A new wave of AI startups is targeting one of the world’s oldest and slowest-moving industries: real estate. Paris-based startup Davis is the latest to step into the space, announcing a $5.5 million pre-seed round aimed at compressing early-stage development timelines from months to days.
The round was led by Heartcore Capital and Balderton Capital, with participation from Evantic, Yellow VC and Entrepreneurs First, alongside a group of angel investors that includes members of the SpaceMaker founding team and operators from companies such as Meta, Hugging Face and Supabase.
Rethinking a Slow-Moving Industry
Despite being one of the largest global asset classes, real estate development has remained relatively untouched by modern software innovation. Early-stage processes such as feasibility studies, site analysis and architectural design are still heavily manual, fragmented and time-intensive.
Davis is positioning itself as part of a broader shift away from traditional SaaS tools towards AI-native services that deliver outcomes directly. Rather than offering software to assist architects and developers, the company generates feasibility studies and architectural designs itself, and then validates them with human experts before delivery.
The goal is simple: reduce the time it takes to move from site analysis to a workable concept from months to just a few days.
From Tools to Outcomes
Founded by Mehdi Rais and Amine Chraibi, Davis combines generative AI with architectural expertise to streamline early-stage development. The platform ingests regulatory, technical and market data, turning these inputs into constraints that guide design generation.
Outputs include feasibility studies, volumetric models, floor plans and space planning – all reviewed by human architects before being handed off to developers and investors.
This hybrid model reflects a growing trend across enterprise AI, where companies are moving beyond productivity tools and towards fully integrated, outcome-driven services.
Davis Introduces Gaudi-1
Alongside the funding, Davis has also launched Gaudi-1, its first proprietary model designed specifically for architectural generation under real-world constraints.
Unlike traditional generative models that operate in pixel-based environments, Gaudi-1 works in a structured, discrete space. It generates buildings as compositions of architectural elements such as rooms, walls and layouts, allowing for greater control and more reliable outputs.
This approach is designed to better reflect the realities of construction, where regulatory requirements, financial viability and spatial constraints all play a role in shaping design decisions.
A Growing AI Category
Davis is part of a broader movement applying AI to physical-world industries, often referred to as “Physical AI.” Similar to how AI is reshaping software development and customer service, startups are now targeting sectors like construction, manufacturing and logistics.
What makes real estate particularly attractive is the combination of high-value decisions and slow-moving processes. Even small efficiency gains can have significant financial impact, especially in early-stage development where time directly affects returns.
Investors are taking notice. According to Heartcore Capital partner Max Niederhofer, Davis stands out for combining three key elements: a proprietary generative model, human validation and a clear impact on timelines in a time-sensitive industry.
Early Traction and Expansion Plans
The company is already working with developers across multiple geographies and asset classes, with plans to support hundreds of projects over the next year.
Its technology is designed to adapt to local regulations, allowing it to scale across different markets without requiring entirely new systems for each region.
This flexibility could prove critical as AI adoption in real estate accelerates globally, particularly in markets facing housing shortages or increased development pressure.
The Bigger Shift in PropTech
Davis’ approach also signals a broader shift in proptech. For years, innovation in the sector has focused on digitisation – moving processes online or improving collaboration tools. Now, the focus is shifting towards automation and intelligence.
By delivering completed outputs rather than tools, companies like Davis are effectively repositioning themselves within the value chain, sitting closer to decision-making rather than just enabling it.
This raises interesting questions about the future role of architects, planners and developers. While human expertise remains central (particularly in validation and oversight) the balance between manual work and automated generation is clearly evolving.
The Future for Davis and Gaudi-1
With fresh funding in place, Davis plans to expand its research capabilities, grow its team and continue developing its AI models.
For co-founder and CEO Mehdi Rais, the ambition goes beyond speeding up workflows. “Real estate is one of the world’s largest asset classes, yet some of its most important workflows still move at a pace that no longer makes sense,” he said. “We started Davis to set a new time standard for real estate development.”
If the company succeeds, it won’t just make development faster – it could fundamentally change how cities are designed and built.
