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From DIY Disaster to Robust Connectivity
Lift AI develops intelligent monitoring systems that give elevator operators unprecedented visibility into their equipment performance.
They initially built their connectivity solution in-house, but realized they needed a more robust and reliable solution when 380 devices suddenly went offline on July 4th, 2020.
A huge over-the-air update, massive data load, hitting a credit card limit, and no rollback baked in all created the perfect storm. Lift AI had to ask customers to retrieve their devices from on top of elevators, costing thousands of dollars.
What if you could build IoT solutions that never leave you scrambling during critical moments, while focusing your engineering team on innovation instead of infrastructure headaches?
Download the case study to discover how Lift AI transformed their connectivity strategy with Blues.
Enabling Predictive Maintenance Innovation
In this case study, you'll explore the challenges Lift AI faced with their DIY solution, how they leveraged Blues to focus on innovation, and how the right partner can support you as you scale.
The True Cost of DIY IoT Infrastructure
Learn how a perfect storm of over-the-air updates, data loads, and billing issues created a 380-device outage and why specialized connectivity expertise matters
Remote Device Transformation Capabilities
See how device firmware updates (DFU) enabled fundamental platform evolution without the logistics nightmare of physical device access
Engineering Resource Optimization
Discover how outsourcing connectivity infrastructure allowed Lift AI's team to focus entirely on developing breakthrough elevator monitoring algorithms
“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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