Ten Questions With Brian Lichtenberger, Founder of Brightplace

Most of the AI search startups circling property right now are chasing homebuyers. Brightplace, a Manhattan-based proptech that launched its AI Rental Advisor at the end of April, is taking a different bet: that the US rental market, with its lower transparency, fragmented supply and notoriously underwhelming incumbents, is where an AI-native platform has the clearest opening.

It's not founder Brian Lichtenberger's (pictured below) first run at selling data and AI into real estate. He previously founded 7Park Data and Markerr, the CRE data business backed by RET Ventures and acquired by Real Estate Business Analytics in December 2025. Brightplace, with four employees and a spot in the inaugural RET Ventures Proptech AI Accelerator, lands him back in the same investor circle, this time pointed at consumers rather than institutional landlords.

The backdrop matters too. We recently published research showing that only around 2% of the world's 900 largest property portals offer any kind of AI search, and that most of what passes for it is a free-text box bolted onto a filter. Brightplace, built around an agentic data model rather than a conversational wrapper, is the kind of bet that could either prove or puncture the case for AI-first rental discovery. We had ten questions for Brian...

What is the problem that brightplace solves?

The experience of renting an apartment was built for an era before AI. Consumer behavior has permanently changed. Renters are moving beyond the browse-and-filter experience. They want tools that help them make a decision. For renters, brightplace combines discovery, research and diligence into one conversational experience, delivering the depth of an LLM with real-time apartment supply to answer the critical questions about the unit, property and neighborhood. We are also building for a future where the renter is not a person but an AI agent acting on their behalf, discovering apartments, evaluating options and booking a tour or signing a lease. For operators, brightplace enables them to compete in an AI-first world.

What made you want to build an AI real estate search platform?

Last summer I started thinking about how much the Internet was going to change in light of AI search. Everywhere I looked I saw a disconnect between the experience of shopping, buying or renting pretty much anything online and the dominant platforms in each vertical. AI is the dividing line for anything shopped, purchased or leased on the Internet. As I dug into apartment rentals, an industry I've spent the last 5 years in, I saw the opportunity to build something for renters that better mirrored evolving consumer behavior.

What is the business model, and who are your customers?

We are building the most modern, intelligent experience for renters, full stop. Our service is free to renters. Our monetization path is with operators, in two ways: those that want to deploy our AI Rental Advisor on their own sites, and those that successfully sign leases with renters we connect them with. We offer both subscription and pay-for-performance models.

There's a third element I think is the most important long-term. Every interaction a renter has with brightplace generates intent data that is incredibly valuable: what renters actually care about, what questions they're asking, what tradeoffs they're making, what causes them to choose one apartment over another. That data doesn't exist today in any structured form. It compounds over time, will improve the renter experience and gives operators a window into renter decision-making they've never had before.

There's no MLS for rental listings, so how does brightplace get its inventory?

brightplace indexes listing information directly from operator websites and validates the data in real time. We are also integrating with several property management systems, and I expect announcements in the weeks ahead as we finalize those partnerships.

What are the incumbent rental portals in the market getting wrong?

This isn't unique to incumbents, but a lot of the focus around AI search in homebuying and rentals is the idea that renters want to describe their search in natural language. I agree with that, but it's not the ultimate goal. The conversational layer is table stakes.

What renters want, and we heard this in our research, is the ability to make a more informed decision. They want tools to perform their own research: a clear understanding of how fees impact their Total Monthly Cost, granular insight into the property and neighborhood, the experiences of past tenants and the ability to tour on their own. The conversational layer is a means to achieve that, but it only works if the data and intelligence behind it are built for that purpose.

Brightplace is quite clearly an AI-first venture. We recently put out a report on portals claiming to have AI search and found that without great data, the AI is pretty useless. What data does brightplace have that will make the AI part worthwhile?

My background is 20+ years in data across multiple industries, so this is something I think about a lot. We work backwards from the questions renters actually ask and say, "Ok, what data do we need to deliver this context?" That defines our entire data model. It points us to the unit, the property, floorplans, financial data, neighborhood context, points of interest and landmarks, among other datasets.

I'd also make a distinction between agentic AI and conversational wrappers. Wrappers built on legacy data structures are the fastest path to market but inherently limited. You cannot deliver a true AI experience on top of legacy infrastructure, and I think that was a big contributor to the results you saw in your testing.

At brightplace we've deployed a genuinely intelligent agent, our AI Rental Advisor, and there are two critical distinctions. First, because we built brightplace ground up on AI, our data structure and APIs are organized to enable a truly agentic experience. Second, our agent can reason across data, whether text, numbers or images. Ask the Rental Advisor whether a floorplan fits your ability to work from home, and it can answer. If a renter says they have a dog, the Rental Advisor will unprompted evaluate the decision with their pet in mind: pet policies, pet-related fees beyond rent, neighborhood walkability and proximity to dog-friendly parks.

That comes down to our data, architecture and AI.

How do you plan to build an audience and scale the business?

It's going to take time, and we're attacking it on multiple fronts. We started producing renter content in March and are already seeing real traction, with no known brand and zero external marketing spend. We're building that content for a world where renters increasingly discover information through AI search, not just traditional search.

The rental decision is rarely made alone, so we are enabling ways for renters to share their brightplace experience with roommates, partners and family. We are also deploying the AI Rental Advisor directly on operator sites in a "powered by brightplace" model, which creates distribution through the operators themselves.

All of this is connected. Every channel, every renter interaction, every piece of content feeds into how we run the business. That's what it means to be AI-first: it's not just the product, it's how we operate.

Which products or companies have you taken inspiration from when building brightplace?

We started with the idea of 'Claude for apartment rentals' and have evolved beyond that original framing. The team uses a lot of AI tools to build and operate; ones we appreciate include Granola, Lovable and Cursor.

Another company I came across last year is Mindtrip, which is building something very similar in travel. They're a bit further along than brightplace, but it's an impressive business.

What momentum does brightplace have so far and what's on the to-do list for the next couple of months?

brightplace was selected for the inaugural RET Ventures Proptech AI Accelerator a few weeks ago, which created momentum with operators and the wider proptech world and drove the partnership discussions I mentioned earlier. We're being thoughtful about if and when we raise capital, but there's tremendous interest from investors.

Most importantly, I'm honestly blown away by our engagement with renters. This is a new company with 4 employees, no known brand and an entirely new product, and renters across the country are already asking brightplace to help them find an apartment. That tells us everything we need to know about demand for a better experience.

What is one thing you think the real estate marketplace industry should be talking about more?

I haven't spent the last 20 years in this specific space, so this may sound naive, but from my perspective very few companies are actually building first for renters. I don't mean that as a criticism, existing tools were created with a different objective.

At brightplace, we set out to build the best possible experience for renters. That is the rationale for why brightplace exists, and it shapes decisions across the business, from our content to our product to our messaging to our hiring. If we get that right, everything else will take care of itself.