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2024 Grants Challenge

Autonomous construction software for repeatable low income housing

Idea by Surfaice.pro

Surfaice.pro is autonomous construction software designed for repeatable low-income housing projects. While traditionally scaling such projects demands substantial resources and an army of project managers, we achieve scalability through vertically integrated custom GPT models. We are prepared to offer our software to qualified builders and developers of low-income housing, automating site development and construction processes. This reduces operating costs, enhances scheduling efficiency, and ultimately lowers housing development expenses.

What is the primary issue area that your application will impact?

Affordable housing and homelessness

In what stage of innovation is this project, program, or initiative?

Expand existing project, program, or initiative (expanding and continuing ongoing, successful work)

What is your understanding of the issue that you are seeking to address?

The challenge we aim to tackle is the efficient scaling of repeatable low-income housing projects. Traditionally, these projects are resource-intensive, requiring significant manpower and meticulous project management. Surfaice.pro addresses this challenge with autonomous construction software tailored for such projects. By leveraging vertically integrated custom AI models, our software streamlines site development and construction processes. This automation not only reduces operational costs but also enhances scheduling precision, crucial for meeting project timelines and budgetary constraints in low-income housing developments. By implementing Surfaice.pro, builders and developers can achieve greater efficiency and cost-effectiveness throughout the housing development lifecycle.

Describe the project, program, or initiative this grant will support to address the issue.

The grant will support the implementation of Surfaice.pro, our autonomous construction software tailored for scaling a significant low-income housing development project in the San Fernando Valley. Partnering with a dedicated development company with several years of focus in this area, our program aims to streamline and automate site development and construction processes. This initiative will facilitate the construction of a large-scale housing development, estimated at approximately $1 million per house on average.
Through the integration of vertically integrated custom GPT models, Surfaice.pro is expected to enhance operational efficiency and reduce costs. We anticipate achieving savings of 5 to 7% per project, which is significant given the potential scale of approximately 20 housing projects per development. These efficiencies translate to substantial cost reductions across the entire housing development, making homes more affordable and sustainable in the San Fernando Valley.

Describe how Los Angeles County will be different if your work is successful.

By implementing Surfaice.pro in low-income housing developments, we anticipate several transformative outcomes. Firstly, residents will benefit from more affordable housing due to cost savings achieved through our software's efficient construction management. This reduction is crucial for expanding access to quality housing in the region.
Furthermore, our success in the San Fernando Valley could pave the way for broader adoption across Los Angeles County. We envision partnering with cities and the state to scale this initiative, collaborating to streamline and accelerate housing development processes across various municipalities. Additionally, by engaging pro-bono investment organizations, we aim to integrate into more projects, enhancing operational efficiencies and optimizing outcomes for both developers and residents.
Ultimately, the successful implementation has the potential to revolutionize how low-income housing is developed and managed throughout Los Angeles County.

What evidence do you have that this project, program, or initiative is or will be successful, and how will you define and measure success?

Building on our experience in driving efficiencies in commercial real estate and quick-service restaurants, we focus on specific metrics to measure our impact.
Key metrics include achieving a 5 to 7% reduction in development costs per project through streamlined construction processes and reduced operational expenses. We also track improvements in time efficiency, accelerating project timelines by 20% compared to traditional project schedule. This not only speeds up housing availability but also enhances cost-effectiveness, crucial for meeting the urgent demand for affordable housing in Los Angeles.
Additionally, our approach emphasizes standardized construction management practices to enhance housing quality, supported by feedback highlighting improved living conditions and community satisfaction. Scalability and replicability are core to our strategy, demonstrated through partnerships with cities and state agencies to expand our model across neighborhoods.

Approximately how many people will be impacted by this project, program, or initiative?

Direct Impact: 350.0

Indirect Impact: 150.0