Stop Reactive Maintenance.
Predict Failures Before They Happen.
AI-powered condition monitoring for pumps, motors, and compressors across manufacturing, marine, and industrial operations.
Developed by PhD mechanical engineers. Backed by University of Southampton research.
Apply for Free Pilot →FREE 90-DAY PILOT PROGRAMME
Limited to 3 Partners - Apply Now
We're seeking pilot partners to validate PredictiCare with real industrial equipment.
What You Get:
- ✓Zero cost - we handle setup and monitoring
- ✓10-15 hour advance failure warnings
- ✓Simple installation - no IT expertise required
- ✓University of Southampton research backing
Ideal For:
- •Marine operators (pumps, hydraulics, propulsion)
- •Manufacturing facilities (production equipment)
- •Industrial operations (HVAC, compressed air)
- •Any rotating equipment (motors, pumps, compressors)
Why Reactive Maintenance Is Costing You Thousands
When a critical pump or motor fails mid-operation:
- ❌£5,000-£50,000 per failure (parts + downtime)
- ❌Lost production hours
- ❌Emergency parts at 3x normal cost
- ❌Safety risks for your team
- ❌Contract penalties and missed deadlines
Fix when broken = expensive surprises
Scheduled replacement = wasting money on good parts
Requires data scientists and £100,000+ budgets
There's a better way.
PredictiCare: Know Before It Breaks
Get 10-15 hours advance warning before equipment fails.
The Benefits:
- ✓Schedule maintenance on YOUR timeline
- ✓Order parts at regular prices
- ✓Zero production disruption
- ✓Prevent catastrophic failures
- ✓Extend equipment life 30-40%
How It Works:
- 1.We install wireless sensors (2-4 hour setup)
- 2.System learns your equipment (1-2 weeks)
- 3.You receive alerts before failures
- 4.Plan maintenance during scheduled downtime
ROI: Most partners save 30-40% on maintenance costs and eliminate 80%+ of unplanned downtime
Built by Engineers, For Engineers
PredictiCare is founded by Dr. Hemdan Shalaby, PhD Mechanical Engineering, with 20+ years' experience in mechanical systems diagnostics and AI-driven fault detection.
Credentials:
- ✓PhD Mechanical Engineering
- ✓University of Southampton research background
- ✓20+ years rotating equipment diagnostics
- ✓Published researcher in predictive maintenance
Expertise:
- •Bearing failure detection
- •Pump cavitation monitoring
- •Motor degradation analysis
- •Vibration signature analysis
We bring academic rigor and decades of engineering expertise to practical, affordable solutions for SME operators who can't afford enterprise platforms. This isn't generic IoT—it's physics-based AI built by mechanical engineers who understand how and why equipment fails.
Research Validation Programme
PredictiCare is currently in pilot validation phase. We're instrumenting real marine and industrial equipment with live data streams. Early detection has been demonstrated on test rigs with 85%+ accuracy; field ROI validation is underway with pilot partners.
Partnership with University of Southampton
PredictiCare is backed by University of Southampton research. We're exploring Knowledge Transfer Partnership (KTP) opportunities and grant funding through Innovate UK and Made Smarter programmes.
Who PredictiCare Is For
Marine Operations
- • Hydraulic systems
- • Water pumps & bilge pumps
- • Marine propulsion units
- • Compressed air systems
- • HVAC equipment
Manufacturing
- • Production line motors
- • Process pumps
- • CNC machine spindles
- • Coolant systems
- • Conveyor drives
Pharmaceutical
- • Bioreactor pumps
- • Cleanroom HVAC
- • Process pumps
- • Compressed air systems
- • Critical utilities
Industrial Operations
- • Compressors
- • Fans & blowers
- • Gearboxes
- • Cooling systems
- • Any rotating equipment
Apply for Free Pilot Programme
Limited spots available. We respond within 24 hours.
Or contact us directly:
Dr. Hemdan Shalaby, PhD
Email: contact@predicticare.co.uk
Southampton, United Kingdom
Technical Specifications (For Engineers)
Sensor Hardware:
Deploy ESP32-based temperature, vibration, and current sensors on pumps, motors, and compressors. Low-cost, industrial-grade components designed for harsh environments.
Data Infrastructure:
Data streams to AWS IoT Core with local buffering—resilient to network outages, works at remote sites. Edge processing for real-time analysis with cloud backup for long-term trending.
AI Models:
Models trained on rotating-machinery physics—vibration harmonics, thermal signatures, torque patterns. Physics-based approach ensures accuracy without requiring massive datasets. Detects bearing degradation, pump cavitation, motor imbalance, and compressor wear.
Integration:
Compatible with existing SCADA, PLC, and CMMS systems. RESTful API for custom integrations. Standard industrial protocols (Modbus, OPC-UA) supported.
Security:
End-to-end encryption (TLS 1.3). Data stored in UK/EU regions. GDPR compliant. Cyber Essentials certification in progress. ISO 27001 roadmap for 2025.