Diald AI has raised $3.75 million in early-stage funding to accelerate the expansion of its AI-driven real estate due diligence and underwriting platform. The round included participation from institutional backers such as Feedback Ventures of Singapore, alongside strategic angels and sector-focused funds.
The new funding comes as demand continues to rise among commercial real estate investors seeking more structured and efficient approaches to evaluating properties and investment opportunities.
Founded to streamline and standardize early-stage real estate analysis, Diald AI has continued to enhance its platform since launching earlier this year. In May, the company released Diald Memo v3.2, a tool that generates investor-ready analyses by synthesizing data from more than 1.7 million sources. The system evaluates factors ranging from zoning to demographic trends to neighborhood dynamics, producing a consolidated “Diald Score” intended to offer a clear view of a property’s viability.
Diald has also formed a commercial partnership with Moody’s, integrating one of the most widely referenced quantitative commercial real estate datasets into its analysis engine. The collaboration expands the platform’s ability to deliver both qualitative and quantitative insights that support institutional-grade decision-making.
More recently, Diald introduced Diald v5.0, its first pay-as-you-go model, which opens access to a broader market beyond enterprise customers. The company said the move addresses the needs of real estate professionals who prefer deal-specific access rather than long-term platform commitments.
The funding will also support Diald’s international reach. The company is working with The Invention LAB, a South Korean venture capital firm that also participated in the round and has nominated Diald for the country’s TIPS government grant program, a competitive initiative focused on advancing AI innovation.
Diald AI said the new investment will help meet strong demand for faster, more transparent, and more reliable early-stage real estate analysis, positioning the company for continued product growth, market expansion, and deeper engagement with institutional users.
KEY QUOTES
“Early-stage analysis has always been one of the least standardized parts of real estate investing. Every team has its own process, its own sources, and its own way of interpreting the story behind a property. With Diald, we’re creating a shared foundation that brings more speed, transparency, and reliability to how teams assess opportunities. This next chapter of the platform was highly anticipated by many of the most active players in commercial real estate, and the overwhelming demand we received leading up to the launch makes it clear how needed it was. This funding allows us to meet that demand while making Diald accessible to more people across the industry.”
Steven Song, Founder And CEO Of Diald AI
“Diald AI is solving a problem that every real estate team feels but few have been able to address at scale, because there has never been a clear framework for gathering and organizing the information that ultimately drives an investment decision. Their approach brings structure to data that is typically scattered, giving professionals a clearer basis for comparing opportunities. We see Diald becoming a foundational part of how site selection and underwriting are done in the years ahead, and we’re proud to support their growth.”
Ethan Cheng, Feedback Ventures
