After an extended hiatus, our Tech Trends feature returns with a look at the latest artificial intelligence (AI) developments in real estate technology.
Special Agents: The property data and analytics provider ATTOM has expanded its ATTOM Intelligence platform with an enhanced MCP Server and three specialized AI agents designed to enable interactions property intelligence through natural language.
New to the platform is the Property & Place Insights Agent that allows users to ask natural language questions about individual properties, parcels, neighborhoods, and places, delivering trusted property intelligence in seconds; the Data Analyst Agent that answers aggregated property and housing market questions, enabling users to analyze trends, compare markets, evaluate portfolios, and retrieve research-grade insights through natural language; and the Report Generation Agent, which automatically transforms ATTOM property data into reports that combine property characteristics, valuations, comparable sales, maps, neighborhood insights, and more into a polished deliverable.
“Artificial intelligence is reshaping every industry, and organizations are increasingly looking for new ways to turn data into insights,” said Rob Barber, CEO at ATTOM. “ATTOM Intelligence represents our long-term investment in the future of property data and AI, bringing together AI-ready data, AI-powered analytics, and new AI experiences that help organizations work smarter.”
Two Into One: Brokurz, an AI operating system for real estate brokerages, has acquired MLS Ingest, a real estate technology company that connects, ingests, normalizes, structures, and delivers MLS property data for modern search, software, and AI applications.
The terms of the transaction were not disclosed. According to Brokurz, MLS Ingest’s infrastructure is expected to support its native property search, MLS and IDX experiences, brokerage and agent websites, listing intelligence, CRM enrichment, market insights, analytics, automation, and future AI products.
“Building the operating system for real estate means going deeper than the software people see on the screen,” said Ryan Persad, founder and CEO of Brokurz. “MLS data is one of the foundational layers beneath this industry. Bringing MLS Ingest into Brokurz gives us the ability to connect property data directly with agents, clients, transactions, operations, and AI. We believe that combination can unlock an entirely new generation of real estate technology.”
Upgraded Platform: CommLoan, an operating system for the commercial real estate lending sector, has redesigned its platform to feature upgraded AI-powered lender matching engine, enhanced loan pipeline, and workflow enhancements designed to help brokers identify more viable lender opportunities to move deals forward faster.
The company added that the new platform experience also offers improved navigation, global search, autosave, mobile accessibility, and expanded lender matching across additional specialized property types, with the goal of enabling brokers to work more efficiently from lead intake to lender section through funding.
“Commercial mortgage brokers don’t just need more lender matches—they need the right lender opportunities presented in a way that helps them make confident decisions faster,” said Mitch Ginsberg, founder and executive chairman of CommLoan. “By combining borrower priorities with richer lender intelligence and a redesigned workflow, we’ve built a platform that helps brokers spend less time navigating software and more time moving deals forward.”
Multifamily Tech’s Near-Future: Vendor revenue for proptech and IoT systems in US multifamily housing is projected to grow from $1.5 billion in 2026 to $4 billion by 2031, according to the new forecast “US Multifamily Proptech: Trends, Economics and Market Forecasts 2026-2031,” published by Miami-headquartered Maravedis Research.
An unusual aspect of the report is that it takes a deliberately cautious position on AI. Although this technology is the most requested capability in this market, it is not a separate market category in the forecast and none of the vendors interviewed for the report sells AI. Instead, the vendors in the report sell leasing automation, camera analytics, maintenance triage, natural-language querying of operational data, and energy scheduling, each with an embedded model.
“The useful question is not which vendors have AI,” said Adlane Fellah, chief analyst at Maravedis Research. “It is which applications are actually deployed today, which are credible in the near term, and which are being oversold. The larger risk is sequencing. Owners are funding the data platforms before the network that feeds them, and a model is only ever as good as the telemetry underneath it.”
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