Unleashing the Power of Real-Time Data for Global Enterprises
Seamlessly integrating building data from multiple sources across various locations, we empower executive teams to make informed decisions, accelerate ESG initiatives, and optimize resource management.
The Power of IDL (Independent Data Layer)
The Independent Data Layer (IDL) is a valuable tool that collects and analyzes real-time data from various sources within a workplace. This includes data from sensors, utility meters, and IoT devices monitoring various aspects of the workplace environment.
The IDL gathers a wide range of data, including real-time information on air quality, temperature, occupancy, energy usage, and the condition of various building systems. This data is used to monitor and optimize various aspects of the workplace environment.
Billions of data points analyzed in near real time...
60+
Cloud Sensor Integrations
14
Geospatial Formats
40,000+
Device Mappings
The CA3 is a powerful tool that can streamline and automate various processes. By analyzing occupancy and energy usage data, it can make adjustments that help reduce energy waste and save costs. Additionally, the CA3 can provide valuable insights for proactive maintenanceminimizing unplanned downtime. It also supports ESG initiatives by automating the collection of Scope 1 & Scope 2 data.
01
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.
02
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.
03
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.
Strategic
Benefit
integrating our AI approach into the workplace can have a significant impact on operational efficiency, energy management, and employee wellbeing. By utilizing real-time data to optimize workplace environment, businesses can create more flexible and comfortable workspaces, reduce energy consumption and costs, and enhance health and safety. Additionally, the predictive maintenance capabilities can minimize downtime and ensure uninterrupted operations.
In the dynamic world of architecture, engineering, and construction (AEC), a transformative vision is emerging. This vision aims to bridge the gap between the traditional, fragmented nature of CRE portfolio optimization and the integrated, data-centric approaches seen in modern manufacturing. This vision is encapsulated in the concept of the digital thread.
The digital thread is a groundbreaking framework that aims to unify the various data strands that run through a built environment life cycle. The digital thread offers a ‘Single Source of Truth’ — a centralized repository that serves as the definitive reference point for all construction objects and their associated data.
The potential of this unified data stream is immense. It enables improved collaboration, enhanced efficiency, and greater transparency across all phases of the construction lifecycle. The analogy with the manufacturing sector’s use of Product Lifecycle Management (PLM) systems is particularly relevant. In manufacturing, the adoption of an integrated data environment has been a game-changer, enabling seamless collaboration and information sharing.
Authors: Gordon Wright, James C. Waddell, Alex CA3
