Clockworks Analytics is an essential smart building intelligence platform that provides data-driven insights into property operations for facility and energy managers. Clockworks’ Fault Detection and Diagnostics (FDD) platform plugs into existing BMS and metering systems and analyzes thousands of HVAC data points to prioritize the most urgent tasks related to energy performance, indoor air quality and equipment operation. Their unique information model goes beyond simple fault detection by identifying the relationships between issues, diagnosing the root cause, and providing clear, recommended actions.
Clockworks Analytics was founded in 2008 within MIT’s Building Science Department. Since its founding, their team has been focused on equipping clients with cutting-edge technology to significantly enhance their operations and improve their buildings’ performance. This means breaking the existing cycle of reactive operations and maintenance in the building industry. They provide software and intelligent analytics that empowers our clients to drive proactive and strategic operations—ushering in the next generation of smarter facilities management.
Their enterprise customers and controls and mechanical service partners representing 450M square feet in 30 countries across the world, have saved over $37M and completed 37 tasks using Clockworks’ analytics-based monitoring to proactively address building health issues, identify energy savings, and avoid equipment failures.
Despite unusable BMS data at one pilot site and slower-than-expected operational cost savings, Amazon's FDD pilot still delivered enough value to trigger a broader rollout across its portfolio.
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.
Travis Criner, Executive Director of FM Programs at CBRE, makes the case that the hardest part of condition-based maintenance isn't the technology—it's redesigning your maintenance workflows, from validating which PM tasks actually need to exist, to updating CMMS job plans, renegotiating third-party contracts, and deciding what to do with the technician capacity you free up.
James Dice introduces the Nexus Labs Condition-Based Maintenance Playbook, built from 50+ case studies, walking through why CBM is best understood as a layer on top of existing maintenance programs—not a replacement—and outlining the eight-step framework for setup, piloting, and rollout that the industry's leading building owners are using to reduce reactive work, extend asset life, and prove value to leadership.
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