ARIA

ARIA is an AI-powered building engineer designed to optimize building management through real-time insights and intelligent recommendations.

ARIA combines BrainBox AI's core HVAC energy optimization technology with a building's data and the capabilities of advanced large language models (LLMs), providing a comprehensive building management tool that offers AI-driven insights and conversational interaction, making complex data accessible and actionable.

ARIA has been expertly trained on countless scenarios and vast amounts of data specifically related to HVAC equipment, building management systems, and any external sources that may affect a building’s energy and emissions. Additionally, it has access to the most recent data available on the internet.

This fusion allows ARIA to offer real-time, AI-driven insights on energy and emissions alongside advanced conversational and information retrieval features.

Facility management teams, sustainability leaders and building operators will benefit from ARIA on a daily basis, but anyone involved in a building decision-making process or daily operations will get value.

To access ARIA for your building, it's essential to have BrainBox AI technology already installed. BrainBox AI serves as the foundational system that ARIA enhances with its advanced AI capabilities for building management. The installation of BrainBox AI is a prerequisite, enabling ARIA to leverage the existing infrastructure for optimizing energy efficiency and operational decisions. This setup ensures that ARIA can fully utilize its advanced algorithms and GPT features to provide comprehensive insights and tailored learning experiences for users.

ARIA stands out due to its specialized focus on building management, offering AI-driven insights tailored for energy efficiency, sustainability, and operational optimization. Unlike general AI tools, ARIA is designed specifically for the complexities and unique needs of building operations.

Additionally, ARIA differentiates itself by leveraging BrainBox AI's core technology, which utilizes advanced algorithms to analyze both building data and external factors such as utility tariffs, weather forecasts, and grid information. This allows ARIA to uniquely optimize building energy efficiency. Moreover, ARIA makes energy and emissions data easily accessible, presenting it through visual formats like graphs, charts, and downloadable reports, enabling stakeholders to make quicker, more informed decisions. 

Lastly, ARIA mirrors the adaptability and learning potential of an LLM, customizing its functionality based on user interactions. This means ARIA offers tailored insights and recommendations for building management while constantly improving its accuracy and relevance over time, learning from each user's preferences, decisions, and feedback. This adaptive learning enhances the user experience, making ARIA an increasingly intuitive assistant for optimizing building operations. 

By understanding and monitoring building emissions, ARIA facilitates informed decision-making and targeted interventions to reduce carbon footprints, contributing to broader sustainability goals and fostering environmentally responsible building management practices.

ARIA prioritizes user privacy and data security. The information from your building is used exclusively for providing insights and recommendations specific to your operations and improving system performance, with no other purposes beyond enhancing your user experience.

The security of your data is our top priority. We're proud to be SOC 2 certified, affirming our commitment to the highest standards of security, confidentiality, and privacy. Additionally, our partnership with AWS Bedrock leverages a highly robust cloud infrastructure to safeguard your data. Importantly, ARIA also operates on a closed-loop system, meaning your data is never used to inform anything outside your specific wants, needs, and purposes. With ARIA, you can trust that your building's data is not only secure but also exclusively utilized to optimize your own operations and decision-making processes.