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How Lift AI Transforms Elevator Maintenance with Reliable IoT Connectivity

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    From Reactive Repairs to Proactive Uptime

    Lift AI develops intelligent monitoring systems that give elevator operators unprecedented visibility into their equipment performance. 

    But their ability to prevent downtime for customers was undermined by their own connectivity infrastructure. On July 4th, 2020, a perfect storm of a massive over-the-air update, an unexpected data load, a credit card limit, and no rollback capability took 380 devices offline simultaneously. Lift AI had to ask customers to physically retrieve devices from the tops of elevators, costing thousands of dollars. 

    Their platform was designed to prevent elevator downtime but was itself causing it. 

    Make sure your IoT infrastructure can match the reliability promises you make to your customers, and free your engineering team to focus on the innovations that set you apart. 

    Download the case study to discover how Lift AI rebuilt their connectivity strategy with Blues so that they could prevent downtime for their customers. 

    Download the case study to discover how Lift AI rebuilt their connectivity strategy with Blues so that they could prevent downtime for their customers. 

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.
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    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.

  • Working Remotely Streamline Icon: https://streamlinehq.com

    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.

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    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.

“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

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