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The next-generation CMMS with native Weibull and Gumbel predictive analytics. Anticipate failures, optimize your interventions and drive your maintenance with data — from IoT sensors to automatic work orders.
Predictive Maintenance: Weibull and Gumbel at the service of your equipment
MaintForge leverages advanced statistical models to predict failures before they occur. The algorithm automatically analyzes your equipment history and determines the optimal maintenance strategy — without human intervention.
- Recommended Strategy per Equipment — let it run, monitor with sensors, or schedule preventive maintenance
- Remaining Useful Life (RUL) — real-time risk scoring per equipment
- Automatic sensor threshold calibration — statistically calculated warning and critical alerts
- Immediate start, continuous learning — manufacturer data at the start, then refinement with each intervention
Breakdown History
Collection of uptime and failure data
Statistical Analysis
Modeling the failure behavior of each piece of equipment
Risk scoring
Assessment of failure probability and remaining useful life
Strategy Recommendation
Automatic suggestion of the best strategy for each equipment
Automatic Work Order
Automatic generation of predictive work orders with parts and skills
6 types of interventions: from corrective to predictive
MaintForge covers the full maintenance spectrum: corrective, curative, palliative, time-based preventive, condition-based preventive and predictive. Each work order follows a complete lifecycle with full traceability.
- Complete Lifecycle — Draft, Pending, Assigned, In Progress, Validation, Completed — every transition tracked
- Checklists with photos and measurements — Mandatory checkpoints with visual documentation and measured values
- Electronic Signatures — Triple signature: technician, validator and client for complete traceability
- LOTO (Lockout/Tagout) procedures — Lockout/Tagout with 7 energy types: electrical, hydraulic, pneumatic, thermal, chemical, mechanical, gravitational
- Time tracking by activity — Travel, diagnosis, repair, testing, parts waiting — precise cost breakdown
12 sensor families: from the field to the dashboard
Connect your equipment to MaintForge via Modbus gateways tailored to your infrastructure. Sensor data feeds directly into predictive analytics to automatically calibrate alert thresholds and trigger incidents in real time.
- 12 sensor families — Temperature, vibration, pressure, energy, flow, humidity, level, speed, force, position, gas, acoustic
- 3 Modbus gateway models — ETH (Ethernet), PRO (advanced) and 4G (remote sites) with configurable polling
- 8 alert condition types — High/low threshold, rate of change, out of range, and more — with 4 severity levels
- 4-level aggregation — Raw (7d), Minute (30d), Hourly (12 months), Daily (long term) — optimized storage
Technical asset tree: from the plant to the component
Structure your equipment in a parent-child hierarchy with automatically generated QR codes for mobile field access. The integrated FMEA analysis evaluates each failure mode by Severity x Occurrence x Detection to prioritize your actions.
- Unlimited parent-child hierarchy — Site, building, line, machine, sub-assembly, component
- Auto QR codes for mobile access — Scan an asset to access its record, history and create a work order
- Integrated FMEA — Severity x Occurrence x Detection scoring, before/after actions, automatic criticality
- 7 types of regulatory inspections — Pressure equipment, lifting, electrical, fire, environmental, calibration, pressure vessels
- Counters and derating factors — Hours, cycles, km, liters, kWh — with operating condition coefficients
Technical Asset Tree
Complete hierarchical structure of your industrial assets
OrganizationField QR codes
Automatic generation, instant mobile access to each asset record
FieldFMEA
Failure mode analysis: S x O x D with action plans
AnalysisRegulatory Inspections
7 types with deadlines, reminders and compliance tracking
ComplianceInventory management: the right part at the right time
Manage your spare parts inventory with hierarchical categories, multisupplier support and integrated purchase orders. Low stock alerts prevent stockouts and unplanned production downtime.
- Hierarchical categories — 6 unit types, structured organization of your parts catalog
- Multi-supplier — Lead times, minimum order quantity, preferred supplier
- Tracked stock movements — In, out, adjustment, return, transfer — complete history
- Integrated purchase orders — Draft, submitted, approved, ordered, received — complete workflow
Skills matrix: the right person on the right equipment
Manage your technicians' skills with a matrix structured across 9 categories. Track certifications and their expiration, and link skill requirements to each asset for qualified assignments.
- 9 skill categories — Mechanical, Electrical, Hydraulic, Pneumatic, Automation, Welding, Instrumentation, Industrial IT
- 4 proficiency levels — Beginner, Intermediate, Advanced, Expert — progressive assessment
- Certification tracking — Expiration dates, renewal alerts, complete history
- Requirements per equipment — Required skills defined on each asset record for qualified assignments
What our clients ask us
What is Weibull analysis in simple terms?
MaintForge analyzes your failure history to understand how your equipment behaves over time. The system automatically identifies whether an asset is experiencing early-life failures, random breakdowns or progressive wear, and recommends the most appropriate maintenance strategy.
How much data is needed to start predictive maintenance?
MaintForge adapts to your available data. Without historical records, the system starts with manufacturer reliability data. As soon as the first failures are logged, predictive models activate and gain accuracy over time. The more data and sensors you have, the more precise the predictions become. You can start immediately, regardless of your maturity level.
How does the IoT connection work with MaintForge?
MaintForge supports 12 industrial sensor families (temperature, vibration, pressure, etc.) connected via Modbus gateways tailored to each context. Data is intelligently aggregated to optimize long-term storage. Alert thresholds are automatically calibrated through statistical analysis, and critical alerts automatically create incidents.
Is MaintForge available as SaaS only?
MaintForge is a multi-tenant SaaS platform with 5 plans (from Free to Enterprise). The SaaS architecture ensures continuous updates, automatic scalability and complete data isolation per organization. SSO authentication (Google, Microsoft) and 2FA TOTP are available on all plans.
How do I integrate MaintForge with our ERP?
MaintForge provides a comprehensive REST API documented via Swagger and a webhook system with 11 event types (work order creation, incident closure, stock movement, etc.). Webhooks send real-time notifications to your third-party systems to maintain synchronization with your ERP, BI or ticketing tools.
What is the difference compared to a standard CMMS?
Unlike conventional CMMS solutions limited to corrective and time-based preventive maintenance, MaintForge natively integrates predictive analytics based on Weibull and Gumbel distributions. This statistical approach calculates the failure probability of each asset, optimizes intervention dates and automatically generates predictive work orders. Combined with direct IoT connectivity and integrated FMEA, MaintForge transforms your reactive maintenance into proactive, data-driven maintenance.
Ready to switch to predictive maintenance?
Free 30-minute diagnostic to assess your maintenance maturity and identify your first predictive gains.