Davis, an AI-native real estate company focused on accelerating early-stage development and architectural design, has raised €4.6 million ($5.5 million) in a pre-seed funding round. Heartcore Capital and Balderton Capital led the round, while Yellow, Evantic, and Entrepreneurs First also participated. In addition, angels from the founding teams of SpaceMaker, Black Forest Labs, Hugging Face, Supabase, Cleo, and Spore.bio joined the round.
Alongside the funding, Davis has introduced Gaudi-1, its first proprietary model designed to generate architectural designs under real-world constraints. This launch highlights the company’s push into AI-driven architecture, proptech innovation, and generative design technology.
Mehdi Rais, co-founder and CEO of Davis, said, “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. We started Davis to set a new time standard for real estate development and ultimately to reshape how cities are designed and built.”
Founded in 2025 by Mehdi Rais and Amine Chraibi, the company combines proprietary AI with human expertise to deliver architect-grade outputs within hours or days instead of weeks or months. Consequently, Davis aims to compress early-stage development timelines significantly while keeping human experts actively involved in the process.
Moreover, the platform transforms regulatory, technical, and market data into structured constraints for feasibility studies. These include site limitations, return on investment (ROI), volumetrics, floor plans, and space planning. Subsequently, human experts review each output before delivery, ensuring accuracy and compliance with real-world requirements.
Currently, the company addresses a fragmented process in which multiple stakeholders manage site analysis and architectural concept development separately. However, Davis integrates these workflows into a unified system, thereby streamlining the entire real estate development lifecycle.
“At the core of Davis’ technology is a new approach to generative modelling for the built environment. Unlike traditional diffusion models that operate in continuous pixel space, Davis’ systems operate in a discrete space, generating buildings as structured compositions of architectural elements such as rooms, walls, and layouts,” the company explained in the press release.
As a result, this approach enables greater control, faster iteration, and outputs that consistently meet regulatory, financial, and design requirements. This advancement positions Davis at the forefront of AI in construction, smart city design, and digital real estate solutions.
Additionally, Davis has introduced Gaudi-1 as its first proprietary model for automated architectural generation under regulatory constraints. The company stated that it has achieved “state-of-the-art” results on established floor-plan generation benchmarks, including RPLAN and MSD, across IoU, FID, and KID metrics.
In terms of its business model, Davis operates through a service-based approach rather than selling standalone software. It uses its technology to deliver completed outputs directly to developers and investors. Furthermore, the platform works across multiple asset classes and geographies, adapting to local regulations through input data, thereby enhancing its scalability in the global proptech market.
Max Niederhofer said, “What’s distinctive about Davis is how three elements reinforce each other: a generative model operating in a discrete architectural space under regulatory constraints, an architect-in-the-loop validation layer, and the resulting compression from months to days in an industry where time drives returns. We’re excited to back Mehdi and Amine as they reshape how the built world is designed and developed.”
Looking ahead, Davis is actively collaborating with developers and expects to support hundreds of projects over the coming year. At the same time, the company plans to expand its research capabilities, accelerate hiring, and further verticalise the real estate development process.
Davis’ latest funding round and the launch of Gaudi-1 underscore the growing role of artificial intelligence in real estate, particularly in improving efficiency, reducing timelines, and enhancing design accuracy.
