Predictive Maintenance with AI
In today's rapidly evolving industrial landscape, the ability to anticipate and prevent equipment failures is paramount for operational efficiency and cost savings.
Exosite's platform integrated with advanced Artificial Intelligence (AI) and Machine Learning (ML), enables organizations to move beyond reactive and scheduled maintenance, embracing a proactive and data-driven approach.
Key Capabilities
From first sensor reading to a completed work order, predictive maintenance is a pipeline of capabilities working together.
Real-time data collection
Connect industrial assets and sensors. The data pipeline maps new data, stores it as time-series, and runs insight functions and rules.
Learn more about ExoSense →Machine learning insights
Off-the-shelf anomaly detection runs in the data pipeline, AI helps pinpoint the cause, and you can build custom ML functions from your own data.
Talk to us →Predictive analytics
Historical data and machine learning forecast equipment condition and time-to-failure, with Exosite's data team available to help.
Condition Monitoring
Continuously monitor asset health and performance, providing immediate insights into operational status. ExoSense allows organizations to build a complete Condition Monitoring application.
Historical Data Analysis
Visualize trends, identify recurring issues, and refine predictive models with comprehensive historical data. The platform provides tools to visualize history, export data, and to leverage data lake repository for big data analysis.
Generative and Agentic AI
An aging workforce with more and more remote technical teams can be greatly helped with Assistant-like Tools. Leveraging AI to assist engineers and technicians with workflows, troubleshooting, and maintenance planning. Integrate: Connect with your existing business systems for automated workflows.
Let's Discuss →Benefits of AI-Powered Predictive Maintenance
Reduced unplanned downtime
Anticipate and address issues before they cause costly disruptions.
Optimized maintenance scheduling
Maintain only when needed, reducing unnecessary work and extending component life.
Lower operational costs
Minimize repair costs, labor, and spare parts inventory through proactive maintenance.
Longer equipment life
Protect your assets by keeping them in optimal condition.
Higher efficiency and availability
Equipment runs at peak performance and is available when needed.
Data-driven decisions
Make smarter maintenance and operational decisions from your own data.
Built for the ways your industry's equipment fails.
Industrial Equipment Manufacturing
Catch bearing wear, motor degradation, and drive-train anomalies weeks before they cause a warranty claim or an unplanned line-down event.
Water Systems
Flag pump cavitation, valve wear, and seal failures before they interrupt treatment or distribution. Water infrastructure can't afford surprise downtime.
Energy & Utilities
Predict transformer, turbine, and generation-asset degradation to protect grid stability and avoid unplanned outages.
Telematics - Transport & Logistics
Anticipate brake, engine, and drivetrain failures before they strand a vehicle, and schedule maintenance around your delivery windows instead of around breakdowns.
Agriculture
Detect early wear in planting, harvesting, and irrigation equipment so machines are ready when the weather window opens, not stuck in the shop.
Mining
Predict failures in heavy, hard-to-access machinery operating in extreme conditions, where an unplanned failure is both a safety risk and a costly production stoppage.
Related solutions
The same platform and the same connected equipment support each of these.
Get Started
Learn more about how Exosite can enable predictive maintenance solutions with our Industrial IoT Platform, Machine Learning, and AI. See if we can be a fit for your project, organization, and products.