Fresh Off Seed Round, Brokerbot Eyes Next Phase Of Brokerage Automation

For many real estate brokers, the daily barrage of agent questions — “Where’s the W-9?,” or, “What’s our commission split again?” — adds up to dozens of hours each month, often interrupting nights and weekends.

BrokerBot, the artificial intelligence (AI) teammate platform built by Ribera AI, Inc. and a HousingWire 2026 Tech100 Real Estate winner, is changing that math.

The company recently announced the close of its seed funding round, led by Grand Ventures, with participation from Second Century Ventures, the strategic investment arm of the National Association of Realtors (NAR).

Since launching in early 2025, BrokerBot has been deployed across 240-plus brokerages and more than 30,000 agent users — helping automate administrative workflows, enforce compliance and answer agent questions instantly using each brokerage’s own documents and policies.

Co-founder and CEO Jerimiah Taylor sat down with HousingWire to explain how brokers are benefiting and what comes next.

Editor’s note: This interview has been edited for length and clarity.

Jonathan Delozier: What types of agent inquiries are being resolved most frequently, and where are brokers seeing the biggest operational impact?

Jerimiah Taylor: The number one use case is, if you’ve been a real estate broker for any period of time, you’ve received a call from your agent that goes something like, “Hey, Jon, it’s Jerimiah. Sorry to bother you on a Saturday, but I just got a quick question, you got a minute?” And then that’s followed by, “I need a copy of the W-9 to turn into escrow, where do I find that again?” Or it’s just some relatively trivial thing that the agent needs support with. They don’t know exactly where to find it. We’ve solved that problem by embedding the entire corpus of knowledge for the brokerage and making it accessible across every channel using our artificial intelligent assistant on behalf of a brokerage.

Jonathan Delozier: How does BrokerBot ensure that answers are based on a brokerage’s own policies, compliance concerns and workflows — and what role has that played in achieving the 70% reduction in minor contract corrections?

Jerimiah Taylor: We actually translate all of the compliance documents at the national, state, local, brokerage and even the team or individual level into machine-readable instructions that we create a compliance fence around as skills inside of the machine. One of the biggest things that has been a challenge for us has also been a differentiator — to make it so the BrokerBot knows what it knows, and it knows what it doesn’t know and it knows the difference between the two.

When we launch with a brokerage, we do a pretty good job extracting and getting it right out of the gate. Over that first two months that we’re live, what will happen is the agents will come to BrokerBot looking for help with things that we won’t have the answers to. Unlike ChatGPT and others that just make it up or guess, we either do a live web search, and if there is a resource that the directors pointed us to on the net, we’ll pick that up. If we don’t have it, we just simply tell the agent, “Hey, we don’t have that. We let somebody on your leadership team know,” and we fire off an email and a text and then somebody on the brokerage leadership team answers the question. Obviously we save that, so that the next time that question comes up, that’s a training moment.

Jonathan Delozier: What patterns have you seen among the top-performing clients, and what separates them from firms where you’re not seeing the same kind of adoption?

Jerimiah Taylor:  It’s interesting, especially in these franchise companies — because they get the same franchise playbook, but they do very different things with it. You get a Keller Williams that has 2,000 agents [adopting the platform] and one that is struggling to have 25, and a lot of that is about the leadership’s ability to communicate and implement. What we found is that a tremendous percentage of these brokerages don’t have written [standard operating procedures]. Originally, we built a tool that we handed to the broker and said, “Okay, now you just upload all your stuff, I’m going to learn from it.” What we found is about a third of the brokers would just get stuck because they didn’t have anything to upload. It all lived in their heads and it was poorly documented. So we’ve recently built our own interview-based onboarding to where we use a combination of AI agents and in-person Zoom interviews that are recorded to build out their operating playbook.

The key metrics we look at are, 90 days post-launch, can we get 51% of the agents to claim their account? That’s based on the reality that we know that about half the agents of a brokerage actively make a living selling real estate. At that 90-day mark, can we get roughly 35% of the activated users to become weekly users of the tool? And of that 35%, we look for roughly 40% of them to be daily users.

Jonathan Delozier: The next phase is moving from answering questions to completing work with agentic AI. Can you share examples of the kinds of tasks BrokerBot will soon be able to do with transaction management, e-signatures the MLS and so on?

Jerimiah Taylor: We already do a lot of that today. We already have the capabilities where they upload their contract, they click the button, it reads all the dates, it sets reminders, it texts them the day before and emails them that their critical dates are due, puts everything in their Follow Up Boss and creates the deal in their pipeline. It uploads the contract to SkySlope for them — that is 100% live.

We can do the administrative work on behalf of the licensee, but we need to firmly understand where regulation stops and starts, because it also changes by jurisdiction. What we can do is take the agent instructions, do internet research and then parse all the contract fields down for them. What we’re doing with SkySlope is they’re giving us the ability to render their SkySlope signing experience right inside BrokerBot. The agent can call or send a quick text, we can generate the contract based on their brokerage’s templates, show it to them, they do a quick review, clean up anything they need to and then hit send. The tool goes out and they’re able to do that.

I’ve been at [NAR’s 2026 Realtors Legislative Meetings] all day today, and people ask me, “What does it do?” And I say, “Can I take a picture of your badge?” I take a picture of their badge, I say, “Hey BrokerBot, go find their name and email.” Then I write a little dossier on them, put them in Follow Up Boss, add a note for next week and send them an email thanking them, saying it was nice to meet them.

Then you just see their eyes go wide open, because they’re like, “Wait, how’s it finding my cell phone number and finding my email?” Well, you’re a Realtor — it’s on the internet. But just the fact that it’s able to do that off of a quick picture and a text message, it’s really impressive.