Diald, the AI-powered real estate due diligence and underwriting platform has launched a rebuilt interface that surfaces the insights hidden in qualitative data. It will zone changes, permit activity and neighbourhood sentiment, providing investors crucial information previously invisible to their financial models.
The release introduces Diald’s proprietary Neighbourhood Investment Rating, which tests whether the optimism or pessimism surrounding an area is borne out by the underlying data, helping investors spot opportunities. The company also confirmed $1m in follow-on funding led by Feedback Ventures, which also led Diald’s $3.75m seed round, bringing total funding to $4.75m.
The redesign closes a critical gap in real estate technology, the investors holding the majority of the market’s assets lack adequate tools to assess their holdings. Family offices, high-net-worth individuals, and independent operators control over half of all commercial real estate value yet still rely on generic tools like Excel. At a minimal cost, packages range from $0 to $200 per month, and Diald is making underwriting analysis more accessible for users.
“For family offices and independent investors, collating the data to evaluate a property feels like finding a needle in a haystack — scattered across zoning records, permit filings, and market data, and out of reach without an institutional research team behind you.
“We designed Diald to do that work automatically, providing professional-grade underwriting through plain-English conversation, no analyst or training required.
“Cursor lets people who never learned to code build real software by describing what they want. Diald does the same for commercial real estate underwriting.”
Steven Song, Founder and CEO, Diald
Highlights of the new platform include neighbourhood investment rating which reveals whether the hype or negative sentiment around an area is borne out by the data, drawing on qualitative factors like safety, infrastructure, regulatory environment, and neighbourhood dynamics – through large-scale media analysis and specialised AI agents.
The rating is asset-specific based on the same neighbourhood, or even the same building, can score well for one use, such as office, and poorly for another, such as multifamily.
The platform has a confidence score whether a deal is being bought, refinanced or eventually sold, the cap rate is the assumption most likely to make or break the numbers. It sets what you pay going in, what you can pull out at a refi, and what the residual is worth if you ever sell.
The confidence score looks at how well-supported that assumption is, pairing Diald’s qualitative neighbourhood signal with asset-specific market evidence – rents and rent growth, sales activity, and comparable transactions – expressing it as a single percentage.
Users can also describe any kind of deal in plain language, from a 40-unit multifamily acquisition to a suburban office reposition and Diald assembles the pro forma, populates assumptions from live market data, and shows its work. Experienced users can move directly into the full underwriting engine and adjust every assumption themselves.
“We believe Diald is revolutionising how real estate investment due diligence is conducted. As a former real estate investment analyst, I know Diald would have saved me thousands of hours a year and given me access to better data for more informed decisions.
“We’re excited to be investors in Diald and believe their work in AI for real estate will be groundbreaking.”
Ethan Cheng, Partner, Feedback Ventures
Diald’s engine continuously scans over 1.7 million data sources and integrates licensed data from institutional sources including Moody’s Analytics, Green Street, and LightBox.
To date, the platform has analysed over $210bn in commercial real estate volume and the company holds nine patent applications across five jurisdictions and received a Commercial Observer Breakthrough Award for Tech Advance of the Year.
