April 2024. IXA IA Research Team AI.

Introducing (SREI) Intelligent Spatial Reorganization System: The engine behind IXA AI.

At Ixa IA, we have developed an innovative artificial intelligence system called (SREI).

This system is able to identify and visualize perimeters, no matter the given perimeter (the perimeter is equal to an infinity of possible shapes).

SREI based on distribution rules (this depends on each company, such as a chain of cafes, gyms or restaurants) will give a single optimal distribution response to that perimeter. Facilitating the direct modeling of the spatial layout and furniture placement.

From the infinite, we move to the finite.

Learning Architectural Design from Artificial Intelligence:

Towards a Future where Architects Create with Buttons, not Lines.

Why?

"IXA AI seeks to understand how AI can transform architecture, enabling the creation of spaces we could never have imagined before."

Background:

The architectural industry has undergone a significant transformation with the integration of advanced technologies, beginning with the advent of Computer Aided Design (CAD). CAD marked a revolutionary era, enabling architects and designers to produce plans with unprecedented accuracy and speed.

Subsequently, the implementation of Building Information Modeling (BIM) deepened these capabilities, facilitating a more holistic approach that includes everything from visualization to project management to structural analysis to building performance simulation.

However, despite these advances, the construction industry (where the architecture industry is located), which accounts for approximately 14% of global GDP, only receives 1.06% of total venture capital funding, according to Cemex Ventures report 2024. This imbalance highlights a huge opportunity for investment and innovation, especially with the advent of emerging technologies such as artificial intelligence (AI).

AI is shaping up to be the next big breakthrough in the technological evolution of architecture. Its ability to process and learn from large volumes of data allows design processes to be optimized, from initial conception to project execution.

Why an AI that distributes spaces?

How does it work?

Cause:

The software implements a focus on semantic tagging and structured analysis of extensive repositories of architectural plans.

Each plan is digitized and tagged with detailed metadata that describes specific features, such as furnishings, zoning and functionality, facilitating advanced processing and efficient searching within the database.

Our artificial intelligence called Intelligent Spatial Reorganization System (SREI), focuses on the interpretation of coordinates within an XY plane, operating under a rigorous framework defined by pre-established rules that guide the distribution of space.

Using advanced computational geometry algorithms, the AI analyzes and assigns XY coordinates to efficiently map elements within the designated space.

This approach allows AI to visualize and manipulate spatial data as a series of points on a plane, each represented by its specific coordinates that correspond to the precise location of architectural components.

These algorithms not only calculate the best positions for each element based on maximizing space use and adherence to requirements.

By treating design as a point optimization problem in a two-dimensional space, AI can execute complex design solutions quickly and accurately, significantly reducing project development time and increasing accuracy in the implementation of architectural plans.

These rules are adaptive and can be configured to meet the particular specifications of any project, ensuring that the proposed layout maximizes space utilization while conforming to the client's regulations and functional requirements.

Upon approval of the 2D configuration, the design is automatically exported to Autodesk Revit for transition to a three-dimensional model. The software automates the construction of structural elements, installations and finishes.

SREI

First steps

Evidence:

Designing each new branch individually is a considerable challenge in the field of commercial architecture, mainly due to the manual approach that still prevails in many processes.

Despite the technological solutions available, such as CAD blocks or preset designs in Revit with their families of components, the process retains a significant artisanal character. Each project requires adjustments and customizations that, although facilitated by these tools, do not completely eliminate the need for manual intervention.

This reliance on manual labor not only consumes essential time but also introduces the potential for inconsistencies and errors, which can lengthen lead times and increase operating costs.

In this context, the adoption of more automated and artificial intelligence-based techniques could represent a fundamental shift, optimizing the design process and freeing up valuable resources to focus on more innovative and strategic aspects of architectural development.

The future

Our long-term vision for the implementation of artificial intelligence Intelligent Spatial Reorganization System (SREI) in the architectural field goes beyond the simple design of spaces and furniture. We aim to expand this technology to cover all aspects of executive projects, including specific details such as essential structural systems.

In the long term, we are also committed to making our AI solutions accessible to everyone, regardless of their technical background. This involves simplifying the AI training process so that anyone, from small architecture firms to large corporations, can easily adapt and employ this technology. We want to democratize access to advanced design and planning tools, allowing innovation in architecture and construction to be more inclusive and widely distributed.

To achieve this vision, continued collaboration with architects is essential. We clearly understand that artificial intelligence, no matter how advanced, is not intended to replace the architect. Rather, we conceive it as an additional tool that complements and expands human capabilities.

We ensure that the technology is sensitive to the complexities of architectural design and respects the aesthetic and functional principles that only an experienced professional can offer.

This vision not only redefines how architectural projects are conceptualized and executed, but also sets a new standard in preparing the industry for the challenges of the future.

In our effort to revolutionize the field of architectural design, we have carried out a series of extensive tests with the objective of evaluating the ability of our system to adapt and optimize the distribution of furniture in a variety of perimeter profiles.

To ensure the relevance and applicability of our results, samples of diverse furniture, representative of a retail store environment, were selected as a first test, ranging from shelves and counters to display areas and customer service points. Through this process, our AI was subjected to rigorous testing that included adapting to multiple store profiles, from compact, efficient spaces to vast retail areas with complex layout needs.

These experiments are just the first step towards full validation of our technology. We recognize that the controlled testing environment may differ from the actual situations our clients will face. Therefore, it is our commitment to continue the development and refinement of our AI, to guarantee its adaptability and efficiency in the dynamic world of architectural design.

Note: It is important to highlight that the tests referenced here were carried out in a controlled environment and specifically designed to evaluate the functionality of the AI system (SREI). The results obtained may vary when applying the software in real conditions and with design parameters that differ from those of our test environment. Additionally, the behavior and effectiveness of AI (SREI) can fluctuate depending on the complexity and specific characteristics of each architectural project.

Our vision

The test was divided into three parts and was carried out with 25 architects, who performed the same tasks to obtain an average of the time spent, measured in minutes.

Test one: Modeling the exterior of a store.
Test two: Organization of furniture within the store, following a set of pre-established rules.
Test Three: Modeling the exterior of the store, including the sidewalk and parking area.

Time test Man vs AI.

Detailed interior layout plan of a supermarket, color-coded with precise labeling of furniture sections to facilitate spatial analysis and establishment management.

Simple distribution graph, on a perimeter and distribution of furniture in a store, made by AI.

Integration of AI distribution, towards Autodesk Revit, for 3D modeling of plans.

We are developing a platform so that our AI (SREI) is available to everyone. Not only for the corporate architecture of large companies, but also for the spaces we inhabit every day, such as our homes and apartments.
Architecture is present in all aspects of our lives, and we aspire for our AI (SREI) technology to be universally integrated in the future, designing everything from the largest buildings to the most intimate residential spaces.

The video is a demonstration of what it would look like.

On this scale, a score of 10 indicates extremely high accuracy, comparable to that of a human, while a score of 0 represents no accuracy at all

- Try one: Accuracy in furniture placement: Refers to the ability of the AI system (SREI) to place the furniture on the architectural plan accurately.
- Try two: Respect layout rules: Evaluate how the AI (SREI) follows the architectural layout rules predefined by the company..
- Try three: Distribution logic: Analyze the efficiency of the AI system (SREI) in assigning zoning, this is key as a first step, before locating the furniture, the zoning must have a logic according to the rules .
- Try four: Furniture logic: Consider the system reasoning (SREI) when selecting and placing each piece of furniture, taking into account functionality, to ensure that each element contributes positively to the overall design.

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