London-based Built AI, a pioneering platform using artificial intelligence to streamline real estate investment analysis, has successfully closed a $6 million seed funding round. The investment was led by Work-Bench, with significant participation from Lerer Hippeau, Timber Grove Ventures, and other industry leaders. This new capital will fuel the company's expansion into the United States and the United Kingdom while enhancing its AI-powered financial modeling capabilities for the property sector.
Modernizing Real Estate Investment
The commercial real estate industry has long been hampered by outdated and manual processes, with an estimated $26 billion spent annually on software that fails to fully automate key tasks. Financial modeling and opportunity screening are often conducted in spreadsheets, which are prone to significant errors. This reliance on manual data entry means it can take weeks to analyze a single deal, causing firms to miss other valuable investment opportunities.
An AI-Driven Approach to Underwriting
Built AI directly confronts these challenges with its advanced AI-powered platform, which transforms the underwriting process from weeks into mere minutes. Leveraging generative AI, the system rapidly extracts and analyzes critical data from documents like rent rolls, offering memorandums, and Argus files. This automation enables the creation of instant, auditable financial models, a significant workflow improvement the industry has long awaited.
The platform generates comprehensive cash-flow models that incorporate real estate fundamentals, tenant profiles, lease terms, and local market data. This allows for a tenfold improvement on current processes, supporting full business plans and scenario analysis for any asset. Investors can analyze single properties or entire portfolios, enabling them to identify optimal asset management strategies and make faster, more informed decisions.
Fueling Growth and US Expansion
The $6 million seed funding round, spearheaded by Work-Bench, provides the necessary capital to scale Built AI's innovative solution. The platform has already demonstrated significant traction, having been used to analyze over $70 billion worth of opportunities across the UK and Europe. This investment validates the company's approach and signals strong market confidence in its technology and vision for the future.
With this new capital, Built AI is set to accelerate its expansion into the lucrative United States market while solidifying its presence in the UK. The funds will be primarily allocated to enhancing platform features and growing its operational teams in these key regions. This strategic move aims to modernize how the world's largest asset class is analyzed, managed, and ultimately optimized for performance.
Leadership and Vision
At the helm of BuiltAI are co-founders Natan Lempert, CEO, and Firoz Noordeen, COO, who bring a powerful combination of deep real estate expertise and AI/ML horsepower. Lempert notes that despite real estate's scale, its evaluation tools have remained stagnant for decades. He emphasizes that generative AI is becoming transformative for financial decision-making by automating underwriting and enabling large-scale data translation.
The company is already trusted by industry giants such as Howard Hughes, CBRE, LondonMetric, and Knight Frank IM, showcasing its immediate impact. Following the funding, Built AI introduced a new asset management tool offering full lifecycle modeling and real-time portfolio analysis. This feature empowers real estate owners with proactive management capabilities and instant insights to support faster, more strategic decisions.
Built AI's successful funding round marks a pivotal moment for the real estate technology sector, promising to replace error-prone spreadsheets with intelligent, automated analysis. By drastically reducing underwriting time and enhancing decision-making, the platform is poised to become an indispensable tool for investors, brokers, and lenders. As the company expands its global footprint, its technology will be transformative for every stage of the property asset lifecycle.

