Fast Maintenance vs Fogwing
Both are a CMMS — software that plans machine maintenance so breakdowns stop surprising you. They are built around different first priorities. Fogwing leans into sensors, AI and predictive maintenance; Fast Maintenance leans into getting breakdown and preventive maintenance off paper reliably, with QR job cards and on-site support. Here is a fair, non-disparaging look at where each one fits, so you can pick the right tool for your plant.
The honest short version
Fogwing (from Factana) positions itself as an AI- and IoT-powered smart CMMS, EAM and asset-performance platform. Its strength is condition monitoring — connecting sensors to machines to read vibration, temperature and energy, and moving beyond a fixed schedule toward predictive maintenance. If you are ready to instrument critical, high-value assets and act on predictive signals, that is a genuine capability.
Fast Maintenance is built for the more common starting point: a plant where breakdowns and PM still live in a diary or a WhatsApp group. Its strength is making maintenance reliably happen and get measured — an operator scans a QR tag to raise a breakdown from a phone, preventive services run by calendar or running hours with checklists and alerts, a spare BoM sits against every machine, and MTTR, MTBF and downtime build themselves from the work. It runs cloud or on-premise, is quoted in rupees to your real asset and user count, and is implemented on-site with your team.
Neither is better at everything. The question is your first priority: sensors and prediction on critical assets (Fogwing's home ground), or getting all of your maintenance off paper and into reliable numbers with on-site help (Fast Maintenance's home ground). Many plants do the second first, then add condition monitoring where a machine justifies it.
Side by side
| What you're weighing | Fast Maintenance | Fogwing |
|---|---|---|
| Core focus | Breakdown + preventive maintenance, spares and reliability KPIs, off paper and onto one platform | AI/IoT smart CMMS, EAM and asset-performance with condition monitoring |
| Predictive / sensors | Manual and QR-scan entry by default; condition monitoring added where a machine justifies it | Sensor-based predictive maintenance is a core strength |
| Shop-floor capture | QR/barcode tag on each machine, scanned on a phone to raise a breakdown or log a repair | Mobile CMMS app for work orders and data capture |
| Preventive maintenance | Calendar and running-hours schedules, checklists, work permits, WhatsApp/email/SMS alerts | Automated PM scheduler with AI checklist suggestions |
| Spare parts | Spare BoM per machine, issue against the job, reorder alerts, ledger | Inventory and spare management within the platform |
| Deployment | Cloud or on-premise on your own server | Cloud subscription |
| Implementation & support | Process-mapped SRS, Excel import, on-site training and support, 3 months handholding | Cloud onboarding and vendor support |
| Grows into | Spare inventory, purchase and full ERP on the same platform, no migration | EAM and asset-performance modules |
How we put this together: Fogwing's description reflects its own public positioning as of 2026. We have not scored either product or quoted prices — ask both vendors for a demo and a quote against your real asset and user count.
Choose Fogwing if…
Your first priority is predictive maintenance on critical assets — you are ready to fit sensors, want condition-based triggers rather than only fixed schedules, and have the appetite to act on predictive signals. Fogwing is designed around that ambition.
Choose Fast Maintenance if…
Your first priority is getting all your maintenance off paper and into reliable numbers: operators raising breakdowns by scanning a QR tag, preventive services that run on their own, spares held against each machine, and MTTR/MTBF you can trust — implemented on-site by a team that quotes in rupees. You want the option of on-premise, and a path to grow into inventory, purchase or full ERP without a migration project.
Where Fast Maintenance wins
For the Indian manufacturing SME that wants breakdown and preventive maintenance done properly — QR job cards, a spare BoM per machine, downtime capture and reliability KPIs — without first investing in sensors, and with honest on-site support at an affordable, rupee-based price, Fast Maintenance is the more direct fit. It starts as little as an asset and spare register and expands on one platform with no data migration. Explore maintenance software for plants or read what a CMMS is and the CMMS guide for Indian SMEs.
Who uses Fast Maintenance
Across asset-intensive operations of every kind, described by what they run rather than by brand names:
How a Fast Maintenance rollout works
Because the first goal is reliable data, the implementation is deliberately hands-on. Every deployment starts by mapping your maintenance process — how a breakdown is reported and assigned, how a PM schedule raises a job card, how a spare is issued against a machine — and capturing it in a signed-off SRS before anything is configured, with PDCA at each phase. Your assets, specifications, spare lists and opening stock are imported from Excel at cutover, so you are not re-typing your plant into a new system. Training is video-recorded, there is end-user sign-off before go-live, and you get three months of hands-on handholding plus up to six months of post-go-live support across portal, email, WhatsApp and phone. You can go live on just an asset and spare register first and switch on breakdown and preventive maintenance once the team is comfortable — no second project, no migration. See the pricing approach for what every quote includes.
Questions owners ask
Do I need IoT sensors to run a CMMS?
Which is better value for an Indian SME plant?
Can Fast Maintenance run on-premise?
Does Fast Maintenance connect to my other systems?
Can I add predictive maintenance later?
Compare it on your own machines
A 30-minute demo on your assets, PM schedules and breakdown flow, then an itemised quote scoped to your plant within 48 hours.