Real-time Actionable Asset Intelligence
Optimize Equipment Reliability and Prevent Failures Before They Happen
At V+MiAi, we help organizations transition from reactive maintenance to a smarter, predictive model.
By combining intelligent asset monitoring with real-time data analysis, our predictive maintenance platform -- developed under an ISO 9001-certified quality management system -- empowers maintenance teams to detect issues before they become costly problems—enhancing uptime, extending equipment life, and streamlining operations.
Ready to Predict and Prevent?
Whether you're looking to reduce downtime, improve safety, or make smarter maintenance investments—V+MiAi helps you take the guesswork out of your operations.
What Is Predictive Maintenance?
Real-Time Intelligence
Predictive maintenance is a proactive approach that uses real-time data, historical trends, and AI to monitor equipment health and predict potential failures. Our system identifies subtle shifts—such as changes in vibration, heat, or acoustic signatures—that signal a developing issue. This allows you to take corrective action before breakdowns occur, minimizing disruptions and costs.
How It Works
Integrated Decision Support
Our AI-enhanced system continuously captures operational data from sensors, IoT devices, and software logs. When equipment operates outside normal thresholds, the platform triggers alerts and automatically schedules maintenance tasks—integrating seamlessly with your existing maintenance workflows. The result? Fewer surprises, smarter decisions, and more reliable machinery.
Core Benefits
Predictive Operations Engine
Minimize Downtime: Address issues before they escalate and keep production lines moving.
Automated Scheduling: Let our platform handle routine maintenance plans and dynamically adapt based on real-time data.
Data-Driven Decisions: Monitor machine health and track performance with powerful analytics and reports.
Extended Asset Life: Prevent unnecessary wear and catch anomalies early to maximize the life span of your assets.
Mobile Access: Field teams can receive alerts, log updates, and upload diagnostics from any device.
Compelling Statistics
Food for Thought
70% Reduction in Breakdowns - McKinsey & Company
Predictive maintenance can reduce equipment breakdowns by up to 70%, significantly minimizing production interruptions and avoiding emergency repair costs.
25–30% Lower Maintenance Costs - Deloitte Insights
Organizations that adopt predictive maintenance report 25%–30% savings in maintenance costs through smarter scheduling and condition-based interventions.
20–50% Increase in Asset Uptime - U.S. Department of Energy
Facilities using predictive maintenance see uptime improvements of 20–50%, giving a substantial boost to productivity and throughput.
30% Longer Equipment Lifespan - PwC Predictive Maintenance 4.0 Study
By catching issues early and preventing wear, predictive maintenance can extend asset life by an average of 30%, deferring capital expenditure.
10x ROI Within the First Year - IBM Maintenance Benchmarking
Predictive maintenance often delivers a 10:1 return on investment in under 12 months by reducing costly failures and optimizing resource allocation.
Industry Applications
Predictive maintenance has transformative applications across sectors:
Manufacturing: Detect wear in spindle motors or anomalies in heat exchangers before they disrupt operations.
Transport & Fleet: Monitor vehicle performance to reduce breakdowns, fuel consumption, and unexpected repair costs.
Aviation: Maintain strict safety standards and reduce costly delays with real-time engine monitoring.
Automotive: Track temperature, vibration, and fluid levels to predict and prevent part failures.
Mechanical Engineering: Replace guesswork with data-driven insights and extend machinery life cycles.
How CMMS & AI Work Together
Integrates Seamlessly
We offer more than just monitoring—we provide a fully integrated ecosystem for predictive maintenance. Our platform acts as the digital backbone of your maintenance strategy, leveraging AI, IoT, and cloud technologies to centralize data, trigger intelligent workflows, and empower your teams with actionable insights.
Build Your Predictive Maintenance Program
Launching a predictive maintenance initiative with V+MiAi is simple
Identify Critical Assets — Focus on the most valuable or failure-prone machinery.
Gather & Integrate Data — Feed in historical and real-time sensor data.
Model Failure Modes — Leverage AI to analyze patterns and predict breakdowns.
Deploy Smart Sensors — Retrofit equipment with modern sensors where needed.
Launch Pilot Program — Validate the system on select equipment before scaling up.
The Six Foundations of Predictive Success
People – Empower teams to act on insights and support adoption.
Data – Accurate, up-to-date asset information is the cornerstone of predictions.
Processes – Define how maintenance is triggered, tracked, and closed.
Tools & Parts – Ensure you have the right equipment and spares ready.
Assets – Choose equipment that can be effectively monitored and forecasted.
Technology – Use advanced platforms like ours to unify and scale your efforts.
Do You Have Any of the Following Concerns?
Our equipment is old—can it even support predictive tech?
Yes—many older machines can be retrofitted with affordable IoT sensors for temperature, vibration, or oil quality. You don’t need to overhaul your equipment to modernize your maintenance. Retrofitting extends the useful life of legacy assets while giving you visibility you’ve never had before.
The upfront cost is too high.
While initial investments in sensors, software, and integration may seem significant, predictive maintenance delivers rapid ROI by reducing unplanned downtime, cutting emergency repair costs, and extending equipment life. According to McKinsey, predictive maintenance can reduce maintenance costs by 20% and breakdowns by 70%. These savings quickly offset the initial investment—often within the first year.
Implementing predictive maintenance will disrupt our operations.
A well-planned PdM rollout is designed to run in parallel with your existing systems, starting with pilot programs on critical assets. There’s no need to shut down production. Integration is incremental and minimally invasive, with real-time benefits like alerts and condition monitoring starting almost immediately.
It’s hard to prove ROI before we implement it.
We recommend beginning with a targeted pilot on high-risk, high-cost equipment. Within 3–6 months, you’ll have measurable KPIs like reduced downtime, lower MTTR (Mean Time to Repair), and increased throughput. We also provide dashboards and reports to quantify cost avoidance and optimize resource allocation in real time—giving you data-backed ROI you can present to stakeholders.
Our team lacks the expertise to run this kind of system.
Today’s PdM platforms, like V+M AI, are built for ease of use and seamless integration with your current CMMS. We provide onboarding, training, and ongoing support. Additionally, the AI handles most of the heavy lifting—analyzing data, detecting anomalies, and automating work orders. Your team doesn't need to be data scientists to benefit.
We already have preventive maintenance; why change?
Preventive maintenance is based on time intervals, not actual asset condition. This often leads to unnecessary part replacements or missed failure indicators. Predictive maintenance is data-driven and ensures you act only when it’s truly needed, avoiding waste while increasing machine uptime and reliability. It enhances—not replaces—your preventive program with real-time intelligence.
Ready to Get Relief with Up to 70% Reduction in Breakdowns?
Predictive maintenance can reduce equipment breakdowns by up to 70%, significantly minimizing production interruptions and avoiding emergency repair costs.
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FAQ's
How is your platform different from traditional BI or ERP dashboards?
Traditional BI tools report what already happened. V+ MIAI delivers what’s about to happen—and what to do about it. We go beyond static dashboards by combining real-time operational data, predictive intelligence, and financial modeling into a unified command platform. It’s not just visibility—it’s foresight and control, with every action aligned to enterprise value.
Can your platform integrate with our existing MES, ERP, and legacy systems?
Yes. V+ MIAI is designed with plug-and-play integration at its core. We support secure API, batch, and data connector integrations with platforms like SAP, Oracle, Rockwell, Siemens, and others.
Our implementation team conducts a full infrastructure audit to ensure a seamless connection between your plant-floor data, back-office systems, and executive dashboards—without disrupting your operations.
Will we need data scientists or IT to maintain the system?
No specialized AI or data science team is needed. V+ MIAI is built for operational and executive leaders, not just analysts. Our Revela™ engine automates the heavy lifting—forecasting issues, simulating outcomes, and recommending actions—while your team uses intuitive, role-based dashboards. We also offer full onboarding and training to enable day-to-day use with minimal technical overhead.
How fast can we go live with a working solution?
Most clients launch a branded, integrated Executive Control Station in 30–45 days.
We start with a rapid design and data connection phase, followed by a pilot that gives your leadership team full visibility over critical KPIs, predictive alerts, and supply chain risks. This means value within weeks—not quarters.
How do you ensure data accuracy, reliability, and security?
We follow enterprise-grade data integrity and cybersecurity protocols, including SOC 2 compliance, end-to-end encryption, and strict access controls.
We build your control environment in alignment with your IT security policies and use automated data validation pipelines to ensure the information executives see is timely, trustworthy, and actionable.
What ROI can we expect from implementing your products?
While ROI depends on the scale of deployment, manufacturers typically see returns in:
Reduction in unplanned downtime (up to 30% within months)
Faster sourcing pivots, avoiding expensive delays
Improved EBITDA forecasting accuracy
Shorter decision cycles across supply chain, operations, and capital planning
More importantly, we tie every operational action to financial outcomes — so you can see the impact of decisions before you make them.
Can your solution support strategic planning and Balanced Scorecard execution?
Absolutely. We integrate Balanced Scorecard principles directly into our Executive Control Stations. You can cascade strategic goals, track KPIs in real time, and align teams from plant floor to boardroom — all within the same platform that runs your predictive maintenance and supply chain intelligence. It’s strategy made executable, and measurable, every day.
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