Our platform integrates directly with your building automation system (BAS) through industry-standard protocols like BACnet, Modbus, and web APIs. For systems like Tridium, Schneider Electric, Johnson Controls, ABB, Siemens, or Automated Logic, we have pre-built connectors that establish secure, read-write communication. This connection allows our platform to execute automated tests by sending commands to your systems, monitoring responses, and collecting performance data—all without requiring hardware installation or system modifications. The integration process typically takes a day and can be performed remotely with minimal disruption to your operations.

When the platform initiates a test sequence, it follows a carefully orchestrated process: First, it establishes baseline conditions and verifies systems are in a testable state. Then, it executes a series of commands that exercise the equipment through its operating ranges—adjusting setpoints, modulating outputs, and simulating various load conditions. Throughout this process, the system collects high-resolution data on how your equipment responds, comparing actual performance against design parameters and manufacturer specifications. All of this occurs automatically, typically during unoccupied hours, with comprehensive safety parameters to ensure building operations aren't compromised.

Lifecycle Commissioning™ uses a library of equipment-specific test sequences developed by commissioning experts with decades of field experience. These sequences are tailored to each equipment type—from air handling units and VAV terminals to chillers and boilers—and are continuously refined based on results from thousands of test executions. The platform automatically adapts these sequences to your specific equipment configurations and operating parameters. Additionally, our machine learning algorithms analyze test results to identify anomalies and improve testing precision, ensuring that every verification provides accurate, actionable insights regardless of system complexity.

When the system detects performance that doesn't match design specifications, it initiates a multi-step response: First, it verifies the anomaly through repeated testing to eliminate false positives. Once confirmed, the platform categorizes the issue by type, severity, and potential impact. It then generates detailed diagnostic information including affected components, trend data, and specific performance parameters that don't meet specifications. This information is delivered through customized notifications to the appropriate team members, along with recommended corrective actions based on the specific issue identified. For critical systems, this process can include immediate alerts to prevent equipment damage or operational disruption.