CMMS Software Development
Custom CMMS software development built around your maintenance operation.
A maintenance manager running the PM schedule on a spreadsheet, a storeroom nobody trusts, and work orders that live on paper has a systems problem, not a staffing problem. A 40-technician plant paying per-user SaaS fees every month for a CMMS that cannot model its real preventive maintenance rules has a cost problem and a workflow problem.
RaftLabs builds custom CMMS software for manufacturing plants, facilities teams, HVAC contractors, and property operations. Work orders, preventive maintenance scheduling, asset history, spare parts inventory, and a technician app that works offline, all integrated with your ERP and purchasing. Fixed price. No per-user SaaS fees.
Preventive maintenance engine built around your real PM rules, calendars, and meter triggers
Work orders from request to close with full asset history and cost tracking
Spare parts inventory tied to the assets it serves, with reorder points that work
Technician app that works offline on the plant floor and syncs when signal returns
No per-user SaaS fees as your crew grows: you own the platform
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
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The brief
Start with what is not working.
Good software decisions begin with the constraint, not a list of features or a preferred technology.
PM schedule living in a spreadsheet while machines miss their maintenance windows?
Work orders on paper or email while nobody can say what a repair actually cost?
Paying per-user SaaS fees every month for a CMMS your technicians barely open?
Plain answer
RaftLabs builds custom CMMS software for manufacturing plants, facilities teams, and maintenance operations across the US, UK, Ireland, and Australia. A CMMS (computerized maintenance management system) is one place where every maintenance job, machine, and spare part is tracked. A focused v1 covers work order management, a preventive maintenance scheduling engine, and an asset register, then grows into spare parts inventory, a request portal, and ERP integration. Every build is scoped in writing with a fixed price before work starts.
What to remember
- No per-user SaaS fees: you own the platform outright after delivery
- Preventive maintenance engine generates work orders automatically from calendars, meter readings, and condition triggers
- Migration covers your asset list, PM schedules, work order history, and storeroom data, validated record by record
- Technician app works offline on the plant floor and syncs all activity when signal returns
The PM schedule lives in someone's head.
A maintenance manager opens a spreadsheet on Monday morning and finds three PMs overdue, a pump that failed over the weekend because its inspection never happened, and a storeroom where the critical bearing is out of stock. The schedule was correct. It just never became work orders.
Out on the plant floor, a technician finishes a repair and writes the details on a scrap of paper, because the current system takes longer than the job. The asset history stays blank, and next month the same fault looks like a surprise again.
Three problems, one fix: one system where the schedule, the work, and the parts all connect.
A CMMS, a computerized maintenance management system, is one place where every maintenance job, machine, and spare part is tracked. Preventive maintenance that happens on time instead of in memory. Work orders that record what was actually done, by whom, and what it cost. A storeroom the team can trust. RaftLabs builds custom CMMS software for the operations where an off-the-shelf product never quite fits: the PM rules are too specific, the per-user fees too steep, or the ERP module too heavy for the people doing the work.
The sibling product lives one page over. Field service management software runs the dispatch of technicians to customer sites; a CMMS runs the maintenance department inside your own plant or portfolio. The two share DNA: work orders, mobile execution, and parts tracking. The team that scopes your CMMS ships it.
This works when the spreadsheet schedule has started costing you breakdowns.
Everything on the left should already be true for your operation. Even one thing on the right, and an off-the-shelf CMMS or a spreadsheet is the smarter first step.
A maintenance crew of a dozen or more technicians where per-user SaaS fees are now a real budget line.
PM rules the SaaS cannot model: calendar plus meter plus condition triggers, trade checklists, parts reservation.
An asset register worth protecting: years of work order history that should survive a platform change.
A small team where a spreadsheet or a simple CMMS still covers the work.
You want a month-to-month subscription with no upfront build, not a platform you own.
Straightforward PMs with no integration needs, where Limble, Fiix, or UpKeep already fits.
Capabilities
CMMS software capabilities
Work order management
Work orders from request to close: intake, triage, assignment, in-progress tracking, completion, and sign-off. Every order carries the asset, the technician, the parts used, and the actual cost, so the history answers questions instead of raising them.
Preventive maintenance engine
PM tasks defined once, generated automatically from calendar dates, runtime hours, or meter readings. Trade-specific checklists attached to each task. Missed-PM compliance reports the maintenance manager can act on, not file away.
Asset register and hierarchy
Every machine, location, and system in one register, organized the way your plant thinks: site, line, asset, component. Full maintenance history per asset, so a repeat fault is a pattern you can see, not a surprise you keep having.
Spare parts inventory
Parts linked to the assets they serve. Stock updates when technicians log parts used, reorder points trigger before the bin runs empty, and cost-per-repair reporting shows which machines are worth rebuilding and which are worth replacing.
Offline-first technician app
iOS and Android. The technician sees the job, the asset history, and the checklist, records the work in a few taps, and closes the order. On the plant floor where signal drops, everything queues on-device and syncs when coverage returns.
Maintenance request portal
Operators and facility staff submit requests without calling the maintenance office. Requests arrive triaged with location and asset context, and the requester sees status without chasing anyone down the hallway.
Fleet and equipment maintenance
For operations that run vehicles alongside plant equipment, the same PM engine and work order flow covers the fleet: service schedules by mileage and date, inspection checklists, and cost tracking per vehicle.
Reporting and maintenance KPIs
PM compliance, mean time to repair, work order backlog, downtime by asset, and cost per repair. Manager dashboard by site, crew, and asset class. The numbers that show whether the operation is getting more reliable.
Why maintenance leaders choose a custom CMMS
No per-user SaaS fees
Commercial CMMS platforms charge per user per month, forever. Run that fee times your crew size times 12, project it over five years, and compare it against a fixed build you own outright. For crews past a dozen technicians, the arithmetic usually favors owning.
PM rules modeled, not worked around
Limble, Fiix, and UpKeep are built for the average maintenance team. Your trigger combinations, your trade checklists, your parts reservation logic, your approval chains: modeled in from day one, not approximated with workarounds.
Technician adoption designed in
The most common CMMS failure is not technical, it is human: technicians route around software that slows them down. The work order flow is designed with the people who use it, kept to a few taps, and piloted with a subset of the crew before full rollout.
ERP and purchasing integration
Where the operation runs SAP, Oracle, or another ERP, the CMMS integrates instead of duplicating. Work orders and asset data flow to the ERP, purchase requests land in the existing approval chain, and the financial record stays where finance expects it.
Migration from your current system included
Asset lists, PM schedules, and work order history moved off spreadsheets, Limble, Fiix, UpKeep, Maximo, or SAP PM. Validated record by record against the old system in a staging environment before go-live.
Parallel cut-over, no hard stops
A plant does not get a maintenance window for a software rollout. We run the new CMMS alongside the old system for a parallel-run window, validate the data in daily use, then cut over with a tested rollback plan.
Custom CMMS vs off-the-shelf CMMS SaaS
| Off-the-shelf CMMS SaaS | Custom CMMS (RaftLabs) | |
|---|---|---|
| Cost model | Per-user monthly fees that grow with every technician you add | Fixed build cost, then a few hundred dollars per month in infrastructure |
| Ownership | You rent access; the vendor owns the code and the data model | Code, infrastructure, and API contracts transfer to you at handover |
| PM fit | Standard scheduling; your custom trigger rules may not be supported | Your calendar, meter, and condition triggers modeled in from day one |
| Technician adoption | One-size interface; crews often keep paper workarounds | Work order flow designed with your technicians and piloted before rollout |
| ERP fit | Standard connectors; heavyweight plants may still live in SAP PM | Integration built against your ERP and purchasing process, confirmed in week-one discovery |
How much are per-user CMMS fees costing you this year?
Tell us your crew size, your current tools, and your PM requirements. We'll scope the platform and give you a fixed price.
How it works
From scope to live crew
- Phase 101
Maintenance audit
We map your work order flow, PM rules, asset register, and storeroom process with the people who do the work. You leave the audit with a written scope document and a fixed-price quote. Development starts only after sign-off.
- Phase 202
Design and architecture
UI design for the maintenance portal and technician app approved in Figma before any code is written. Data model, PM engine rules, integration architecture, and offline sync strategy documented and reviewed.
- Phase 303
Platform development
Work order system, PM engine, asset register, and technician app built in parallel. QA runs alongside development, not at the end. Spare parts inventory and ERP integration land here when they are in the v1 scope, otherwise they follow as expansion modules.
- Phase 404
Parallel run and cut-over
New CMMS runs alongside your existing system while data is migrated and validated. Once record accuracy is confirmed, the full crew cuts over. Post-launch monitoring and support included. Your validated v1 is live; request portal, multi-site rollup, and capital planning reports follow as the operation grows.
Pitfalls we plan around
CMMS projects fail in predictable places. We scope for these before the build, not after the first technician complaint.
- PM rules that look simple but are not
- Every plant says its PM schedule is straightforward until you map the exceptions: meter-based tasks that override the calendar, seasonal equipment that pauses for months, inspections that differ by trade. We document the real rules in week 1 with the planners and technicians who live them, not the managers who describe them.
- Dirty asset data at migration
- Years of records usually mean duplicate assets, dead serial numbers, and PM schedules that no longer match reality. We profile the data during the parallel run, flag the problems for your team to clean, and only migrate what is validated, so the new system starts clean instead of inheriting the old mess.
- Technician adoption
- A technician who finds the app slower than a scrap of paper will route around it, and your data goes dark. We design the daily flow with the people who use it, keep the job path to a few taps, and pilot with a subset of the crew before the full rollout so the friction surfaces early.
- Storeroom trust
- An inventory module only works if the counts are real. We build the parts flow around the storeroom's actual process, barcode scanning where it helps, and cycle counts the team can sustain, so the reorder points reflect reality instead of generating noise the team learns to ignore.
Proof it works
RaftLabs has shipped production software since 2015 for clients across the US, UK, Europe, Canada, and the UAE. For maintenance software specifically, the closest proof is our adjacent operations work: the same work-order discipline, mobile workforce apps, and zero-disruption migration practice, pointed at maintenance instead of dispatch.
What clients say
What our clients say
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.
This platform rarely stands alone. The field service management platform handles dispatch to customer sites while the CMMS runs your own maintenance operation, and the two share work order, mobile, and parts-tracking DNA. When sensor data should trigger work orders automatically, that is where predictive maintenance comes in, a wider enterprise asset management view covers asset lifecycle and capital planning, and fleet maintenance extends the same PM engine to vehicles. Everything is built on our custom software development practice. For field service and HVAC businesses, the maintenance and dispatch platforms work as one operation.
Work with us
Tell us where the work is stuck.
Bring the rough workflow, half-built product, or messy brief. We will map the smallest useful first move, then send scope, timeline, and price in plain English.
- Scope and cost agreed before work starts. No surprises. No obligation.
- Working prototype within 3 weeks of kickoff.
- Pay by milestone. You see progress before each invoice.
- 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
- All conversations are NDA-protected.
Common questions
Every build is fixed price: the quote in the project brief is the final invoice. A focused build covers work order management, a preventive maintenance scheduling engine, an asset register, and a technician app with no external integrations. Adding spare parts inventory, a maintenance request portal for operators, and ERP or purchasing integration expands the scope; condition-based triggers, multi-site rollup, and capital planning reports expand it further. You own the platform after delivery, so there is no per-user monthly fee; ongoing infrastructure cost depends on scale.
Spreadsheets work until three things happen at once: the asset list passes a few hundred machines, the PM schedule outgrows one person's memory, and a breakdown stops production because nobody knew the PM was overdue. If your maintenance manager is the only person who knows the real schedule, the schedule is fragile, not simple. A CMMS earns its place the moment missed PMs start costing more than the software. The honest test: count the breakdowns last quarter that trace back to a PM that was scheduled but never done. If that number is not zero, spreadsheets are already costing you.
This is the question that decides the project, and it is answered in design, not in training. Technicians ignore software that is slower than a phone call, so the work order flow has to be a few taps: open the job, see the asset history, record what was done, close it. We design the daily flow with the people who will use it, pilot with a subset of technicians before full rollout, and keep the offline behavior invisible so a dead zone on the plant floor never punishes anyone for using the app. Adoption is a design requirement we sign off on during the audit, not a hope we express at launch.
SAP PM is built for the enterprise that standardizes everything; a single plant or a multi-site operator often pays for that standardization in complexity nobody uses. A custom CMMS wins when three things are true. First, the team runs a maintenance operation, not an ERP project: technicians need a simple work order flow, not a 40-field transaction screen. Second, your PM rules do not fit the template: calendar plus meter plus condition triggers, trade-specific checklists, and parts reservation against the job. Third, licensing and consulting costs for the heavyweight system have outgrown the value: run the per-user fee times your crew times 12 and compare it against a fixed build you own. If even two of those are true, a focused custom CMMS is usually the cheaper and simpler answer.
Yes, that is the core of the PM engine. You define each PM task once: which asset, what frequency (calendar days, runtime hours, or meter readings), and which checklist the technician follows. The engine generates the work order automatically when the trigger hits, assigns it based on your rules, and notifies the technician. Missed PMs show up on a compliance report the maintenance manager actually reads, instead of hiding in a spreadsheet nobody opens. Condition-based triggers, where a sensor reading or inspection result creates a work order automatically, can be added as the operation matures.
Yes. The standard migration covers the asset register and hierarchy, open and historical work orders, PM schedules and task lists, spare parts and storeroom data, and technician profiles. The process: we export from your current system (Limble, Fiix, UpKeep, Maximo, SAP PM, or spreadsheets), map every field to the new data model, and run the import into a staging environment. You validate a sample of migrated records against the old system before anything goes live. Then we run the new platform in parallel with the old one for a parallel-run window to confirm the data behaves correctly in daily use, with a tested rollback plan. Years of history typically migrate in the parallel-run window with no disruption to the maintenance operation.
The plan follows the four phases below: maintenance audit, design and architecture, core platform build, then parallel run and cut-over. The audit maps your work order flow, PM rules, asset register, and storeroom process, and produces the fixed-price quote. Development starts only after sign-off.
You do not need clean data to start: you need a clean start on critical assets. Migrate what matters, add the rest as it comes up. A partial system used daily beats a complete one abandoned in month three. The hidden trap is scope: model the total cost of implementation, training, and data migration, not the first-year quote.
They fail on adoption, not technology. Months after signing, nobody is using it: technicians exercise a pocket veto against clunky software, empty dashboards, shelfware, zero return. The failure is never technical, it is adoption. If the vendor's demo does not include your own technician closing a work order on their own phone, unaided, you are being sold software, not a working system.
Watch your own technician close a work order on their own phone, unaided: that is the whole evaluation. Ask how the system handles your critical assets first, before the full migration. Confirm any BMS or HVAC integration before buying, not after: many CMMS tools need middleware for that.
Every part in the storeroom is linked to the assets it serves. When a technician logs parts used on a work order, stock levels update automatically, and reorder points trigger purchase requests before the bin runs empty. The inventory view shows what is on hand, what is reserved against open work orders, and what a part actually costs per repair over time, which is the number that tells you whether to keep rebuilding a machine or replace it. For operations that already run purchasing in an ERP, we integrate rather than duplicate: the CMMS handles the maintenance-side view and the ERP stays the financial record.