Stop unplanned downtime before it stops your production
In industry, a stopped production line means lost output, delayed orders, and penalties. MAINTEX changes this equation with AI and vital function monitoring.
Production downtime: the most visible cost, but not the only one
Across all industrial sectors — food, manufacturing, chemicals, energy — unplanned downtime is the number one enemy of profitability.
- Repeated interventions on the same equipment
- Over-stocking of parts as a precaution
- Unplanned overtime
- Premature wear of misdiagnosed equipment
Operator safety: a responsibility that engages the company
In an industrial environment, faulty equipment is not just a production issue — it is a risk for operators.
- Rotating machinery and pressurized installations
- High-voltage electrical equipment
- Process lines with automated movements
- Chemical and thermal risks
Regulatory compliance: HACCP, ISO, and beyond
Industry is one of the most regulated sectors when it comes to maintenance. In food, HACCP requirements demand rigorous traceability.
- GMP standards for chemicals and pharmaceuticals
- ISO standards requiring complete history records
- Non-conformities during audits
- Risks to certifications and markets
AI for field diagnostics
MAINTEX integrates artificial intelligence directly into the technician's workflow.
- Analysis of similar failure history
- Identification of probable causes
- Tailored restart procedures
- Continuous enrichment of the knowledge base
From equipment monitoring to vital function monitoring
MAINTEX introduces a different logic: monitoring of vital functions.
- Real availability visibility
- Prioritization by functional criticality
- Immediate alerts if function compromised
- Driven by production, not by equipment
A complete history, accessible in real time
MAINTEX centralizes all maintenance data for each machine.
- Failures and interventions logged
- Replaced parts tracked
- Operator observations preserved
- Mobile access in the workshop
Systematic First Time Fix
In industry, return visits cost twice: technician time and lost production time.
- Root cause identification
- Right part planned in advance
- Optimized restart sequence
- Sustainably improved First Time Fix rate
Data-driven preventive maintenance
Traditional preventive maintenance relies on theoretical frequencies.
- Weak signal detection
- Replacement anticipation
- Predictive maintenance through data accumulation
- No investment in additional sensors
Operational indicators for active supervision
MAINTEX does not reserve indicators for management.
- Availability rate by vital function
- Average restart time
- Overdue preventive backlog
- Recurring interventions per equipment
In industry, maintenance is a competitive advantage — or a handicap
- Declining productivity
- Compromised compliance
- Safety compromised
- Optimized productivity
- Assured compliance
- Strengthened safety
See MAINTEX in action in your industrial environment
Food, manufacturing, chemicals, energy: discover how MAINTEX adapts to your equipment.