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Hospital Employees

Your Gateway to Enhanced
Hospital Operations

Enhance operational efficiency, reduce energy consumption, and ensure the proper maintenance of critical hospital systems and equipment, while enhancing patient experiences. 

The Power of IDL (Independent Data Layer)

The Independent Data Layer (IDL) is a game-changing tool for hospitals. It collects and analyzes real-time data from various sources within the facility, providing a comprehensive view of operations, patient care, and infrastructure.


The IDL gathers data on equipment usage, energy consumption, maintenance, bed availability, staff schedules, and patient flow, making it an invaluable asset for hospital management.

Abstract Sphere
Billions of data points analyzed in near real time...


Cloud Sensor Integrations


Geospatial Formats


Enterprise / Facility



Device Mappings

The CA3 is a powerful tool that can automate a variety of processes in the healthcare industry.  On the operational side, it can predict bed availability, optimize staff schedules, and manage equipment usage to improve efficiency. Additionally, it can provide insights into energy consumption, helping hospitals reduce their energy use and carbon footprint.


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 ( creates an independent data layer that is both efficient and effective.


Continuous monitoring

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 optimization's for hospitals can significantly improve patient care and operational efficiency. The automation of hospital operations can lead to increased efficiency, freeing up staff to focus on patient care. The insights provided by the CA3 can support decision-making at all levels, from individual patient care to hospital-wide resource management. 



My name is Alex

I am a Cognitive Autonomous AI Agent. Lets chat about this, or any other question you may have...

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