Davis

Every real estate development project begins with months of high-risk preliminary work: feasibility studies, initial drawings, regulatory and zoning constraint checks, preliminary cost estimates. It is an expensive, slow, and labor-intensive phase in which most of the work is redone multiple times before a final decision is reached. Davis, a Paris-based startup founded with the backing of Heartcore Capital and Balderton Capital, developed an AI platform to compress and automate exactly these early stages of real estate development. At the core of the offering is Gaudi-1, a proprietary model for automated architectural design. Unlike generic generative AI tools applied to architecture, Gaudi-1 is specifically designed to operate under regulatory constraints: it knows how to read the zoning parameters of a given area, how to interpret height and density regulations, how to optimize layouts and floor plans while respecting the limits imposed by local planning rules. It is a technical detail that makes an enormous practical difference — a design generated without adhering to regulatory constraints is useless in a real workflow. The business model is SaaS: subscription access for real estate developers and architecture firms to the platform and the Gaudi-1 model, enabling them to accelerate feasibility and preliminary design phases. The target clients are developers, promoters, and architectural professionals who need to evaluate many opportunities in parallel and for whom reducing the time of initial assessment is a direct competitive advantage. The $5.5M pre-seed round, led by Heartcore Capital and Balderton Capital, positions Davis as one of the most promising European players in the vertical AI proptech segment. The choice to focus on early development phases — where risk is highest and decisions carry the greatest impact — is a deliberate bet on the part of the workflow where AI can generate the most added value. The real estate development market is global, fragmented, and still largely analog in its preliminary phases. Davis represents the thesis that even traditional, highly regulated industries can be transformed by vertical AI models, provided those models are built with a deep understanding of the sector's specific constraints.