Backpack is a comprehensive solution designed to digitize the built world. By collecting data from documents, integrations, surveys, and annual site visits, Backpack aggregates and centralizes building information, ranging from property characteristics, leasing data, utilities, equipment, real-time data, capital plans, and more. This digital foundation powers built-in tools like automated Energy Star scoring and compliance tracking, while providing the insights needed to effectively run decarbonization programs, prioritize capital projects, lower insurance premiums, and enable Backpack’s Marketplace of products and services to offer cash-back rewards.
Backpack was born out of an acquisition of Bractlet in 2021, a software company that developed the industry’s most advanced energy analytics and modeling technology. Motivated by the philosophy that accurate data is the key for driving change, their team is focused on arming the built world with comprehensive, verified, and accessible property data – transitioning the industry away from the days when data sits siloed onsite, scattered across various spreadsheets, leaving you with more questions than answers.
With digitized and up-to-date information, Backpack is empowering stakeholders to leverage robust information to implement sustainability initiatives, provide intelligence for better planning, effectively track results, and tap into opportunities that increase profit.
QuadReal runs 60 properties on one cloud platform, with a centralized offsite tech team quarterbacking site staff through prioritized alarms built for non-FM readers.
Hannah Baker, engineer at Willow, walks through how DFW Airport built a CBM program that actually stuck, from training a non-technical QA team to triage thousands of faults, to graduating recurring issues into automated work orders, to tracking a single KPI called 'unsuccessfully actioned' that finally gave leadership visibility into whether closed work orders were actually fixing the problem.
Jose de Castro, CTO of Mapped, shows how one of the world's largest retailers moved restroom operations from schedule-based janitorial rounds to condition-based workflows by combining foot traffic sensors, flush counts, soap levels, and occupancy predictions into AI-summarized work orders that land directly in the existing CMMS, with no new dashboards or tools for technicians to learn.
Brad Dameron from the University of Iowa's Asset Optimization Team and Katie Rossman from Clockworks Analytics walk through how Iowa handles 3,500 faults per day without burying their maintenance shops, showing the exact triage, routing, and closeout workflow they built to turn fault detection into planned work orders that look and feel identical to every other work order in the system.
Tearle Whitson, VP of OT at Metronational and a 26-year facilities veteran, digs into the infrastructure layer that makes or breaks CBM programs—explaining why bad sensor data, uncalibrated instruments, and communication failures will undermine your fault detection before you ever get to triage, and how to build the 'building DNA' foundation that everything else depends on.
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