largest hidden costs in manufacturing, and the warning signs are usually already in the data.

Built for

  • Manufacturers and plant operators
  • Industrial automation companies
  • Quality and reliability teams
  • Equipment OEMs

Applications

  • Predictive maintenance
  • Quality monitoring
  • Process optimization
  • Test and measurement
SIGNALSPECTRAL VIEWf →t →
Illustration.

Solutions

How SPARK helps.

Every engagement is scoped to your question, your data, and the decision it supports.

  1. 01

    Signal discovery

    Find the measurements that best predict quality and failure on a defined line.

  2. 02

    Condition monitoring

    Detect wear and degradation signatures in equipment data.

  3. 03

    Monitoring software

    Turn the analysis into a deterministic, always-on software tool.

Next step

Put SPARK on your hardest problem.

Tell us what you need to know and the data you have. We'll scope the fastest path to a decision-ready answer, under NDA where required.

Talk to SPARKEngagement Models