Kryora
Kryora is an AI platform that optimizes data-center cooling in real time, reducing energy consumption, costs, and carbon emissions without hardware changes
About Us
Kryora is an AI-powered software platform that optimizes cooling systems in real time for data centers and other mission-critical industrial environments, reducing energy consumption, operating costs, and carbon emissions without requiring hardware changes.
Cooling represents 40–60% of total electricity usage in data centers and large industrial facilities, especially in AI-driven environments where heat loads are extreme and highly dynamic. Most cooling systems today rely on static rules and conservative safety margins, leading to significant energy waste.
Kryora ingests real-time data from sensors, BMS, and operational systems, including temperature, airflow, power usage, and workload behavior, and applies machine-learning models to continuously optimize cooling performance. Unlike rule-based control, Kryora dynamically adapts to changing conditions, including high-density AI racks, while operating safely within thermal and reliability constraints.
The platform integrates with existing cooling infrastructure (CRAC/CRAH, chillers, air and liquid cooling systems), deploys quickly, and requires no physical retrofits. Kryora can reduce cooling energy consumption by up to 30%, directly lowering electricity demand, peak grid load, and CO₂ emissions.
By improving cooling efficiency at scale, Kryora enables more sustainable, resilient, and cost-effective growth of AI data centers and industrial facilities
Relevant Challenges
Operational Systems
Kryora improves the operational efficiency of mission-critical cooling systems by applying AI-driven intelligence to existing HVAC, cooling, and thermal management infrastructure. Our platform continuously analyzes real-time operational data from chillers, CRAC/CRAH units, air handling systems, sensors, and control systems to identify inefficiencies caused by static setpoints, over-provisioning, and risk-averse operation. By optimizing how cooling systems are operated, without requiring hardware replacement, Kryora reduces energy waste, stabilizes thermal conditions, and improves system reliability across data centers, hospitals, industrial facilities, and other mission-critical environments
Energy Consumption
Kryora directly addresses excessive energy consumption in mission-critical facilities by targeting cooling, which typically represents 30–60% of total energy usage. Using AI and machine learning, the platform continuously predicts thermal demand based on workload, occupancy, environmental conditions, and historical behavior. Kryora then optimizes cooling operation in real time, reducing overcooling and unnecessary safety margins. This results in measurable, persistent reductions in total facility energy consumption while preserving reliability and compliance with operational standards
Decarbonizing Data Centers
Kryora accelerates the decarbonization of data centers by systematically reducing cooling-related electricity consumption through intelligent, real-time optimization. By eliminating excess energy usage caused by conservative operating margins and static control strategies, Kryora delivers persistent reductions in carbon emissions tied to digital infrastructure. The platform also enables more flexible and efficient cooling operation, supporting sustainability goals and helping data centers scale AI and compute capacity while minimizing their environmental footprint
