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Preventing Downtime at Every Layer

In this case study, you'll explore how Lift AI closed the gap between their uptime promise to customers and the reliability of their own infrastructure, and what it means to scale without risk.  

The Risk of Downtime in DIY Connectivity

Learn how a single deployment event cascaded into a 380-device outage, and why building connectivity in-house creates a reliability ceiling that grows more dangerous as you scale.

Remote Updates that Don’t Take Systems Offline

See how Blues' device firmware update (DFU) capabilities let Lift AI evolve their platform continuously, without the physical access requirements or update failures that cause unplanned outages.

Engineering Focused on Uptime, Not Infrastructure

Discover how offloading connectivity infrastructure to Blues allowed Lift AI's team to redirect their energy toward the predictive algorithms that actually prevent elevator failures before they happen.

Rob Wurth, CEO of Lift AI

“What sets Lift AI apart is our focus on the business use case and application engineering. We use best-in-class partners and products to move quickly and cost-effectively; the Blues team wakes up every morning and just thinks about this. You could have a whole department to keep devices running—or you can hire Blues.” 


Rob Wurth

CEO Lift AI

Download the Case Study


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