MANUFACTURING

AI agent for predictive maintenance in manufacturing

An unplanned breakdown halts the plant and costs dearly: the agent crosses vibration, temperature and running hours to anticipate the failure and schedule the stop when it makes sense, not when it breaks.

AI agent for predictive maintenance in manufacturing

An AI agent for predictive maintenance in manufacturing integrates with your tools and current flow, with human supervision and traceability. Before automating we define the task, exceptions and success criteria.

We work from Barcelona and Madrid and remotely across Spain, Europe, LATAM and the United States. The agent adapts to your sector and real process, not the other way round.

We hand over the agent, its configurations, repositories and documentation in accounts owned by your company, without lock-in and with the ability to audit or rotate credentials.

An unplanned breakdown halts the plant and costs dearly: the agent crosses vibration, temperature and running hours to anticipate the failure and schedule the stop when it makes sense, not when it breaks.

THE CHALLENGE

predictive maintenance in manufacturing

In predictive maintenance in manufacturing, manual work is slow, depends on staff and leaves room for error; automating it without knowing the sector's flow is a risk. The difference is an agent with rules, exceptions and control, built for your operation.

  • Unplanned downtime

    Production lines stop due to failures that are not anticipated, and each stop costs output.

  • Ignored wear signals

    Vibration, temperature and consumption data exist but no one reviews it before failure.

  • Rigid maintenance plan

    Maintenance follows a fixed calendar and equipment that does not yet need it is intervened.

APPROACH

predictive maintenance in manufacturing

An agent with rules, exceptions and milestone control, adapted to your sector.

  1. Equipment data capture

    The agent collects sensor signals and production orders to detect wear patterns.

  2. Threshold and alert rules

    It applies vibration, temperature and performance limits defined by the maintenance team.

  3. Supervised intervention drafting

    It proposes intervention before failure and leaves it for review by the plant manager.

  4. Prediction traceability

    It records each alert, its threshold and the intervention performed to refine the model over time.

DELIVERABLES

predictive maintenance in manufacturing

An operational, traceable agent under your control.

  • Early failure alerts

    Warnings of equipment at risk of breakdown classified by priority.

  • Suggested intervention plan

    Maintenance proposal per equipment with a recommended time window.

  • Prediction history

    Record of alerts, thresholds and outcomes to improve accuracy.

  • Line availability report

    Summary of avoided stops and availability by equipment and period.

TRUST

AI applied to real sector processes with supervision

AI agents adapted to your sector's real operations since 2008, with human supervision, traceability and milestone control in Barcelona, Madrid and remote. Code and documentation under your control, without lock-in.

  • Adapted to your sector's real operation.
  • Human supervision with milestone and exception control.
  • A measurable first release before expanding scope.
  • Code, configurations and documentation under your control.

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