Axiom Exergy provides AI-powered refrigeration management software that enhances existing cooling systems with cloud connectivity for real-time monitoring and predictive maintenance. This technology reduces energy costs by 11%, minimizes refrigerant leak rates by 39%, and decreases service calls, addressing the challenges of rising operational expenses and regulatory compliance in grocery and cold storage sectors.
Funding
Funding not disclosed
Founders
Product
Problem
Grocery stores and cold storage facilities face challenges in managing refrigeration systems, including rising energy and maintenance costs, refrigerant leaks, regulatory compliance, and a shortage of qualified technicians. Inefficient refrigeration leads to increased operational expenses, potential food spoilage, and environmental concerns.
Solution
Axiom Exergy offers an AI-powered refrigeration management software platform that connects to existing cooling systems, providing real-time monitoring, predictive maintenance, and energy optimization. The cloud-based platform uses machine learning algorithms to analyze system performance, detect anomalies, and predict potential failures. By optimizing refrigeration operations, Axiom Exergy helps businesses reduce energy consumption, minimize refrigerant leaks, decrease service calls, and ensure compliance with environmental regulations. The platform's modular design allows customers to select the specific capabilities they need, including energy efficiency, predictive maintenance, early leak detection, and demand response.
Target Audience
The primary target audience includes grocery store chains, cold storage operators, and facilities management companies seeking to optimize refrigeration performance, reduce costs, and improve regulatory compliance.
Features
- Enterprise Visibility: Provides a centralized view of all refrigeration systems across multiple locations.
- Energy Efficiency: Optimizes refrigeration system setpoints and algorithms to reduce energy consumption without requiring new hardware.
- Predictive Maintenance: Uses AI-driven digital twin models to identify potential issues and generate predictive work orders with root cause analysis.
- Early Leak Detection: Detects refrigerant leaks early using AI-powered analysis of system performance trends, complying with EPA and CARB regulations.
- Demand Response: Enables participation in demand response programs by pre-cooling and load-shedding refrigeration assets, generating revenue from utilities.
- Multi-site reporting: Provides real-time access to refrigeration and building power data, with energy and dollar savings reporting by location.
- Automated work order drafting: Simplifies maintenance workflows by automatically generating work orders with relevant data and root cause analysis.
- Compliance recordkeeping and reporting: Streamlines compliance with EPA and state-level regulations through automated tracking of leak events and generation of compliance reports.