There Are AI Platforms Trying to Replace Your Real Estate Agent Right Now. Let’s Talk About It.
As a Montana Real Estate Broker who also builds AI systems, lets breaks down what Beycome, Homa, and hōmhub are actually doing, and what they are not telling you.
Something Changed After the NAR Settlement
Something shifted after the NAR settlement. Consumers started asking harder questions about commissions, about what agents actually do, and about whether the traditional model still makes sense.
What am I actually paying for? Do I need an agent? Can technology handle this instead?
All very fair questions. Ones the industry should have been answering more honestly for years.
Into that gap, a new generation of AI-powered real estate platforms has emerged. They promise to cut costs, remove friction, and put consumers in control of the biggest financial transaction of their lives. Some of them are doing real things. Others are doing a lot of talking. And most consumers have no way to tell the difference.
That is where this series starts.
Why This Series Exists
Over the next several posts, this series will break down the AI platforms claiming to replace or reinvent the real estate agent. We will look at what they genuinely get right, where they fall short, and what smart agents should actually be doing with AI instead of fearing it.
This is not coming from someone protecting turf. It is coming from someone who builds AI chatbots, maximized with automations, while also holding a broker’s license and working real transactions in a rural Montana market where cookie-cutter solutions break down fast.
The big question driving all of it is simple: how much of a real estate transaction can AI actually handle?
Three platforms stand out right now, and each one represents a different approach to answering that question.
Beycome: The Flat-Fee MLS Listing Model
Beycome is a Miami-based platform that lets sellers list their property on the MLS for a flat fee starting at $99. No percentage-based commission. Their AI, called Artur, walks users through pricing, listing, managing offers, handling paperwork, and coordinating closing. They also offer title services and a buyer rebate program.
The pitch is simple. You already do most of the work when you sell a home. Why pay six percent for it?
Why People Are Paying Attention
The numbers behind Beycome are real enough to take seriously. Nearly 20,000 transactions completed. Over $215 million in fees saved, according to their own reporting. They raised $2.5 million in seed funding at the end of 2025 and are expanding from Florida into Virginia, Texas, and roughly a dozen other states. They have been profitable since 2024, which is rare for a proptech startup.
Where It Works Best
Beycome performs well in markets with high volume, relatively standardized housing stock, and experienced sellers who have been through the process before. Think suburban Florida subdivisions where your 90-year-old grandmother could throw a ball and hit the house next door, comps are plentiful, and the transaction is fairly straightforward.
Where It Struggles
The model gets thin anywhere the deal requires nuance. Complex negotiations, unusual property types, rural land, water rights, anything that requires someone who actually knows the local market and can navigate ambiguity.
Artur can surface data. Artur can NOT adapt well to the extremely custom properties and complexities we encounter in rural Montana properties. I would hate for someone to use this service to purchase, then realize there was an error in updating at the DNRC and their water rights use dates do not allow for year round access. Or perhaps the ai doesn’t realize trout unlimited is actively trying to take the water rights of the property you are purchasing due to its proximity to the Yellowstone.
Homa: Replacing the Buyer’s Agent With AI
Homa takes a different approach. Instead of targeting sellers, it is focused entirely on the buy side. Founded by a former Zillow senior director, Homa launched in Florida in mid-2025 and completed the first fully AI-assisted home purchases in the United States by the end of that year.
The platform provides AI-powered property search, comparable market analysis, automated offer generation, disclosure review, and even climate risk evaluation. The core platform is free. For buyers who want a human transaction broker involved to ensure the buyer’s agent commission gets rebated back to them, Homa charges a flat fee of $1,995 through their Homa Pro service.
The Cost Difference
On a $500,000 home, a traditional 3% buyer’s agent commission would run $15,000. Homa’s model brings that down to under $2,000. The savings are real.
The Important Detail Most People Miss
Even Homa, a company built around the idea that AI can replace the buyer’s agent, still uses human brokers for negotiation. Their own CEO has said publicly that no listing agent wants to negotiate with an AI. That is a significant admission from a company whose entire value proposition is built on removing agents from the equation. It tells you exactly where the technology hits a wall, at least for now.
Where It Works Best
Homa’s model works best for experienced, confident buyers in active metro markets where inventory is plentiful and the stakes on any single transaction are moderate.
hōmhub: The Peer-to-Peer Real Estate Operating System
Then there is hōmhub. This one swings bigger than the other two combined.
Founded by Bobby Bryant, CEO of DOSS Group Inc., hōmhub calls itself the world’s first “Real Estate Operating System,” or ReOS. The vision is a fully peer-to-peer platform that connects buyers, sellers, renters, landlords, investors, and service providers directly, bypassing the MLS entirely. It supports all property types, from residential and short-term rentals to wholesale properties and land.
The Vision
The ambition is enormous. The company claims to be working with Google advisors and engineers on its technology infrastructure. Bryant is a Forbes Business Council contributor and has published extensively on Medium, LinkedIn, and even HousingWire about the platform’s philosophy of “democratizing” the MLS rather than disrupting it.
Bryant’s messaging differs from Beycome and Homa in one important way. He positions hōmhub as pro-agent, arguing that the platform empowers Realtors rather than replacing them, ensuring that listing agents keep control of the leads generated by their own listings instead of having that attention sold back to them by portals like Zillow. Whether the execution matches the philosophy remains to be seen.
The Reality Right Now
hōmhub is launching in Texas, with plans to expand to California, Florida, and New York once key performance indicators are met. As of now, actual listings on the platform are sparse. The gap between the volume of thought leadership content and the volume of real inventory is hard to ignore.
That is not necessarily a death sentence. Every platform starts somewhere. But consumers evaluating hōmhub today need to understand that this is a pre-scale platform with a bold vision and very little track record. A real estate operating system with no listings cannot help anyone buy or sell a house, regardless of how sophisticated the AI is.
Can AI Actually Replace Your Real Estate Agent?
These three platforms represent the current spectrum of AI-driven real estate. Beycome optimizes the existing system. Homa replaces one side of the transaction. hōmhub wants to build an entirely new infrastructure.
Each model has trade-offs. Each one solves a real problem while potentially creating new ones. And none of them are having an honest enough conversation about where their technology actually stops and where human expertise, local knowledge, and relational skill still carry the deal.
That is what this series is for.
What Is Coming Next
In the next post, we will break down what these platforms genuinely get right, and why agents who dismiss them entirely are making a mistake.
About the Author
Stacy Adell (liscensed at Stacy Bennin) is a licensed Montana real estate broker and the founder of Bennin Systems, where she builds AI chatbots, automations, and web platforms for businesses. She works with real buyers and sellers in Montana while also building AI systems used by companies across multiple industries. She writes about the intersection of real estate, AI, and technology at stacyadell.com.
