BuiltAI lands $6M to expand platform for global real estate investors

London-based BuiltAI, a financial modeling platform for commercial real estate investment, has secured $6 million in seed funding, signaling growing interest in AI-driven solutions within the real estate sector. The platform leverages machine learning to streamline traditionally manual processes, promising to transform how investors analyze and manage property assets, ultimately boosting efficiency and accuracy in a sector ripe for digital disruption. The funding round was led by New York-based VC firm Work-Bench. BuiltAI's platform uses machine learning to quickly extract and analyze building data, replacing outdated, time-consuming manual processes like data entry and financial modeling. The technology provides detailed financial models in minutes, a significant improvement over the current two-week average for deal analysis, which often relies on error-prone spreadsheets. BuiltAI's system integrates real estate fundamentals, lease terms, and local market data, supporting both individual asset analysis and portfolio management. This advancement directly impacts real estate brokers, investors, lenders, and valuers by automating underwriting processes and facilitating faster decision-making. The platform aims to modernize the property asset lifecycle, from sourcing to disposal, addressing the inefficiencies that have persisted in the real estate industry for decades. The company plans to use the new funding to expand its operations in the US and UK while further enhancing its platform. BuiltAI's recent asset management tool offers full lifecycle modeling, instant portfolio roll-up, and real-time scenario analysis. The platform's focus on generative AI's role in financial decision-making, enabling large-scale data translation and process automation, hints at future advancements and the potential for greater efficiency gains. The company was co-founded in 2020 by Natan Lempert and Firoz Noordeen.