The Industry's Best Automated Building Analytics Software

App Layer: FDD
Data Layer: IDL

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.

Company bio

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.

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"We picked Clockworks because of both ease of use and the robustness of the product. It simply digs deeper, is more pro-active and accurate than any other Analytics tool we have used or evaluated. It raises the value of our service we can provide to our customers.”
Lawrence Trifiletti, Sr. Operations Manager, LONG Building Technologies

Latest Articles

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A Single BACnet Routing Bottleneck at Microsoft Led to 118,000 Hours of Incorrect Equipment Scheduling Before Anyone Recognized It as a Systemic Issue

Brad Bonavida

For years, complaints about comfort at a Microsoft campus were attributed to BAS issues. Packet-level network data told a different story and exposed 118,000 hours of missed runtime.

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🎧 #191: Chris Lelle of Lincoln Property Company on the Keys to Successful FDD Deployment in CRE

James Dice

Episode 191 is a conversation with James Dice and Brad Bonavida from Nexus Lab, as well as Chris Lelle from Lincoln Property Company.

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min read

Goldman Sachs built an OT device qualification lab to stop cybersecurity approvals from becoming rollout blockers—using QA/prod/offline networks to test devices before field deployment

James Dice

Goldman Sachs detailed how it scaled a global smart building program across 94 sites by changing where cybersecurity decisions happen—before devices ever reach the field.

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⭐️ Pro Article
2
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Overcoming the "Nervous" Tenant: DataBank’s Strategy for De-Risking Automated HVAC Optimization

Brad Bonavida

Despite hefty efficiency and sustainability goals, Databank faces a recurring hurdle: customers fear that AI-driven or automated BMS sequences might compromise critical uptime.

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⭐️ Pro Article
2
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Delta/JLL decided to cut out reactive “go in the room and check X” rounds—data layer deployment enabled consistent alarms and checks across concourses and building systems

James Dice

Delta Air Lines and JLL made a deliberate call at LaGuardia Terminal C: stop relying on engineers to walk rooms multiple times a day just to confirm conditions were still acceptable—and replace those rounds with standardized, proactive alerting.

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2
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Clockworks Bet Early on Tech-Enabled Services — Partners Channel is Now Proven Model for Scaling FDD Beyond Owner-Staffed Campuses

James Dice

Five years ago, Clockworks Analytics made a bet: fault detection would only reach most commercial buildings if it could work without deep owner-side engineering teams.

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