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Streets of London

Revolutionizing Mixed Use Operations

Empower your decision-making, improve tenant communication, and boost profitability per square foot without compromising on service quality.

The Power of IDL (Independent Data Layer)

In the world of commercial real estate, IDL collects and analyzes real-time data from critical areas within the property, including maintenance systems, security systems, energy usage, and tenant details.


The IDL gathers a wide range of data, including energy consumption, maintenance schedules, tenant information, and operational data. It also collects data from various building systems such as HVAC, lighting, and security systems.

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


Cloud Sensor Integrations


Geospatial Formats


Enterprise / Facility



Device Mappings

The CA3 can automate various processes such as predicting maintenance needs, optimizing energy usage, and managing tenant communication. For example, it can analyze energy consumption data to identify inefficiencies and suggest ways to reduce energy use. It can also predict when maintenance is needed, allowing for proactive repairs that can prevent costly breakdowns. On the tenant side, it can analyze tenant data to improve communication and satisfaction.


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 optimization in commercial real estate operations can significantly improve operational efficiency and tenant satisfaction. By predicting maintenance needs and optimizing energy use, it can reduce operational costs and increase profitability. The insights provided by the CA3 can support decision-making, helping owners and operators manage their properties more effectively. Improved tenant communication can lead to higher tenant satisfaction, potentially increasing tenant retention and reducing vacancy rates.



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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