Real Estate

Predictive Maintenance Of Buildings Using RapidCanvas AutoAI

Ensure structural stability, and improve resident satisfaction through proactive maintenance strategies for real estate portfolios. Optimize building management with AutoAI-led predictive maintenance

The Pain Points of Reactive Maintenance

Facility managers are constrained with legacy approaches to facility maintenance that are reactive, dealing with issues only after something breaks down.
Equipment Downtime
Critical assets going offline leads to costly disruptions.
Unplanned Maintenance
Emergency repairs must be done on short notice, making them more expensive.
Inefficient Scheduling
With unpredictable failures, maintenance activities cannot be optimally planned.

How RapidCanvas AI Enables Predictive Maintenance

RapidCanvas end-to-end AI predictive maintenance solution for facilities flips the script from reactive to proactive by analyzing data to predict failures before they happen.

Data Ingestion

AI systems ingest streams of sensor data from equipment and assets.
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Feature Engineering

Algorithms identify patterns in the data that are precursors to failure.
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Model Building

Expert verified pre-configured machine learning models make predictions about when failures will occur.
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Deployment

With tailored AI dashboards, visualizations and data apps teams can address issues preemptively before problems arise.
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Monitoring

As more data comes, seamlessly adapt your solution with conversational AI to make accurate forecasts.
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The Power of Predictive Maintenance with RapidCanvas

By anticipating failures ahead of time, predictive maintenance powered by RapidCanvas transforms facility management
Less Downtime
With fewer unexpected outages, operational uptime is maximized.
Lower Costs
Maintenance is cheaper when done proactively vs reactively.
Efficiency Gains
Work can be scheduled intelligently based on predictions.
Proactive Approach
Issues are addressed before they become problems.

Key Industry Metrics

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Hear from Our  Customers

With Rapidcanvas’s turnkey solution, we migrated our legacy knowledge into a modern data stack and automated complex financial processes seamlessly. We use the resulting valuable insights and analytics to make data-driven decisions. Their platform is ergonomic, intuitive, and easy for our team to collaborate and positively contribute to high-value activities.
Ryoichi Sato
Director of Risk, SFR3

The Pain Points of Reactive Maintenance

Equipment Downtime
Unplanned Maintenance
Inefficient Scheduling
Equipment Downtime
Unplanned Maintenance
Inefficient Scheduling
Equipment Downtime
Unplanned Maintenance
Inefficient Scheduling
Equipment Downtime
Unplanned Maintenance
Inefficient Scheduling
Equipment Downtime
Unplanned Maintenance
Inefficient Scheduling
Equipment Downtime
Unplanned Maintenance
Inefficient Scheduling

Why customers choose RapidCanvas for predictive maintenance of buildings

See Rapid Time-To-Value
Address unique business needs without starting from scratch; state your business problem and the AutoAI discovery process will generate a matching AI solution within hours.
Build Expert-Led AI
Leverage the industry knowledge of data science experts, as required, to validate against industry benchmarks and ensure optimal AI solution performance
Access Actionable Business Insights
Create visual, interactive data apps, dashboards and reports to showcase business KPIs and outcomes, and monitor business performance
Use An End-To-End AI Solution
Achieve an end-to-end AI solution with an out-of-the-box setup for all steps from data orchestration, data preparation, transformations, model building and testing, through to model deployment and data apps