Cadastral Secures $9.5 Million in Funding to Revolutionize Commercial Real Estate with AI
On February 5, 2026, Cadastral, Inc., an innovative software company focused on artificial intelligence tailored for the commercial real estate (CRE) sector, announced a substantial funding round of $9.5 million. This investment was led by notable firms including Navitas, JLL Spark Global Ventures, AvalonBay, Equity Residential, and 1Sharpe. The newly acquired funds will accelerate the development of Cadastral’s groundbreaking product, which aims to be the leading AI analyst in a box tailored for real estate, private equity, and private credit.
Cadastral's mission is to simplify complex workflows in the CRE industry by providing intuitive AI tools that cater specifically to the sector's challenges. Since releasing its flagship product late last year, the startup has seen rapid growth, amassing over 40 clients from various segments within commercial real estate. Company CEO and co-founder, Abhinav "Abe" Somani, emphasizes that the integration of AI into real estate is overdue, drawing parallels with transformative platforms in other industries like Harvey and Hebbia.
Cadastral’s platform offers comprehensive features that span the entire different aspects of real estate including acquisitions, asset management, lease administration, and more. With an advanced focus on creating domain-specific AI tools, Cadastral has developed applications for critical tasks such as T-12 analysis, lease abstraction, loan compliance, acquisitions due diligence, and underwriting. The uniqueness of their approach lies in the tailored nature of their AI solutions, designed specifically for the intricate needs of the CRE industry rather than generic AI platforms.
Jenny Song, a partner at Navitas Capital, reinforced the urgent need for vertical AI solutions that understand the intricacies of specific sectors, stating that this investment reflects a strong belief in Cadastral's potential to capture significant market value. The backing from prominent investors highlights the accelerating pace of adaptation across the traditionally slow-moving industry. Raj Singh, managing partner at JLL Spark Global Ventures, expressed excitement about how rapidly teams can derive value from Cadastral's offerings, which require no customer-specific training to get started.
CTO and co-founder Aman Dhesi, who has a background in developing large-scale AI systems at major tech organizations, echoed the mission of democratizing AI capabilities for players across the industry. He stated that Cadastral provides real value quickly, allowing everyone from small owner-operators to large publicly traded REITs to benefit from the technology. The firm operates from its headquarters in New York City and integrates seamlessly with major document management systems such as SharePoint and Dropbox, in addition to core real estate platforms like Yardi.
As Cadastral continues to grow, the aim is clear: to empower real estate professionals with advanced AI agents and tools that can streamline their operations, enhance decision-making, and ultimately transform the way commercial real estate is managed. The firm is already recognized as a trusted partner by over 40 global organizations, indicating a strong foundation for future expansion and innovation in AI-driven real estate solutions.
Cadastral's mission is to simplify complex workflows in the CRE industry by providing intuitive AI tools that cater specifically to the sector's challenges. Since releasing its flagship product late last year, the startup has seen rapid growth, amassing over 40 clients from various segments within commercial real estate. Company CEO and co-founder, Abhinav "Abe" Somani, emphasizes that the integration of AI into real estate is overdue, drawing parallels with transformative platforms in other industries like Harvey and Hebbia.
Cadastral’s platform offers comprehensive features that span the entire different aspects of real estate including acquisitions, asset management, lease administration, and more. With an advanced focus on creating domain-specific AI tools, Cadastral has developed applications for critical tasks such as T-12 analysis, lease abstraction, loan compliance, acquisitions due diligence, and underwriting. The uniqueness of their approach lies in the tailored nature of their AI solutions, designed specifically for the intricate needs of the CRE industry rather than generic AI platforms.
Jenny Song, a partner at Navitas Capital, reinforced the urgent need for vertical AI solutions that understand the intricacies of specific sectors, stating that this investment reflects a strong belief in Cadastral's potential to capture significant market value. The backing from prominent investors highlights the accelerating pace of adaptation across the traditionally slow-moving industry. Raj Singh, managing partner at JLL Spark Global Ventures, expressed excitement about how rapidly teams can derive value from Cadastral's offerings, which require no customer-specific training to get started.
CTO and co-founder Aman Dhesi, who has a background in developing large-scale AI systems at major tech organizations, echoed the mission of democratizing AI capabilities for players across the industry. He stated that Cadastral provides real value quickly, allowing everyone from small owner-operators to large publicly traded REITs to benefit from the technology. The firm operates from its headquarters in New York City and integrates seamlessly with major document management systems such as SharePoint and Dropbox, in addition to core real estate platforms like Yardi.
As Cadastral continues to grow, the aim is clear: to empower real estate professionals with advanced AI agents and tools that can streamline their operations, enhance decision-making, and ultimately transform the way commercial real estate is managed. The firm is already recognized as a trusted partner by over 40 global organizations, indicating a strong foundation for future expansion and innovation in AI-driven real estate solutions.
Topics Consumer Technology）
【About Using Articles】
You can freely use the title and article content by linking to the page where the article is posted.
※ Images cannot be used.
【About Links】
Links are free to use.