Heavy Equipment Maintenance Software

Heavy Equipment Maintenance Built Around How Your Team Communicates

Your CMMS captures the work order. It does not capture the 8 hours your mechanic spent waiting on a part while operations assumed the machine was ready. Opsima fills that gap automatically, from every channel your team already uses.

Your Maintenance Software Knows the Ticket. It Does Not Know the Story.

Your CMMS opens when someone fills out a form. The breakdown happened 90 minutes before that. The mechanic waiting on a part, the supervisor chasing updates, the stalled repair — none of it reaches the system. Opsima captures it from wherever your team reported it.

72%

of maintenance communication happens outside the CMMS

8-12 hrs

average lag between event and system-of-record update

3x

faster MTTR when communication capture is automated

From What Your Team Says to What Your System Knows

When a mechanic sends a WhatsApp message, Opsima extracts the equipment ID, status, fault context, and ETA. It lands in the dashboard within minutes, structured and timestamped. No app for mechanics. No behavior change required.

Works with WhatsApp, Teams, email, and radio transcription
Auto-classifies equipment ID, fault category, severity, and ETA
Zero change to mechanic behavior required
Full audit log with source channel and timestamp
Haul-04 compressor issue. Mechanic on it, need 2 hours
Equipment: Haul-04  |  Status: Breakdown  |  ETA: ~2 hours
Haul-04 Breakdown Est. resolution: 2h
Source: WhatsApp, 09:14 AM
3 stakeholders notified

Every Repair Gets Automatically Logged for KPI Analysis

Equipment KPIs — Active Fleet
Last 30 days
Avg MTBF 312 hrs
Avg MTTR 4.2 hrs
Fleet Availability 91.4%
Recurring Faults 3 flagged
Availability trend since Opsima deployment

Because Opsima captures events at the moment of communication, your MTBF and MTTR numbers reflect what actually happened, not what was entered later.

MTBF and MTTR from real event timestamps, not form-entry lag
Recurring fault identification per equipment ID
Planned maintenance forecasting from running hours
Exportable history for warranty, audit, and compliance

Plan Ahead Before the Breakdown Finds You

Reactive maintenance costs more in every operation. Opsima tracks running hours and surfaces PM alerts before equipment hits its service threshold. Operations plans around known downtime instead of being surprised by it.

Running hours tracking from telematics and manual reporting
Configurable PM alerts by hours, days, or operational cycles
Reservation status visible to operations before shift scheduling
Planned vs. unplanned maintenance ratio tracking
Upcoming Preventive Maintenance
Equipment
PM Type
Due In
Status
Unit-07
500hr Service
48 hrs
Schedule Now
Loader-03
Hydraulic Fluid
5 days
Scheduled
Haul-12
Brake Inspection
2 days
Overdue
Crane-B
1000hr Service
12 days
On Track
2 items require attention before next scheduled shift

What Changes When Maintenance Data Captures Itself

Three teams. Three versions of reality. No shared repair timeline.
One timeline. Every stakeholder sees the same status, blockers, and ETA.
CMMS closes the ticket at 14:00. Machine was back online at 11:42.
Opsima timestamps return-to-service at 11:42. KPIs reflect actual duration.
Month-end review means pulling three systems and WhatsApp screenshots.
Opsima maintains a continuous structured record. Export in one step.
Sensor says the engine is off. No context on cause, parts, or ETA.
Opsima captures 'hydraulic seal missing, ETA 4 hours' from the field message.

A Multi-Year Roadmap Does Not Hold Your Position. It Loses It.

Operations that have automated maintenance data capture are building compounding intelligence right now. Operations still relying on forms and verbal handovers are falling behind.

The first group already has 12 to 18 months of real-world data to predict failures and negotiate service contracts from a position of knowledge. Agentic AI rewards the operations that act while the window is open.

The Red Queen runs at every operation simultaneously. The advantage belongs to the one that acts first.

Purpose-Built for Any Operation Where Equipment Failure Has a Direct Cost

Common Questions About Heavy Equipment Maintenance Software

How is Opsima different from a CMMS like Maximo or SAP PM?
A CMMS captures structured maintenance records. Opsima captures the communication that moves between your team before, during, and after a repair. The two are complementary. Opsima feeds structured data into your CMMS so the formal record reflects what actually happened.
Does this work with mixed fleets from multiple manufacturers?
Yes. Opsima is not hardware-dependent. Because it captures status from human communication rather than machine sensors, it works for any equipment brand, any age, any mix of manufacturers.
What does AI capture mean in practice?
When your mechanic sends a WhatsApp message saying 'Unit-14 needs a hydraulic seal, waiting on parts,' Opsima identifies the equipment, classifies the status, extracts the fault context, and updates the dashboard. No additional input required.
Can Opsima handle multiple languages used by field teams?
Yes. Opsima's NLP layer is configured to the terminology your teams use, including industry abbreviations, equipment naming conventions, and local communication patterns.
How does Opsima help with planned vs. unplanned maintenance ratios?
By capturing all unplanned downtime events in real time, Opsima makes your true ratio visible for the first time. It also surfaces PM alerts before equipment reaches service thresholds.
How long does deployment take?
Most operations are live within 2 to 4 weeks. No hardware, no infrastructure changes, minimal IT involvement.

A live maintenance board that updates itself. No hardware. Live in weeks.

No new tools for your field team. Overlay SAP, Maximo, or your existing operations platform. Built for any field operation where equipment availability has a direct cost.