Dealpath, an AI-powered investment management platform for commercial real estate (CRE), has announced the launch of Dealpath AI Studio. This new suite of AI-powered tools is designed to accelerate AI innovation across the real estate investment lifecycle, integrating automation, structured data, and enterprise-grade controls to empower CRE firms.
Dealpath AI Studio aims to reduce friction in the investment lifecycle by accelerating deal flow, streamlining screening and abstraction processes, and delivering actionable intelligence for faster sourcing. With over 300 institutional firms utilizing Dealpath to manage more than $10 trillion in transactions to date, AI Studio represents an evolution in the platform’s capabilities, moving towards embedded AI software in CRE operations.
The launch follows a survey commissioned by Dealpath on AI Readiness in CRE, which indicated that while 96% of firms plan to increase their investment in AI, 93% of institutional CRE firms still encounter significant barriers to adoption, such as fragmented data and compliance concerns.
Mike Sroka, CEO and Co-Founder of Dealpath, stated that AI Studio is a natural extension of the platform, which is built on structured data, automated workflows, and intelligent decision support with enterprise-grade security. He emphasized that the pragmatic applications embedded directly into everyday workflows aim to eliminate friction in the deal lifecycle, automating routine tasks in deal sourcing and screening, and advancing towards AI-assisted workspaces.
Key capabilities included in Dealpath AI Studio are AI Deal Screening, AI Recommended Comps, AI Data Extract, and AI CRM Summary.
AI Deal Screening generates instant market, tenant, and property insights for deals sourced through Dealpath Connect, a network that includes listings from brokers such as CBRE and JLL. This functionality is intended to reduce the screening time per listing from hours to minutes.
AI Recommended Comps assists teams in benchmarking deals and accelerating underwriting by automatically identifying comparables based on criteria like proximity, price, and square footage, enabling analysts to evaluate more deals quickly.
AI Data Extract, initially launched in 2024, automates offering memorandum (OM) and flyer abstraction to expedite deal creation and screening. This feature has reportedly reduced information extraction time to under one minute and increased accuracy to 95% for an initial 90+ listing and property fields. The capability is being expanded to support debt OMs, including requests for financing and funding applicable to major loan types such as acquisition, refinance, construction, and bridge loans.
AI CRM Summary distills recent interactions into clear, actionable insights, helping users quickly access information and ensure critical follow-ups are managed.
Ursula Sage, Vice President of Product & Design, noted that clients prioritize AI solutions that save time and deliver immediate value. She highlighted that the initial features of Dealpath AI Studio, such as data abstraction, sourcing comparables, and deal screening, are workflow enhancements designed for measurable efficiency gains and are being co-developed with enterprise clients to ensure they are practical, scalable, and suitable for institutional investment management realities.
Dealpath is an AI-powered investment management platform for real estate, trusted by over 300 institutional firms including Blackstone, Nuveen, LaSalle, CBRE IM, MetLife, Newmark, Oxford Properties, New York Life, UBS, Manulife, DWS, and Principal. The platform supports over $10 trillion in transactions globally, aiming to enhance investment performance by uniting data, workflows, and AI to enable efficient and precise operations.
