Uptake
Predictive maintenance software for truck and equipment fleets that flags problems before a breakdown, with Bosch now acquiring the company.
A mobile maintenance management app for technicians, with an AI assistant that suggests fixes based on manuals and past work orders.
MaintainX is a maintenance management tool, often called a CMMS. Maintenance technicians use it on their phones to create, assign, and close out work orders, and it also handles preventive maintenance schedules, parts inventory, and safety checklists. The MaintainX AI feature reads through equipment manuals and past work order history to suggest fixes for a reported problem, and staff can type a request in plain language instead of filling out a form. The tool flags likely anomalies and predicts which spare parts a team will need soon. MaintainX connects to systems like SAP and Oracle NetSuite, holds SOC 2 Type 2 and ISO 27001 certifications, and offers a free plan for smaller teams.
This fits a maintenance team still using paper work orders or spreadsheets, whether at a single site or across many locations, since it is built for multi-site companies. A low-risk starting point is the free plan, tried with one site or one team before you buy a paid tier. Paid plans and enterprise pricing require a quote, so treat any number as a planning estimate. The AI troubleshooting feature works best once a team uploads its own equipment manuals and builds up some work order history. Before relying on AI suggestions for safety-critical repairs, have a technician double check them. MaintainX is not built as a full production-scheduling or quality system, so plan to keep those jobs in separate tools.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $103.3K | $161.7K | $258.8K |
| Three-year total | $226.3K | $339.9K | $522.5K |
| First-year cost per unit | $103.3K | $161.7K | $258.8K |
| Average annual cost per unit (over three years) | $75.5K | $113.3K | $174.2K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $37.5K | $50K | $67.5K |
| Implementation | $16.8K | $28K | $47.6K |
| Integration | $17.6K | $32K | $57.6K |
| Staff time and change management | $10.5K | $15K | $21K |
| Security | $7.7K | $11K | $16.5K |
| Administration | $5.6K | $7.5K | $10.1K |
| Support | $2.6K | $3.5K | $4.7K |
Estimate assumptions: Based on 1 production deployment. This is a planning allowance, not verified product pricing. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of MaintainX AI and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Predictive maintenance software for truck and equipment fleets that flags problems before a breakdown, with Bosch now acquiring the company.
A no-code computer vision tool that lets quality teams build models to spot visual defects without writing code or hiring data scientists.
A predictive maintenance tool that forecasts equipment failures from sensor and maintenance data and adds a chat assistant for engineers.
Royal HaskoningDHV (Lanner)
Simulation software for modeling factories and supply chains before making real changes, now sold by Haskoning under its Twinn brand rather than by Lanner.
Where to check the product, price, security, and support.
Recorded score and category rank across research updates.
Answer a few questions about your company and compare this tool with others. The research score above stays the same.
Want help moving from research to action? Explore TriVista’s AI consulting services →