Stop Reactive Maintenance. Predict Failures Before They Happen.

Most marine equipment fails unpredictably. When a pump fails mid-operation, the cost isn't just the part—it's lost hours, missed contracts, and safety risk. PredictiCare uses physics-based AI diagnostics to detect bearing degradation, pump cavitation, and compressor wear 10–15 hours in advance, giving your team time to act.

Test-Rig Bearing Degradation

0h18h36hFailure
Detection Window
10–15 hours
Test Type
Accelerated wear

Early detection demonstrated on test rigs. Field validation underway with marine partners (Sept 2025–Q1 2026).

Why Predictive Maintenance Matters for Marine SMEs

Unplanned Downtime Costs

A failed water pump or compressor mid-operation can cost £1,000s in lost hours and delayed contracts.

No Early Warning

Traditional maintenance is reactive (fix when broken) or blind (scheduled replacement based on guesswork).

Wrong Tools for SMEs

Enterprise platforms require data scientists, proprietary hardware, and months of integration.

How PredictiCare Works

1

Low-Cost Sensors

Deploy ESP32-based temperature, vibration, and current sensors on pumps, motors, and compressors.

2

Edge Processing

Data streams to AWS IoT Core with local buffering—resilient to network outages, works at remote sites.

3

Physics-Based AI

Models trained on rotating-machinery physics—vibration harmonics, thermal signatures, torque patterns.

4

Actionable Alerts

Early warnings 10–15 hours before failure. Your team has time to plan, order parts, or schedule service.

Why PredictiCare Is Different

Built for SME Operations

  • •Works with low-cost ESP32 sensors, not proprietary hardware.
  • •On-site integration and calibration by an engineer—no data science team needed.
  • •Pricing and support scaled for small workshops and maintenance teams.

Engineering-Grade Diagnostics

  • •PhD expertise in rotating machinery, combustion diagnostics, and fault detection.
  • •Physics-aware models grounded in 10+ years of academic and industrial research.
  • •Continuous model refinement based on field data and technician feedback.

About the Founder

PredictiCare is built by Dr. Hemdan Shalaby, a mechanical engineer and researcher with 20+ years' experience in mechanical systems diagnostics and AI-driven fault detection.

  • ✓PhD in CFD and Combustion Diagnostics (TU Chemnitz)
  • ✓10+ years Applied Research: Rotating machinery, fluid-thermal coupling, sensor-based fault detection in Germany and UK
  • ✓Independent Consulting: AI-driven maintenance modeling for industrial and university labs
  • ✓Southampton-Based: Direct access to ship-repair docks, marine workshops, and University of Southampton networks

PredictiCare applies physics-based expertise to SME marine operations—solving real problems for operators who can't afford enterprise platforms.

Pilot Validation Phase (Sept 2025–Q1 2026)

PredictiCare is currently in pilot validation. We're instrumenting real marine and industrial equipment with live data streams. Early detection has been demonstrated on test rigs; field ROI validation is underway with pilot partners.

Timeline

Pilot deployment & data collection through March 2026

Next Steps

Grant applications (Innovate UK, Maritime 4.0) based on pilot results

We're Looking For

Marine SME partners for pilot deployment and field validation

Join Our Pilot Program

We're recruiting marine and industrial equipment operators for our pilot validation phase. If your workshop deals with pumps, compressors, fans, or marine propulsion units, we'd love to work with you. There's no cost to participate—we'll install sensors, handle the technical setup, and provide real-time fault detection.

Include your equipment type, company name, and maintenance challenges. We'll respond within 48 hours.