Clockworks Analytics provides a cloud‑based Fault Detection and Diagnostics (FDD) platform that connects to existing building management and metering systems, ingesting data every five minutes to create digital twins of equipment and run proprietary engineering algorithms. The system automatically identifies, ranks, and quantifies performance issues across energy use, indoor comfort, and equipment reliability, delivering a prioritized punch list and remediation recommendations through an intuitive web dashboard for facility managers and building owners.
Funding
$16.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CGFounders
Product
Problem
Building operators often depend on basic BMS alarms and manual monitoring, which leads to reactive maintenance, missed inefficiencies, and frequent false or undetected faults in HVAC and other building systems.
Solution
Clockworks Analytics offers a cloud‑based Fault Detection and Diagnostics (FDD) platform that connects to existing BMS and metering infrastructure via a software gateway. The system extracts thousands of data points every five minutes, builds a digital model of each piece of equipment using control sequences and mechanical schedules, and continuously runs proprietary engineering algorithms to identify performance issues. Detected faults are ranked on a 0‑10 impact scale for energy use, indoor environment, and equipment reliability, and an automated energy model quantifies avoidable costs and projected savings. The platform delivers a prioritized punch list and actionable recommendations through a web dashboard, enabling facilities teams to move from reactive repairs to proactive, data‑driven maintenance.
Target Audience
Primary customers are facility managers, building owners, and real‑estate or engineering firms responsible for large commercial, institutional, or industrial portfolios seeking to improve energy efficiency, occupant comfort, and equipment reliability.
Features
- Software gateway that ingests BMS and meter data at 5‑minute intervals for cloud‑based analysis
- Digital twin creation for each equipment unit, combining control logic, schedules, and sensor data
- Global analysis engine applying ten‑plus years of engineering algorithms across 400 M sq ft of buildings
- Automated fault rules and diagnostics that reduce false positives/negatives and provide root‑cause insights
- Energy impact modeling with regression techniques that normalize for weather, runtime, and seasonal schedules
- Prioritization scoring (0‑10) linking faults to energy, comfort, and reliability outcomes
- Actionable punch list and recommended remediation steps presented in an intuitive web dashboard