Sellona

Platform connecting home buyers and sellers directly without commissions using AI.

Website: https://www.sellona.com

Cover Block

PUBLIC

Field Value
Name Sellona
Tagline Platform connecting home buyers and sellers directly without commissions using AI
Headquarters Northern Virginia, United States
Stage Pre-Seed
Business Model Marketplace
Industry Proptech
Technology AI / Machine Learning
Geography North America
Growth Profile Venture Scale
Founding Team Co-Founders (3+): Sarah McLaren, John Tramonte, Hunter Powers

Links

PUBLIC

Executive Summary

PUBLIC

Sellona is a Northern Virginia proptech building a direct-to-consumer marketplace that lets homeowners list and transact without paying a traditional listing or buyer-side commission, using AI to mediate the workflow that agents historically owned [wusa9]. The pitch arrives at a moment when the economics of U.S. residential real estate brokerage are under unusual pressure, and several venture-backed entrants are testing whether software can absorb a meaningful share of the roughly 5 to 6 percent transaction fee that has long been standard. The company was co-founded by Sarah McLaren, who previously worked at luxury brokerage Washington Fine Properties [RocketReach]; John Tramonte, a real estate attorney and licensed agent in McLean, Virginia [Homes.com]; and Hunter Powers, a technology executive whose prior stops include GLG, Bessemer Venture Partners, Interos, and Basket [RocketReach]. The product, per the company website, allows sellers to list at a fixed price or within a range, lets buyers broadcast purchase intent, and routes both sides to a marketplace of attorneys and other local experts who can be hired a la carte [Sellona; ZoomInfo]. Funding to date is not publicly disclosed, and the structured record shows no announced rounds, accelerator participation, or named institutional backers. Over the next 12 to 18 months, the questions that matter for an investor are whether Sellona can demonstrate listing supply in its home Virginia market, whether the expert marketplace generates take-rate revenue at scale, and whether AI features genuinely reduce the friction that keeps most owners from selling without an agent.

Data Accuracy: YELLOW -- Founders and product description corroborated by WUSA9, Medium/Authority Magazine, and the company website; funding and metrics are unconfirmed.

Taxonomy Snapshot

Axis Value
Stage Pre-Seed
Business Model Marketplace
Industry / Vertical Proptech / Residential Real Estate
Technology Type AI / Machine Learning
Geography North America (Mid-Atlantic launch)
Growth Profile Venture Scale
Founding Team Co-Founders (3+)

Company Overview

PUBLIC

Sellona was founded by Sarah McLaren, John Tramonte, and Hunter Powers to build what McLaren has described as "a digital infrastructure to buy and sell homes without commissions" [LinkedIn]. The company is based in Northern Virginia, and its early go-to-market appears focused on the Washington, D.C. metro, where Tramonte practices as a real estate attorney and McLean-area agent [Homes.com]. The exact incorporation date is not publicly available; Sellona is described in regional press as an emerging startup rather than an established operator [wusa9].

The origin story, as told by McLaren in an interview with Authority Magazine, frames Sellona as a response to friction the founders observed inside traditional residential transactions, particularly the bundled commission model in which a single agent fee covers a wide range of services that buyers and sellers may or may not need [Medium]. McLaren has described early customer-discovery conversations that pushed the team toward a model in which sellers retain pricing control and buyers can engage specialists, like attorneys or inspectors, only when they need them [Medium]. The product surface today reflects that framing: free listings, a buyer-broadcast feature, and a separate "Expert Marketplace" page on the company site [Sellona].

Public milestones are limited. WUSA9, the CBS affiliate in Washington, D.C., has covered Sellona twice, including a segment headlined around whether the platform could make agents obsolete [wusa9]. Beyond press coverage, founder LinkedIn updates, and the company's own pages, the public record contains no disclosed funding rounds, no named institutional investors, and no published user, listing, or transaction metrics.

Data Accuracy: YELLOW -- Founding team and HQ confirmed by LinkedIn and WUSA9; entity and milestone dates are not publicly available.

Product and Technology

MIXED

Sellona's product, per the company's own pages, is a two-sided marketplace that strips the listing and buyer-representation commissions out of a residential transaction and replaces them with self-service tools plus a paid expert layer. On the seller side, the site states that owners can "set a fixed price, or list your home within a price range," with the platform accommodating either pricing strategy [Sellona, How It Works]. On the buyer side, ZoomInfo's profile, which appears to draw from Sellona's marketing copy, describes the platform as one where "users can list their homes for free, broadcast their home buying needs, and access a marketplace of local experts such as attorneys" [ZoomInfo]. The Expert Marketplace page positions licensed professionals, with attorneys called out specifically, as the paid services that surround the free listing layer [Sellona, Expert Marketplace].

The AI dimension is described in press coverage rather than in any technical disclosure. WUSA9 reports that Sellona "lets buyers and sellers connect directly, eliminating commission fees and using AI for smarter real estate transactions" [wusa9]. The company has not published a model card, technical blog, or engineering job posting visible in the captured research, so the underlying stack and the specific tasks AI performs (pricing guidance, document drafting, matching, or conversational support) are not publicly documented. No GitHub organization, public API, or mobile app listing was surfaced.

For an investor, the most useful product question is what the platform actually does that a flat-fee MLS service or a discount brokerage does not. The publicly described feature set, free listing, buyer broadcasting, and an expert marketplace, is recognizable from prior generations of for-sale-by-owner products; the differentiation case rests on the AI layer and the quality of the expert network, neither of which has been quantified in the public record.

Data Accuracy: ORANGE -- Product description sourced primarily from the company's own pages and a single regional press outlet; technical claims are not independently verified.

Market Research and Opportunity

PUBLIC

U.S. residential real estate is in the middle of the most significant change to its commission structure in a generation, which is the backdrop against which any commission-disruption pitch should be read. The National Association of Realtors' March 2024 settlement and the related rule changes that took effect in August 2024 decoupled buyer-agent compensation from MLS listings and required written buyer-broker agreements, a shift that has prompted brokerages, portals, and software entrants to rethink how transaction fees are quoted and split. Sellona's pitch, that buyers and sellers can transact directly and pay only for the services they actually use, sits squarely inside that shift.

The addressable market is large in absolute terms. The U.S. sees several million existing-home sales each year, and at a national median sale price in the mid-$400,000s, even a modest take rate against transaction value implies a multi-billion-dollar revenue pool currently captured almost entirely by brokerages and agents. The structured facts for this report do not include a third-party TAM figure specific to commission-free or AI-mediated residential transactions, so any precise sizing here would be (estimated) rather than cited; what can be said with confidence is that the commission pool being contested is denominated in tens of billions of dollars annually in the U.S. alone.

Demand-side tailwinds are real but uneven. Sellers in hot markets have always been the most willing audience for FSBO and discount models, because high price-per-square-foot makes the percentage commission feel acute. The 2024 rule changes add a second tailwind on the buy side: for the first time, buyers must explicitly agree to and often directly fund their agent's compensation, which creates an opening for products that let them opt out of full-service representation. Working against these tailwinds is the durable consumer preference for full-service agents, particularly among first-time buyers, and the network effects of MLS distribution, which off-MLS listings have historically struggled to match.

Market signal Detail Source
Regulatory catalyst NAR settlement and August 2024 rule changes decoupled buyer-agent compensation from MLS Industry public record
Competitive density Multiple discount, flat-fee, and FSBO platforms operate in the U.S. residential market Industry public record
Sellona positioning Free listing plus paid expert marketplace, with AI workflow layer [Sellona; wusa9]

The analyst takeaway is that the timing argument for Sellona is genuinely better in 2024 to 2026 than it has been at any prior point, because the regulatory and consumer-behavior environment is moving toward unbundling. The execution argument, by contrast, has not been validated in the public record: no listing counts, transaction volumes, or geographic expansion milestones have been disclosed.

Data Accuracy: YELLOW -- Regulatory context is part of the public record; company-specific market share and TAM figures are not disclosed in the captured research.

Competitive Landscape

MIXED

Sellona is entering a category that has been contested for two decades by FSBO platforms, flat-fee MLS services, discount brokerages, and the major portals, and where AI-native entrants are now adding a fresh layer of competition. The structured facts for this report do not name specific competitors, so the comparative analysis here is written as prose against the publicly known shape of the market rather than as a head-to-head table.

The competitive map has roughly three bands. The first band is legacy FSBO and flat-fee MLS, where companies like ForSaleByOwner.com and Houzeo have for years offered owners a way to list on the MLS for a few hundred to a few thousand dollars without engaging a full-service listing agent. These services have proven that demand for an unbundled product exists, but they have not displaced the dominant agent-led model at scale. The second band is discount and tech-enabled brokerages, including Redfin and a number of regional players, which retain a licensed-agent relationship but compress the fee. The third band, and the one Sellona most directly belongs to, is AI-native consumer marketplaces that aim to replace the agent's coordination function with software plus on-demand specialists. This is the segment most exposed to the post-settlement consumer behavior shift, and it is also the segment where venture funding is most active.

Sellona's defensible edges, on the public evidence, are concentrated in two places. The first is founder fit: Tramonte's status as a practicing real estate attorney and McLean-area agent gives the company genuine domain knowledge in transaction mechanics and a credible anchor for the Expert Marketplace [Homes.com], while McLaren's prior tenure at Washington Fine Properties provides exposure to high-end brokerage workflows [RocketReach], and Powers brings two decades of technology execution including a stop at Bessemer Venture Partners [RocketReach]. The second is geographic focus: by launching in Northern Virginia, the team can compound listings, expert relationships, and word-of-mouth in a single high-value metro before attempting national expansion. Both edges are perishable in the sense that domain expertise and a local launch are necessary but not sufficient against well-capitalized competitors.

The most acute exposure is distribution. The dominant consumer entry points for home search remain Zillow, Realtor.com, and Redfin, all of which derive monetization from the agent ecosystem Sellona is trying to route around. A commission-free marketplace that cannot get its listings in front of the buyers searching on those portals faces a structural disadvantage that no amount of AI workflow can fully solve. The plausible 18-month scenario is bifurcated: Sellona is a winner if it can prove that its Northern Virginia listings transact at competitive prices and timelines, which would give it a credible case study for expansion and for partnership conversations with portals or title and escrow incumbents; it is a loser if listing supply stays thin and the Expert Marketplace fails to generate meaningful take-rate revenue, in which case the company would face the same chicken-and-egg problem that has constrained prior FSBO platforms.

Data Accuracy: ORANGE -- No competitors are named in the structured facts; competitive shape is described from the public record of the U.S. residential real estate category.

Opportunity

PUBLIC

If Sellona executes on its stated model, the prize is a defensible position inside one of the largest fee pools in U.S. consumer finance, a pool that is being actively reshaped by regulation for the first time in decades.

The headline opportunity. The single largest outcome Sellona could plausibly become is the default consumer-facing transaction layer for unbundled residential real estate in the post-NAR-settlement environment. The thesis is that as buyer-agent compensation moves from a default-bundled MLS field to an explicit line item that consumers must agree to, a meaningful minority of buyers and sellers will choose to engage specialists a la carte rather than pay a packaged commission. Sellona's product surface, free listings, buyer broadcasting, and an expert marketplace anchored by attorneys, is built for exactly that consumer [Sellona; ZoomInfo]. The evidence that this outcome is reachable rather than purely aspirational is the existence of WUSA9's coverage framing the company's direct-connect model as a credible disruption attempt [wusa9], plus the founders' combined exposure to brokerage, real estate law, and venture-backed technology [RocketReach; Homes.com].

Growth scenarios.

Scenario What happens Catalyst Why it's plausible
Mid-Atlantic anchor Sellona becomes the default unbundled transaction platform across the D.C., Maryland, and Virginia metro before expanding nationally Demonstrated transaction volume in Northern Virginia plus local title and escrow integrations Founders are based in and licensed in the metro [Homes.com]
Expert marketplace flywheel The take-rate on attorney, inspector, and closing services becomes the primary revenue line, with free listings as the acquisition layer Onboarding a critical mass of vetted local experts willing to pay for qualified buyer and seller leads Expert Marketplace already exists as a product surface [Sellona]
Regulatory tailwind capture Post-settlement consumer behavior shifts faster than incumbents can adapt, and Sellona captures share among the cohort of buyers newly required to negotiate their own agent compensation Continued enforcement and visibility of the August 2024 rule changes Regulatory shift is part of the public record

What compounding looks like. The flywheel Sellona is implicitly building runs through the Expert Marketplace. Free listings draw in supply; supply attracts buyers; buyer activity creates qualified demand for attorneys, inspectors, and closing specialists; expert revenue funds further acquisition and product investment; and accumulated transaction data improves AI-driven pricing and matching. The public evidence that this flywheel is already turning is thin: no listing or transaction counts are disclosed. What is disclosed is that the architecture, free supply layer plus paid services layer, has been built and is live on the company site [Sellona].

The size of the win. A useful comparable is the public market value the U.S. has historically assigned to residential real estate platforms. Zillow, Redfin, and Opendoor have at various points carried multi-billion-dollar market capitalizations against far lower take rates than the full agent commission. A commission-disruption platform that captures even a low single-digit share of unbundled transactions in a handful of high-value metros could plausibly support a venture-scale outcome (scenario, not a forecast). The honest version of this case is that Sellona is at the very beginning of proving any of it, with no disclosed funding, no published metrics, and a single launch metro; the upside is real but contingent on execution that has not yet been demonstrated in public.

Data Accuracy: YELLOW -- Opportunity framing rests on confirmed product surface and the public record of the U.S. residential real estate category; company-specific traction is not disclosed.

Sources

PUBLIC

  1. [WUSA9] Northern Virginia tech startup looks to disrupt real estate market | https://www.wusa9.com/article/money/business/northern-virginia-sellona-real-estate-ai-artificial-intelligence/65-7e3e38bb-582c-49f6-93da-1274ed64084e

  2. [WUSA9] Could this Northern Virginia startup make real estate agents obsolete? | https://www.wusa9.com/video/tech/could-this-northern-virginia-startup-make-real-estate-agents-obsolete/65-a3af54cf-7bb9-448a-b3f8-5cf3c7fcc171

  3. [Medium / Authority Magazine] Startup Revolution: Sarah McLaren of Sellona on How Their Emerging Startup Is Changing the Game | https://medium.com/authority-magazine/startup-revolution-sarah-mclaren-of-sellona-on-how-their-emerging-startup-is-changing-the-game-8e2fefed0a23

  4. [LinkedIn] Sarah K. McLaren, CEO, Sellona | https://www.linkedin.com/in/sarah-k-mclaren-7650001b/

  5. [LinkedIn] Hunter Powers, Sellona | https://www.linkedin.com/in/hunterpowers/

  6. [LinkedIn] John Tramonte, Real Estate Attorney | https://www.linkedin.com/in/john-tramonte-3a6025123/

  7. [LinkedIn] Sellona company page | https://www.linkedin.com/company/sellona

  8. [ZoomInfo] Sellona, Overview, News & Similar companies | https://www.zoominfo.com/c/sellona/1339728504

  9. [ZoomInfo] Johnny Tramonte, Co-Founder at Sellona | https://www.zoominfo.com/p/Johnny-Tramonte/-952132651

  10. [ZoomInfo] Hunter Powers, Co-Founder & CTO at Sellona | https://www.zoominfo.com/p/Hunter-Powers/10330653968

  11. [Sellona] How It Works | https://www.sellona.com/how-it-works

  12. [Sellona] Expert Marketplace | https://www.sellona.com/expert-marketplace

  13. [Sellona] Home Sellers | https://www.sellona.com/home-sellers

  14. [Sellona] Home Buyers | https://www.sellona.com/home-buyers

  15. [Hunter Powers Website] Hunter Powers personal site | https://www.hunterpowers.com/

  16. [Homes.com] John Tramonte, Real Estate Agent in McLean, VA | https://www.homes.com/real-estate-agents/john-tramonte/id-24286174/

Articles about Sellona

View on Startuply.vc