Backed by Y Combinator

Machine Intelligence For

Maintenance TeamsProduction TeamsPredictive MaintenanceProduction Tracking

Monitor Machines and Predict Failures Before They Ever Happen

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FEATURES

Keep Machines Running with Dime Machine Intelligence.

Predict Failure Modes
Diagnose potential failures by connecting Dime's condition monitoring sensors to machines for anamoly detection     
Downtime Alerts
Set up phone call and email alerts when assets go down
Work Order Generation
Auto create maintenance work orders in CMMS
OEE and Production Tracking
Track production statistics across stations, shifts and operators with real-time view on production progress and OEE  
How It Works

Go Live In Less Than One Week

STEP 1
Discovery Call

Let's discuss your assets and common failures so we can provide an estimate of potential savings

STEP 2
Implementation

White-glove implementation with sensor placements on machines, alert configuration and report creation

STEP 3
Insight Generation

Once your machines are reporting data for two weeks, Dime will start providing predictive maintenance reports highlighting potential failure modes and at-risk assets  

Made in Detroit

Let's Do This!

White-glove onboarding in as little as a week.  

Book a Demo