Use AI to predict and prevent equipment failures before they happen
Using your data and our purpose-built platform, Viaduct can quickly develop, deploy and manage accurate failure prediction models to support a range of valuable predictive maintenance use cases.
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Manage scarce capacity for parts and labor by staging voluntary campaigns.
Minimize customer downtime by alerting them to a problem before it happens.
Reduce campaign expense by narrowing the scope of campaign actions.
Service managers and equipment owners see failure risk and alerts for the assets that are most likely to fail.
Predictions are available on-demand via our API so they can be pushed to whatever application is most relevant for the use case.
Our team will help you evaluate the business case for putting a model in production and will run production pipelines for you.
With decades of experience and a platform designed for predictive modeling, our data science team will deliver the best possible results with your data quickly.
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IMpact Across industries
Reduce warranty costs by detecting production issues from the earliest possible signal.
Minimize the impact of systematic defects on your customers with smarter service campaigns.
Knock down scrap and rework by quickly understanding defect causes from production data.
Quickly determine which suppliers are creating problems that put your business at risk.
Spot and fix problems quickly on the floor to reduce re-work.