Talk to your building design with Daisy AI

United Kingdom | 26 October 2023

With AI models, Daisy fosters a decision-making process that challenges traditional design preconceptions and promotes the discovery of innovative, building solutions.

At the recent Advances in of Architectural Geometry conference in Stuttgart, Daisy’s lead developer, Daniel Chauhan, had the opportunity to present some of the key workings that go into Daisy. Both of the papers are available from Research Gate; A multi-objective design tool for decarbonising buildings at the concept stage and Daisy: A Data-Driven Multi-Objective Design Tool. And while not every design engineer also needs to be building AI models, understanding their utility and application via a tool like Daisy illustrates just how transformative they can be in the quest to achieve a net-zero built environment.

Building Design Intuition

Navigating Complexity with Intelligent Insights

In the world of architecture, intuition is often a silent guide. However, Daisy transforms this tacit knowledge into an empirical, data-driven model.

The introduction of Generative Pre-trained Transformer (GPT) models as a conversational co-pilot elevates this experience. These models provide real-time, contextually aware insights and recommendations, effectively transforming data into actionable intelligence.

Figure 1: Daisy-AI screenshot

With Daisy-AI, building design intuition is not just about leveraging years of experience but augmenting that wisdom with the precision, speed, and intelligence of AI.

Daniel Chauhan Technical Director

Daniel Chauhan Technical Director

Seamless Design Exploration

Unleashing the Power of AI for an Enhanced Design Experience

Daisy offers architects and designers a gateway into a new era of seamless design exploration. Physics-informed probabilistic regression models aid in the dynamic assessment of a myriad of design variables. It moves beyond the constraints of mean predictions, offering insights into the possible range of outcomes for different design parameters, painting a holistic picture of the architectural landscape.

The use of random forest algorithm, a foundational machine learning model, enables this more in-depth exploration. By quantifying and ranking variable importance, designers can intuitively navigate a multi-dimensional design space with ease. This integration of machine learning into the design process fosters a user experience that is not just informed but is responsive, adaptive, and highly intuitive.

Figure 2: These charts show how different building features, like window size or wall area, influence certain outcomes, like energy use. Bigger bars mean that the feature has a stronger impact. The charts help us understand which features matter most for different outcomes

Challenging Preconceptions

A Journey from Tacit Knowledge to Empirical Intelligence

Daisy is not just a tool but a catalyst for transformation. It invites professionals to challenge pre-established norms and delve into a data-driven world where design assumptions are continuously tested and refined.

And its latest feature, the integration of GPT models, accentuates this experience. It does not just respond but engages, offering insights, sparking debates, and inspiring innovations. Every interaction is an opportunity to learn, adapt, and evolve. In the path to decarbonising buildings, Daisy-AI emerges not just as a tool but as a companion that empowers architects to move beyond the known, explore the uncharted, and redefine the paradigms of sustainable and efficient building design.

Conclusion

A New Dawn in Building Design

Daisy embodies the synthesis of artificial intelligence and human creativity. It’s where complex algorithms meet creative minds, where data meets intuition, and where preconceptions meet empirical validations. As we navigate the intricate path to a net-zero built environment, Daisy-AI emerges not just as a tool but as a companion, a generative co-pilot, illuminating the journey, and laying down new foundations of intuition, innovation, and intelligence in building design.

Every feature, from its adaptive design space exploration facilitated by physics-informed probabilistic regression to its intricate intuition building powered by random forests and the challenging of norms empowered by GPT, is meticulously crafted to not just inform but transform – heralding a new era where design is not just seen as an art but an empirical, adaptive, and evolving science.

Daisy - A parametric design tool to revolutionise early design

Make better decisions on your design from the start. Combining digital and AI with a core focus on sustainability and decarbonisation, Daisy brings a new way of looking at parametric design, by including it at the earliest stages of your project.

Talk to your building design with Daisy-AI