Project NexusRE adds governance layer for MLS data and AI use

NorthstarMLS and REcore Solutions, along with the WAV Group’s Fluente AI team have unveiled Project NexusRE, a patent-pending infrastructure layer intended to give multiple listing services (MLS) and brokers more visibility and control over how listing data is accessed, used and monetized by artificial intelligence systems, according to an announcement on Friday. 

Project NexusRE is positioned as a governance foundation that sits between MLS databases and the growing number of websites, applications and AI systems consuming listing data. Rather than replacing local MLSs, the companies said the platform is designed to apply permissions, policies and compliance rules consistently across channels and interfaces.

System will be owned and governed by the industry

In the announcement, the firms said Project NexusRE is structured to be owned and governed by the industry. NorthstarMLS, which serves as patent assignee, originated the concept. The application is being built with WAV Group’s Fluente AI team, led by technologist David Gumpper, with additional support from WAV Group executives Jennie MacIntosh and Victor Lund. REcore,the industry-owned services organization that only accepts investment from brokerages and MLSs and whose largest partner is California Regional MLS (CRMLS), is commercializing the platform and will operate it as an industry-facing service.

“We started this about a year and a half ago and it began with conversations about strategic objectives and where the industry was headed, which surfaced a lot of the things everyone is talking about now like control of listings, marketing and the need to redefine things like MLS participant and subscriber,” Tim Dain, the president and CEO of NorthstarMLS, said. “We realized that all of these arguments were a symptom of a larger disease, which is that the MLS infrastructure was built years ago and not during the era of AI. So, we realized we needed to reposition the infrastructure to give us some answers as to how we move forward in this new era.”

Both Dain and Art Carter, the CEO of CRMLS will be speaking at HousingWire’s AI Summit in Dallas this August. 

As AI tools increasingly process MLS data across the web, brokers often lack clear insight into where their listings are used, which systems are accessing them and under what terms. According to the announcement, Project NexusRE is intended to address that gap by providing a common framework for managing permission, monitoring usage and maintaining accountability as data flows to large language models and other AI tools.

The initiative is a response to growing concern that general-purpose AI platforms could capture the “intelligence layer” of real estate — how data is interpreted, summarized and used — even though brokers and MLSs spent decades building and curating the underlying listing data. By keeping the governance and learning layer under broker and MLS control, Project NexusRE aims to preserve data sovereignty and prevent AI value from migrating entirely to outside platforms.

“The platform addresses that argument that brokers and MLSs should have a say in what entitlements different vendors or tools have with the data,” Dain said. “It gives control over to the people that own the data and not sure who gets the data, but under what terms they can have it and use it.”

When brokers login to the platform, Dain said they can see where an MLS authorized their listing data to go and under what terms, enabling them to have an open dialogue with their MLS about how their data is being used and by whom. 

Governance for AI-era listing data

The announcement notes that much of today’s MLS data infrastructure was built before AI-driven systems were common in real estate. Listing rules are often spread across participant agreements, vendor contracts, APIs and policy documents, making consistent enforcement difficult when data is ingested by AI systems at scale, as it now is. 

“There is a hierarchy of policy that exists from federal fair housing laws, to state statutes, MLS rules and even broker rules, so as vendors or even agents begin doing more and more with AI, brokers can put in rules that their branding can only be used in certain ways and the platform ensures that the policies are applied everytime at both the data in and data out levels,” Dain said.

Economic alignment and broker visibility

The companies said the initiative is expected to support contribution-based credits for brokers who supply listing data into the system. As AI systems extract and use data, usage metering could inform how credits are earned and how value flows between contributors and consumers. Consumers of the data — including AI workflows and proptech applications — would participate based on usage.

“Anybody that contributes value should be rewarded for that, while anyone that extracts value should be charged for that,” Dain said. “Currently a brokerage with one agent that belongs to an MLS and gets a data feed pays the same per-agent fee as a brokerage with 2,000 agents. But the one with one agent is usually the one that is hitting the data at scale by putting AI and other tools against it — they are a high demand customer in terms of data. But the brokerage with a lot of agents is usually a high supply customer, so you have two different relationships with the data and one cost structure.” 

In its report, WAV Group stresses this is not about “selling listings,” but about recognizing that AI reshapes where value is created. Instead of a simple yes/no access model, MLSs may need usage reporting, accountability and economic structures that track how machine-scale consumption evolves over time.

Deployment timeline and participation

Project NexusRE is currently in active development, with initial testing expected to begin in summer 2026, according to the release. NorthstarMLS and REcore are inviting MLSs, associations and industry partners to engage early to evaluate use cases, governance models and deployment options.

The companies emphasize that Project NexusRE is designed to strengthen, not centralize, the existing cooperative MLS structure. The platform is intended to be open to MLSs and brokers of any size and to apply “updatable” permissions and policies regardless of how listing data is accessed.

“There are a lot of companies that could have built something like this, but the industry shouldn’t want them to because their motive is different and the brokers and MLSs are really the only ones that should have a say in this because it is their data,” Dain said.