- DealGround has launched major platform enhancements, including automated ownership research, expanded data coverage, and entry into the industrial sector.
- Brokerage teams report saving up to 20 hours per week and achieving returns of 50x or more after sourcing a single deal.
- As AI adoption accelerates across CRE, DealGround is positioning itself as a centralized prospecting and deal-sourcing engine.
DealGround is doubling down on AI-driven brokerage tools with a new round of platform upgrades aimed at helping commercial real estate brokers move from research to outreach in minutes instead of weeks.
The San Francisco-based company announced enhancements that include automated ownership research, a redesigned user experience, broader data coverage, and expansion into the industrial real estate market. The updates come as technology investment across CRE accelerates. According to JLL’s 2025 Global Real Estate Technology Survey, 92% of CRE firms are now testing AI, up from just 5% three years ago, and 85% plan to increase tech spending.
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From Prospecting to Pipeline
DealGround positions itself as an “AI-native intelligence command center” that consolidates fragmented property, tenant, ownership, and offering memorandum data into a single workflow. The goal: eliminate the manual research that often slows prospecting efforts.
“Even as AI adoption accelerates across CRE, many brokers are still stuck working with disconnected PDFs, spreadsheets, and other data sources that cause them to miss opportunities,” said Dan Mosher, CEO & Co-Founder of DealGround. “They want to find opportunities and start conversations with owners that lead to new deals – that’s what we built DealGround to do. Today, teams across each of the top 15 CRE firms are using the platform to move from research to outreach in minutes instead of weeks and uncover new opportunities.”
According to the company, brokerage teams using the platform report saving roughly 20 hours per week through automated ownership research, increasing commissions by up to 50% through direct deal sourcing, and achieving returns of 50x or more after closing a single deal sourced through the system.
Tim Westfall, Partner at Echo West, said the automation has significantly compressed research timelines, turning what once took days or weeks into a matter of minutes and creating a more consistent lead-generation engine.
Automated Ownership Research at the Core
At the center of the update is DealGround’s automated ownership research engine. Using AI, the platform analyzes complex ownership structures and converts them into verified owner contact information. It also provides transparent sourcing trails, or “breadcrumbs,” showing how records were obtained, giving brokers added confidence in the data.
The redesigned interface supports the full prospecting workflow across desktop and mobile. Enhancements include streamlined navigation, more robust filtering and alerts, mobile-friendly access for site visits, spreadsheet attachments to property records, and faster access to ownership, tenant, and property data.
By integrating research and outreach preparation into a single environment, the platform aims to reduce reliance on disconnected tools.
Expanding Into Industrial
In addition to strengthening its retail footprint, DealGround is expanding into the industrial sector, citing increased demand from brokers facing similar ownership and data fragmentation challenges.
The company now maintains more than 160 million title records and 7 million tenant records, along with national coverage of offering memoranda and parcel data across commercial and residential properties. Automated alerts and real-time updates are designed to surface new opportunities as market conditions evolve.
Beyond Efficiency: AI’s Broader Impact
Mosher said AI’s role in brokerage extends well beyond simple time savings.
“Improved efficiency just scratches the surface and misses the bigger picture,” said Mosher. “CRE has traditionally been done person to person with compartmentalized information. AI is changing how brokers work and use data to deliver better outcomes for their clients. AI is able to help brokers synthesize information from multiple sources in real time and help them with valuing properties better. AI allows the broker more time to think creatively and develop relationships with their client. Ironically, AI is changing broker workflows to allow them more human interaction.”
Looking ahead, Mosher sees AI-driven deal sourcing becoming even more predictive and personalized.
“Right now, AI is helping brokers do research that used to take days in a matter of minutes, and that alone is driving real impact,” he said. “But the bigger change is coming later this year. DealGround is helping brokers build an incredible private dataset and then will stitch a proprietary reasoning model on top. Imagine asking your DealGround instance which owners in a specific cohort are most likely to sell, which tenants are likely to move, and which opportunities match your specific expertise and pipeline. Brokers could ask it all sorts of complicated questions that fit within their client’s buy box. This is what we’re building toward at DealGround.”
Why It Matters
As AI adoption becomes nearly universal across CRE firms, platforms that can turn raw data into actionable intelligence may become a key competitive differentiator. By combining ownership research, prospecting tools, and expanding data coverage, DealGround is betting that brokers who can move faster from insight to outreach will win more business.
With industrial market expansion underway and a proprietary reasoning model in development, the company is positioning itself not just as a research tool—but as a deal-generation engine for modern brokerage teams.
