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HOANG THUYET

Machine Intelligence

From sensor signals to grounded explanations.

Signal processing finds what changed. AI agents bring in manuals, history and maintenance context to help engineers understand why, and propose next steps for people to approve.

Machine Intelligence

Turn sensor signals into machine understanding.

Industrial machines continuously generate signals.

We are building AI-assisted monitoring that combines sensor analysis, operating context and engineering knowledge to help teams identify abnormal behavior and investigate potential equipment issues.

MOTOR M-04
Potential anomalyIllustrative sensor data
Vibration4.2mm/s
baseline 3.55 mm/s−24 hnow
Temperature67°C
−24 hnow
Current12.8A
−24 hnow
RPM1480rpm
−24 hnow

Sensor Pipeline

From raw signals to actionable context.

Layer 1 · Signal analytics

Deterministic processing produces measurable features.

  1. Machine

    • Motor
    • Pump
    • Fan
    • Gearbox

  2. Sensors

    • Vibration
    • Temperature
    • Current
    • RPM
    • Acoustic

  3. Signal processing

    • Filtering
    • FFT
    • Feature Extraction
    • Trend Analysis

  4. Anomaly detection

    • Baseline comparison
    • Drift & threshold events

Layer 2 · AI reasoning

Language models reason over features and context, not raw waveforms.

  1. AI context engine

    • Features + events
    • Machine history
    • Manuals
    • Engineering knowledge
    • Maintenance context

  2. Industrial AI agent

    • Grounded explanation
    • Suggested checks
    • Draft tasks

  3. Operator / Engineer

    • Reviews
    • Decides
    • Approves

Signal processing and anomaly detection produce measurable features: RMS levels, spectral peaks, trends and threshold events, computed with established signal methods.

AI reasoning combines those features with machine history, manuals, engineering knowledge and maintenance context to help engineers investigate problems. A language model is never asked to read raw vibration signals on its own.

Industrial AI Agent

An AI agent that understands the machine, not just the conversation.

The agent plans a multi-step investigation, calls controlled tools for sensor features, documents and maintenance records, and answers with sources. Any action it proposes waits for a person to approve it.

Agent session · Motor M-04Interactive demo · no equipment connected
Why is Motor M-04 showing abnormal vibration?

Agent activity

  1. Retrieve vibration historysensor_history(M-04, vibration, 24h)
  2. Analyze extracted signal featuressignal_features(M-04)
  3. Check temperature trendsensor_history(M-04, temperature, 24h)
  4. Retrieve motor manualdocs.search("M-04 manual bearings")
  5. Review maintenance historymaintenance.records(M-04)
  6. Compare operating contextcontext.operating_state(M-04)

The agent does not control machinery. It reads approved data sources and proposes actions for people to approve.

Monitoring motors, pumps, fans or gearboxes?

Request Early Access Contact