Commercial real estate software is sold on a handful of pricing models, and which model you sign matters far more than the number printed on any vendor's pricing page. Listing and CRM tools bill per seat, data platforms bill by contract or call volume, and enterprise deals are quoted privately. Financing execution is normally paid at closing.
This is a fifteen-tool breakdown of the platforms CRE teams actually buy, organized by what each one is for, how it charges, and what it quietly duplicates. If you already run AI for deal sourcing or lender matching, the rest of the stack should feed that workflow rather than compete with it.
What does CRE software actually cost in 2026?
There is no single answer, because most CRE vendors publish no rate card at all and quote against seat count, portfolio size, or contract length. The tools that do list a price sit at the low end, while the market-data and asset-management platforms that anchor most stacks are sold as annual enterprise agreements.
The table below drops dollar figures on purpose. Published CRE list prices move, several vendors show none at all, and a number copied out of a blog post is worth far less to you than knowing how a vendor charges and what the charge excludes. Confirm the current number with the vendor before you sign.
| # | Tool | Category | How it charges | Borrower Value Score (/10) | What the pricing page leaves out |
|---|---|---|---|---|---|
| 1 | YieldStack | AI commercial mortgage brokerage | $0 upfront; broker fee 0.50–1.00% at closing | 9/10 | Nothing bills monthly, so cost only lands on deals that close |
| 2 | Buildout | CRM / marketing | Per seat, monthly | 8/10 | OM export and syndication sit in higher tiers |
| 3 | CoStar | Market data | Annual contract, per seat, quoted | 9/10 | Term length and seat minimums are negotiated, not listed |
| 4 | Crexi | Listings / data | Flat subscription with paid tiers | 7/10 | Analytics is an add-on above the listings tier |
| 5 | Cactus | Underwriting AI | Flat subscription | 7/10 | Underwriting only; the deal is handed off before lender routing |
| 6 | RealNex | CRM / pipeline | Per seat, monthly | 7/10 | The entry seat is CRM only; the suite is a higher tier |
| 7 | VTS | Asset management | Per asset, quoted | 6/10 | Landlord-side by design, with portfolio minimums |
| 8 | Matterport | 3D tours | Flat tiers by active spaces | 6/10 | Capture hardware and hosting overages are separate |
| 9 | Finance Lobby | Lender marketplace | Free to brokers; lenders subscribe | 5/10 | Bids arrive on the lenders' timetable, with no pre-screen |
| 10 | LoanBase | Lender matching | Per broker, tiered | 5/10 | Broader lender access sits behind the paid tier |
| 11 | Attom | Property data API | Usage, by call volume | 7/10 | A bulk pull can move you into a higher volume band mid-term |
| 12 | BrokerMint | Commission tracking | Per user, monthly | 4/10 | CRM integrations are priced separately |
| 13 | Janover Pro | Broker marketplace | Per broker subscription, quoted | 5/10 | The OM builder is the differentiator, not the lender list |
| 14 | CommLoan | Lender matching | Quoted, not published | 4/10 | Neither the lender set nor the match logic is disclosed |
| 15 | LoopNet | Listings | Flat tiers by listing placement | 5/10 | Premium placement is an upsell above every base tier |
How do CRE software pricing models actually differ?
Six models cover almost everything a CRE team buys, and each one fails in a different way as the team grows or the deal count changes. Per-seat pricing punishes headcount, usage pricing punishes a good quarter, per-asset pricing punishes portfolio growth, and quoted enterprise pricing punishes whoever negotiates last.
Across software-as-a-service generally, subscription and pay-for-usage are the most common revenue models, per Wikipedia's overview of software as a service. CRE layers two more on top: per-asset billing for landlord platforms, and quoted enterprise or account-based contracts for the data vendors nobody can buy with a credit card.
- Per seat, per month. The default for CRM and marketing tools. Cheap to start, and the one model that turns hiring into a software decision.
- Flat subscription. One price for the account regardless of headcount. Best value for small teams, and the tier ladder is where the real pricing lives.
- Per asset. Asset-management platforms bill against the portfolio, so the bill grows with the thing you were trying to grow.
- Usage or API volume. Property-data APIs bill by call. Predictable until a backfill or a bulk pull pushes you into the next band mid-contract.
- Quoted enterprise or account-based contracts. No public price, annual or multi-year terms, and a number that depends on how your account was scoped. This is where most of a CRE budget actually goes.
- Paid at closing. Brokerage sits here. YieldStack is $0 upfront and the broker fee is 0.50–1.00%, paid only when the loan closes.
Which categories overlap, and where can you cut?
Overlap is where CRE budgets leak, because listings, market data, CRM and underwriting tools all ship a slice of each other's feature set. Most teams pay twice for property records and three times for a contact database before they notice. The breakdowns below show which pairs genuinely stack.
AI lender matching
This is where the tools diverge most, largely because the products in this category are not actually solving the same problem. LoanBase gates broader lender access behind a paid broker tier. Finance Lobby is free to brokers and funded by lender subscriptions, so bids arrive when the lenders get to them. CommLoan and Janover Pro sit in the middle: active matching, no published match logic.
YieldStack is positioned differently from broker SaaS. It is a commercial mortgage brokerage, not a lender, and it is $0 upfront, with the broker fee of 0.50–1.00% paid at closing. Borrowers and sponsors use it for deal structuring, lender-fit analysis, term comparison and closing support rather than as one more dashboard to log into.
CRM and marketing
Buildout wins for marketing-heavy teams: OM automation, syndication to the listing portals, and email drip are native, so you can build targeted outreach around property type and buyer profile without a separate marketing platform. RealNex is the value play for smaller teams that want CRM, pipeline and basic marketing in one seat. VTS is the institutional landlord tool, and if you are a broker it is simply not your category.
The clean pairing is Buildout plus a financing workflow that bills at closing: Buildout handles marketing and the OM, financing execution picks up after the package is ready, and nothing overlaps.
Market data
CoStar is the institutional standard and the most expensive line on most stacks. Its comp database and broker contacts are hard to replace above a certain deal size. Below that, a listings subscription plus a property-data API covers a large share of the same day-to-day questions for a fraction of a negotiated annual contract.
Attom is the quiet one in this category: an API into national property records, AVM values, foreclosure history and neighborhood analytics, billed by call volume rather than by seat. For data-science workflows it is the cheaper shape. Crexi sits in the middle, a listings platform with data features attached, and the analytics add-on earns its keep only if you are actively sourcing where its listing density is strong. The Crexi vs LoopNet ROI math is the better way to choose between the two listing portals.
3D tours and visual
Matterport's entry tier covers a single active space, which is enough for one listing page or a borrower deck, and the higher tiers unlock unlimited models plus AI floor plans. Visual media helps a listing get attention; it does not help a deal get financed, which is why it scores mid-table here. The embed drops into any CMS in minutes, so it is a cheap experiment before it is a line item.
Underwriting and commission tracking
Cactus and its peers analyze what a deal is worth; they stop before the question of who will fund it. That handoff is the seam where most stacks leak time, and it is worth reading the full CRE underwriting tools comparison before you buy into one. BrokerMint sits at the other end of the deal, handling commission splits, agent payouts and compliance documents. Below a handful of agents a spreadsheet holds up fine; once split calculations and transaction documents multiply, back-office software starts earning its line item.
What does the Borrower Value Score measure?
The score is an editorial judgment rather than a benchmark, and it rates one thing only: how much closer a tool moves a borrower or sponsor to an executable financing outcome. A tool can be excellent at its own job and still score low here, because back-office and landlord platforms sit off the financing path entirely.
- 9 - 10: CoStar (comps and contacts), YieldStack (deal-to-lender matching across 5,000+ loan programs), Buildout (OM and buyer-list automation)
- 7 - 8: Crexi (active buyer pool), Attom (API for custom targeting), RealNex (CRM and pipeline segmentation), Cactus (pre-screen speed)
- 5 - 6: Finance Lobby (passive bids), Matterport (visual, not targeting), LoopNet (broad reach, limited targeting), VTS (landlord-side), Janover Pro, LoanBase
- 3 - 4: BrokerMint (back-office only), CommLoan (undisclosed match logic)
Where does financing execution belong in the stack?
Financing execution sits after underwriting, after the OM and after data collection, which is exactly why it should not be one more monthly subscription competing for the same budget. The debt terms move more money than the entire software stack does, and that is where a stack should end rather than where it should start.
The scale difference is not close. CBRE Research, reported by CRE Daily, put year-to-date US commercial real estate investment at $250.3B through Q2 2026, a 21% year-over-year rise, with commercial mortgage spreads narrowing 21 basis points to 204 bps and average commercial LTVs easing to 59.6% from 60.8%. The 10-year Treasury that most permanent quotes price against stood at 4.77% on September 3, 2026 in St. Louis Fed data. To size that, 21 basis points on an $8M loan is about $16,800 a year: an illustration of what a spread move of that size is worth, not a quoted term.
That is the argument for keeping the financing line off the subscription list. YieldStack is a commercial mortgage brokerage, not a lender: it helps borrowers and sponsors structure the request, compare lender fit and terms, and move to close, at $0 upfront, with the broker fee of 0.50–1.00% paid only at closing. Every credit decision is made by the lender, and deals are matched against 5,000+ loan programs. If the fee mechanics matter to you, what a broker fee actually covers walks through the math.
How do you build a stack without overpaying?
Three rules do most of the work here, and all three are about the shape of the bill rather than the size of it. Never pay twice for the same function, anchor spend to the revenue motion you actually run, and delay every recurring commitment until the workflow behind it has been proven.
The first rule is the one that saves real money. If your CRM syndicates listings to the portals natively, you do not need separate distribution subscriptions to each of them. If a matching workflow pre-screens lender fit for you, you do not also need a paid lender database.
The second rule is about direction. Teams whose revenue comes from transactions should weight toward CRM, data and lender access; teams whose revenue comes from managing assets should weight toward asset management and skip the transaction tools entirely. Anything that does not sit on the deal path is a candidate for zero.
The third rule is about sequence. Start with the option that costs nothing until it works, prove the workflow, then convert to the paid tool once the use case is real and you know which tier you actually need.
Recommended stack by team type
| Team type | Core stack | How it bills | What you skip |
|---|---|---|---|
| Solo transaction team | Crexi + RealNex + financing at closing | One flat subscription, one seat, $0 upfront on financing | VTS, BrokerMint, CoStar |
| Small transaction team (5 - 15 users) | Buildout + CoStar + financing at closing | Per seat on both tools plus a quoted annual data contract | LoanBase, Janover Pro |
| Investment team (acquisitions) | CoStar + Attom + Cactus + financing at closing | Quoted data contract, API usage, one flat underwriting tier | Matterport, LoopNet |
| Landlord or lender-side team | VTS + Matterport + Attom | Per asset, flat tiers, and API usage | Borrower-side financing tools |
The bottom line
Buy the pricing model, not the price: a per-seat tool you outgrow costs more than a quoted contract you negotiated once, and a usage-based API can outrun both. Audit the stack for duplicate property data and duplicate contact databases first, then decide what genuinely sits on the deal path.
The financing line is the one to keep off the subscription list entirely. If your team is paying for a matching tier or waiting in a marketplace queue, submit the deal instead: it is a 5-minute submit at $0 upfront, and the broker fee of 0.50–1.00% is paid only at closing.