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Axiom Cloud - AI-Driven Refrigerant Leak Detection System

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Axiom Cloud's Early Leak Detection module leverages advanced artificial intelligence to identify system-level changes in refrigeration systems that are indicators of potential refrigerant leaks. This technology complies with the Environmental Protection Agency (EPA) requirements and is listed by the California Air Resources Board (CARB) as an approved Automatic Leak Detection (ALD) system. Notably, Axiom's solution does not necessitate new hardware or the installation of sensors such as PPM refrigerant sniffers, enabling a completely remote deployment. By using AI, Axiom identifies shifts in performance metrics, such as superheat values and enthalpy, to provide early warnings of leaks, thereby reducing the need for manual inspections and improving on-site operational efficiency. The system also facilitates compliance through automated tracking and reporting, ensuring businesses maintain comprehensive records meeting EPA and CARB standards. This module is designed to detect leaks early, avert costly downtimes, and help reduce scope 1 emissions associated with high refrigerant leak rates, supporting efficient refrigeration system management.

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  • Complies with 2025 EPA requirements for indirect Automatic Leak Detection (ALD) systems.
  • The California Air Resources Board (CARB) lists Axiom Cloud as an ALD system.
  • Completely remote deployment - no new hardware or site visits required
  • Does not require receiver-level sensors or PPM refrigerant "sniffers"
  • Eliminates the requirement for quarterly manual leak checks
  • Uses AI to identify system-level changes in performance trends that are leading indicators for a leak (primarily, 8+ families of indicators including superheat values, valve positions, component runtimes, enthalpy values, etc.) - patent pending
  • Addresses the primary driver of scope 1 emissions: high refrigerant leak rates
  • Helps identify the locations of leaks to make onsite technicians more efficient

Axiom’s Early Leak Detection module uses AI to identify system-level changes in performance trends that are leading indicators for a leak (primarily, 8 families of indicators including superheat values, valve positions, component runtimes, enthalpy values, etc.). Axiom does not require receiver-level sensors or PPM refrigerant "sniffers" to work, but these sensor values can be used in the model if the sensors are already installed, functioning properly, and calibrated.

Axiom helps identify and solve leaks prior to business losses

In this graph, leaks are typically found at point 7 when temperature alarms are triggered. This can lead to spoilage, downtime, and loss of sales. Axiom enables companies to catch leaks at points 2 or 3, saving not only refrigerant costs, but potential outages.

Axiom can detect leaks anywhere in the refrigeration system, regardless of location. It can also help to isolate the location of leaks to specific cases, case groups, or racks (depending on the specific leak location).

Detecting leaks early is important, but recordkeeping and reporting are also essential parts of compliance with EPA and state-level regulations (from CARB and others). Axiom’s Early Leak Detection module includes seamless compliance recordkeeping and reporting to help customers ensure that they remain compliant at all times.

Using real-time AI-driven monitoring, the system automatically tracks leak events, generates reports, and maintains a comprehensive audit trail – ensuring you’re prepared for any inspection, anytime.

Key Features

  • Rapid Compliance Report Generation: Provide required EPA and CARB ALD compliance reports promptly upon request in case of an unannounced visit by an auditor

  • Comprehensive ALD Audit Trail: Maintain a complete record of ALD system installation and calibration dates at each facility to support recordkeeping requirements

  • Leak Reports: Generate documentation for each leak detected and its location within the facility to support recordkeeping, leak rate calculations, and mandatory self-reporting requirements