Democratizing Design in Physical Industries: Francesco Iorio, Co-Founder and CEO, Augmenta

Eclipse

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Aug 8, 2024

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6 MIN

Welcome to Eclipse’s Industrial Evolution Innovators Series, an introduction to the founders and companies shaping the New Economy.


Technology pushes the boundaries of what’s possible, reshaping entire industries and expanding human capabilities. From the printing press to the Internet, each leap has democratized access to knowledge and tools, transforming how we live and work. Historically, automation improved systematic tasks. Today, AI is breaking new ground by collaborating with human operators on creative work, delivering results greater than the sum of their parts. This human-AI partnership enables scalable, faster, more precise, data-driven, and enduring work than ever before. 

Augmenta, led by Co-Founder and CEO, Francesco “Frio” Iorio, is redefining how physical industries use technology by pioneering an AI-powered generative design platform that automates end-to-end building design and engineering. Frio, a trailblazer in "generative design" since his days at Autodesk in the 2000s and long before the generative AI craze, has championed an approach where designers and engineers input functional requirements and constraints, and the AI generates efficient design solutions — a major shift from traditional manual CAD tools.

Under Frio’s leadership, Augmenta is poised to transform industries on the brink of disruption, starting with construction. The team’s vision for the $16 trillion construction industry is ambitious: design buildings quickly, cut risks and costs, boost energy efficiency, use sustainable materials, and minimize waste. Augmenta’s AI-driven construction platform will use automated digital design to meet the global demand for new buildings with unprecedented efficiency. 

We sat down with Frio to learn more about his entrepreneurial journey, his early role in developing generative design, and his vision for the future of designing the physical world around us.

Francesco Iorio as part of a panel for Suffolk Technologies’ AI+Design for the Built World event in Boston, 2024.

Eclipse: Tell us about yourself and your background.

Frio: I'm a true computer science nerd, deeply passionate about optimization, from computer gaming to high-performance computing. Both demand precise hardware management and optimization. This focus on peak performance drives my aversion to inefficiencies and underpins my mission with the creation of Augmenta to combat waste and maximize resources.

Eclipse: Tell us about Augmenta and the problem you're going after.

Frio: Our mission at Augmenta is to elevate the human capacity to understand, interact with, and shape the world. Unlike traditional tools like drafting tables or computer aided design (CAD) software that merely document existing ideas, our AI-driven platform generates new ideas, implements them, and facilitates learning. Augmenta’s technology translates a user's objectives into practical solutions effortlessly, without the need for hard coding or manual instructions. 

This approach can be applied to different industries:

- Construction engineering: Designing building engineering systems solely from their functional environment. 

- Advanced manufacturing: Creating multifunctional mechanical systems that meet prescribed physical requirements. 

- Microelectronics: Designing integrated circuits and circuit boards based on their required functional specifications.

Francesco Iorio during the years he worked at Alias Systems Corp around 2004.

Eclipse: Prior to founding Augmenta, you led computational science research at Autodesk. How did this research inform your thesis for Augmenta?

Frio: I joined Autodesk in the late 2000s to explore the transformative potential of cloud computing. Coming from a background in large-scale computing at IBM Research, my role was to chart a path forward using this large computing power that had suddenly become accessible and democratized.

It was then that I realized the enormous potential for a new generation of tools that could assist in the thinking process for complex problems in a way that exceeded human capability. How can we turn computers from passive actors that assist in documenting one’s thoughts, to active partners that act based on your intention to solve a problem? 

This led to the development of "goal-directed design," which was later renamed "generative design." This methodology and the related software systems where users specify the objectives and constraints of a design, and the software automatically — and very quickly — generates efficient designs based on those criteria. This approach revolutionized traditional design practices by enabling computers to actively participate in the creation of designs tailored to specific needs.

Eclipse: What made you select construction as the first industry to go after and apply this technology?

Frio: After a few years of research and development, I realized that the construction sector was in dire need of these innovative concepts. Design is at the heart of the entire process — it ties aspirations and intent with reality, bridging all the stakeholders’ requirements with the physical world. In construction, designers and engineers spend weeks or even months and years crafting a single, very valuable set of building blueprints that is necessary for estimation, planning, procurement, field work, and alignment among all stakeholders. Unlike other industries like manufacturing, that design is rarely reused. Moreover, construction significantly impacts environmental and public health. For instance, construction and demolition waste constitutes over 25% of the total waste stream in the U.S. annually. Improving design is therefore the single most powerful change that can be made in construction: less time, less uncertainty, less rework, less waste, higher efficiency, and sustainability. Given construction's substantial impact on humanity and its relatively undeveloped state, I saw a tremendous opportunity for modernization through new technologies aimed at drastically improving the design process.

Augmenta’s Founding team: Raffaele Cigni, Aaron Szymanski, Max Moruzzi, Francesco Iorio, and Davide Panelli.

Eclipse: Can you tell us more about the team that you've assembled and why you think Augmenta is uniquely positioned to one day transform physical industries that are responsible for 75% of GDP?

Frio: My strategy for building effective teams to tackle complex challenges focuses on excellence and high-agency. I bring together individuals from mixed backgrounds, including experts in engineering, computer science, and design, who share a history of demonstrated excellence and intrinsic motivation. Our computer science team covers machine learning, applied mathematics, computational geometry, high-performance computing, and numerical analysis.  We hire top performers — they’re all 'doers' and first principle thinkers.

Eclipse: What has been your biggest challenge in terms of executing on your mission?

Frio: One of the biggest open technical challenges is solving complex, NP-hard combinatorial problems to generate multiple feasible and optimized designs quickly. Generating these designs involves placing and routing parts inside a CAD model in a 3D design environment, adhering to rules and regulations, part constraints, constructibility requirements, and tribal knowledge. Put another way: it’s like hand-painting a travel route in Google Maps, except it’s now in an 8-dimensional space with rigid, restrictive traffic rules to follow, like “only red trucks can turn left at intersections where there are 3 lanes.”

Augmenta uses a blend of classical AI and generative ML techniques to address these challenges. Our software, Augmenta Construction Platform (ACP), integrates 3D site data, building code-driven rules, and advanced algorithms to generate detailed, code-compliant designs efficiently. They employ ML to preprocess and reduce the design space, enabling parallel computation and ensuring constructibility in high-density scenarios. This hybrid approach allows for the creation of actionable AI systems capable of autonomously generating practical solutions for complex engineering problems.

Eclipse: What excites you the most about Augmenta's potential?

Frio: Augmenta has the potential to democratize building engineering. If successful, Augmenta will allow stakeholders to describe their vision for a building in the form that is most appropriate to them, including natural language, and the computer will produce a suite of feasible solutions to choose from, all guaranteed to work — much like selecting flight options on Expedia. In the future, it will be considered irresponsible to develop a building outside of Augmenta’s platform.

Eclipse: Where do you see Augmenta in 5-10 years?

In five years, I believe Augmenta will be seen as a top AI company for automated design and will be the de facto standard in the construction industry for building construction and engineering. It will be the primary platform connecting the intentions of builders to the physical spaces they are shaping.

Looking ahead to ten years, I expect Augmenta’s reach and momentum to expand beyond construction to other physical industries, such as manufacturing, which represents a significant portion of the global GDP. By then, Augmenta is likely to be recognized as a leader in adopting and refining this new methodology — a new paradigm for problem-solving and design. 

Design automation, together with flexible manufacturing automation, are the keys to unlocking a future of scalability and mass customization. This is where designing mass-market items like a phone or a car, and one-off “snowflakes” like a building, a personalized medicinal compound, or a bespoke functional microorganism will be approached in a fundamentally similar manner. 

I founded Augmenta to spearhead this critical transformation.

Learn more about Augmenta's vision to drive efficiency and sustainability in physical industries through automation.

Follow Eclipse Ventures on LinkedIn or sign up for Eclipse’s Newsletter for the latest on the Industrial Evolution.

Tags

  • Ai
  • Construction

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