PHAIDRA Trademark

Platform as a service (PAAS) services featuring software platforms for deploying AI agents to manage and optimize industrial systems and physical plant infrastructure, increase data center efficiencies, scale data center and other industrial systems’ capacity, manage energy usage, monitor, predict and prevent thermal spikes due to IT load spikes and stranded power, and increase graphics processing unit (GPU) reliability and performance; management services for data center networks; Software as a service (SAAS) services featuring software using artificial intelligence (AI) to enable autonomous control, operation, and resource management of industrial systems, power infrastructure, and data centers; Infrastructure as a service (IAAS) services, namely, hosting computer software platforms for deploying AI agents to increase data center efficiencies, scale data center and other industrial systems’ capacity, manage energy usage, increase available power, conduct detailed analysis of data, troubleshoot operational issues, monitor, predict and prevent thermal spikes due to IT load spikes and stranded power, and increase graphics processing unit (GPU) reliability and performance; Artificial intelligence as a service (AIAAS) featuring software using agentic artificial intelligence for deploying AI agents that monitor and manage specific data center infrastructure components autonomously, and manage liquid cooling systems in data centers to predict and prevent thermal spikes; Platform as a service (PAAS) services featuring software platforms using large language models (LLMs) and artificial intelligence (AI) for accelerating data center operations, analyzing and providing insights into data center operating conditions, increasing available data center power for revenue generating tokens, troubleshooting data center operational issues, and meeting the demand of AI workloads; Platform as a service (PAAS) services featuring software platforms for providing AI agents using artificial intelligence (AI) that allow data center operators to understand operating conditions, increase available data center power for compute-intensive workloads, including generative AI inference and digital asset processing, conduct detailed analysis of data, and troubleshoot operational issues; Artificial intelligence as a service (AIAAS) featuring software using agentic artificial intelligence (AI) for data interpretation, predictive modeling, and human-machine interaction