Your data
has answers.
We find them,
automatically.

Automated machine learning for industrial data. Upload a CSV, ask a question, and get a complete analysis in hours.

Ask anything

  • Predictive Maintenance

    “Which assets are likely to fail in the next 30 days?”

  • Anomaly Detection

    “Are there unusual patterns in sensor line A12 this week?”

  • Quality Control

    “What production variables are driving our defect rates?”

  • Energy Optimisation

    “Which shifts are consuming excess energy and why?”

  • OEE Analysis

    “What's causing availability losses on Line 3?”

  • Safety Monitoring

    “Which conditions preceded our last three incidents?”

No data team required

  • Data Engineer
  • ML Engineer
  • Data Scientist
  • MLOps Engineer
  • Months of setup and iteration
  • Specialist salaries and tooling
  • Technical expertise required
  • A question in plain English
  • A CSV file
  • Results in hours, not months
  • Zero technical knowledge needed
  • A human-readable report

What you get:

Technical Report

Your findings written for decision-makers. Key insights, confidence levels, and concrete recommended actions. No PhD required to act on them.

  • Confidence scores
  • Actionable steps
  • Risks and assumptions

Machine Learning Report

Complete pipeline documentation: data quality assessment, feature importance, model comparison matrix, evaluation metrics, and reproducibility guide.

  • CRISP-DM
  • ISO 13374
  • OSEMN

Production Artifacts

Deploy on day one. You receive a trained model, runnable Python pipeline, interactive HTML dashboard, and structured data exports. Everything is portable, reproducible, and fully yours: no vendor lock-in, no black boxes, no ongoing licence fees.

  • Trained model
  • Python pipeline
  • HTML dashboard
  • Data exports

Why it works

Results in minutes to hours

Not weeks. Not months. Upload your data and get findings the same day, faster than any traditional ML project.

Self-correcting pipeline

The system detects data quality issues, handles missing values, auto-selects the best model, and retries failed steps - all without human intervention.

Built on AWS, secure by default

Your data processes in an isolated environment and never leaves your control. Enterprise-grade security, GDPR-ready, compliant by design.

Native to sensor and operational data

Handles time-series readings, multi-sensor correlations, and irregular intervals without preprocessing. ISO 13374-aligned outputs meet condition monitoring standards from day one.

Early Access

Be first in line

ML4Industry is opening early access soon. Join the waitlist or book a live demo to see it in action with your data.