Your Gateway to Enhanced
Data Center Performance
Data center operations are becoming increasingly complex. By leveraging the power of sensor data, we are revolutionizing the way we approach operational efficiency, predictive maintenance, and energy conservation.
The Power of IDL (Independent Data Layer)
The Independent Data Layer (IDL) is a game-changer for data center operations. It integrates data from building systems, IoT applications, and cloud data sources, providing a comprehensive view of your data center’s operations. This data-driven approach empowers operators with actionable insights, enhancing the overall reliability and longevity of critical data center infrastructure.
Our system gathers a wide range of data, including server usage, network traffic, weather, temperature, humidity, and vibration sensors. This data is then used to predict HVAC requirements, identify underutilized servers, optimize workload distribution, and allocate resources effectively.
Billions of data points analyzed in near real time...
Cloud Sensor Integrations
Enterprise / Facility
Cognitive Corp’s CA3s (Cognitive Autonomous AI Agents) takes the data gathered within the IDL and turns it into actionable insights. It automates processes, analyzes data, and provides recommendations for action. This leads to optimized performance, predictive maintenance, and efficient resource allocation.
Continuous data gathering
IDL is a cutting-edge AI-powered data layer designed for commercial and industrial spaces. It enables property owners, facility operators, and solution providers to access real-time data from building systems, sensors, devices, and vendor APIs with ease. By automating the data discovery, extraction, and normalization process, IDL simplifies data integration using machine learning. Additionally, the open-source data model (brickschema.org) creates an independent data layer that is both efficient and effective.
Cognitive Autonomous AI Agents, or CA3s, continuously monitor the Independent Data Layer (IDL) by utilizing advanced algorithms and machine learning techniques. They are designed to process and analyze the vast amounts of data gathered by the IDL in real-time.
CA3s constantly scan the IDL for changes, trends, and anomalies. They analyze data from various sources such as server usage, network traffic, weather, temperature, and humidity. This continuous monitoring allows CA3s to provide real-time insights and suggest informed decisions.
Autonomous AI Optimizations
AI automation has become a game-changer in various sectors, including architectural design, sustainability metrics, project management, and facility management. With the use of advanced algorithms and machine learning techniques, Cognitive Autonomous AI Agents (CA3s) can automate complex decision-making processes, reducing costs and enhancing operational efficiency.
This allows teams to focus on more strategic initiatives, improving overall productivity and effectiveness. Additionally, AI automation plays a crucial role in sustainability efforts, minimizing carbon emissions and optimizing resource utilization. In facility management, CA3s are projected to be key players in this growing market, contributing to increased efficiency, cost savings, and improved decision-making.
Our AI-enabled capacity planning and optimization solution for data centers will help you maximize your resources and minimize your costs. Our advanced AI approach will ensure that your data center is always running at peak efficiency, with no wasted capacity or unnecessary downtime. Contact us today to learn more about how we can you optimize your data center operations.