What it is
Veld Portfolio is portfolio analytics and deal underwriting software for people who own a small number of rental properties and care about the numbers, not day-to-day property management.
What you use it for
Add each property once and keep a live view of how your portfolio is performing. The dashboard summarizes equity, cash flow, cap rate, loan-to-value, and how your rents and values compare to market benchmarks so you are not guessing from scattered spreadsheets.
For properties you already own, property-level views include mortgage amortization and scenario work: change rent, value, or financing assumptions and see how outcomes look over multi-year holds. A mortgage simulator helps you model loans and payoff behavior per property.
When you are buying, the deal analyzer supports full acquisition underwriting: cash flow, cap rate, DSCR, cash-on-cash return, gross rent multiplier, and related metrics. You can save multiple analyses, compare deals side by side, and when you close, promote a winning analysis into the portfolio so your assumptions carry forward instead of being retyped.
Rent and value estimates use market data (via RentCast) next to what you enter, so benchmarking does not require another tab or another tool.
Free tools
Several calculators work in the browser without an account (for example BRRRR, fix and flip, and short-term vs long-term rental comparisons), which is useful for people still shopping for their first deal.
Data in and out
You can import and export via CSV using a documented format, which helps if you are migrating off spreadsheets or sending numbers to an accountant.
What it is not
Veld does not collect rent, screen tenants, manage leases, sync banks, or replace full general-ledger accounting. It is built for investors who want clarity on performance and underwriting, and who use other tools for operations and books if they need them.
Pricing
Free: one property and a limited number of saved deals, full feature access within those limits, no credit card.
Investor: $15 per month (annual billing available). - 5 Saved Properties, 20 Saved Deals
Pro: $29 per month (annual billing available) - 20 Saved Properties, 50 Saved Deals
Higher tiers also include higher hourly limits on estimate requests.
In one line
One place to track a rental portfolio and analyze new deals with consistent metrics, fewer spreadsheets, and less re-entering the same property data.
Features
- Portfolio dashboard with equity, cash flow, cap rate, LTV, and rent vs market benchmarks
- Property detail with per-property metrics and mortgage amortization
- Multi-year scenario projections on owned properties (e.g. 5 / 10 / 20 year holds, rent growth, expenses, optional sale)
- Deal analyzer for acquisitions: cash flow, cap rate, DSCR, cash-on-cash return, gross rent multiplier
- Save and compare multiple deal analyses; promote a winning analysis into the portfolio when you close
- Mortgage simulator for amortization and payoff modeling per loan
- What-if scenario modeling with sliders for rent, value, and mortgage assumptions
- Rent and property value estimates from market data (RentCast), shown next to your inputs
- Free public calculators (e.g. BRRRR, fix and flip, STR vs LTR) without signing up
- CSV import and export using a documented column format
Use Cases
- Track an existing small rental portfolio (about 1–10 doors) — see equity, cash flow, cap rate, LTV, and how rents and values compare to market in one place instead of juggling spreadsheets.
- Underwrite a new purchase before you buy — model cash flow, cap rate, DSCR, cash-on-cash, and GRM; save analyses and compare options side by side.
- Turn a winning deal into a tracked property after closing — promote a saved analysis into the portfolio so assumptions carry over and you are not re-entering everything.
- Stress-test owned properties — run what-if changes to rent, value, or financing and view multi-year hold projections (including optional sale scenarios).
- Understand loans over time — use amortization and payoff views per mortgage instead of rebuilding schedules in Excel.
- Try the math before signing up — use free public calculators (e.g. BRRRR, fix and flip, STR vs LTR) for quick checks on specific strategies.
- Move off a spreadsheet or export for your CPA — import portfolio rows via CSV and export when you need a file for taxes or offline review.
- Pair with your existing stack — keep using your bank, PM tool, or accounting software for operations; Veld stays focused on investor metrics and deal math, not rent collection or full ledger accounting.
Comments
The focus on analytics and deal underwriting rather than day-to-day management is exactly the right cut for small landlords — most portfolio tools try to do everything and end up doing none of it well. Having cashflow projections and deal analysis in one place alongside your existing properties removes the spreadsheet juggling. Would be interesting to see a cap rate vs local market comparison feature down the line.
The cap rate benchmarking via RentCast data is a genuinely useful differentiator — most landlords I know are still manually pulling comps from Zillow. The DSCR and cash-on-cash side-by-side deal comparison is something spreadsheets make tedious, so having it built in saves real time when evaluating acquisitions. One question: does the mortgage simulator account for interest-only periods, or is it strictly amortizing? That would be useful for modelling bridge loans on fixer-uppers.
It’s refreshing to find a tool that doesn’t try to be a mediocre property manager. Most platforms focus on tenant screening or collecting rent, but Veld actually tackles the part I care about: the math. Being able to run multi-year hold scenarios and mortgage simulations without breaking a spreadsheet is a huge time saver. Using RentCast for live benchmarking right in the dashboard is a smart touch too.
The mix of portfolio tracking and acquisition underwriting is a strong combination, especially for investors who want to stop re-entering the same assumptions across spreadsheets. I also like that you pair user inputs with market benchmarks instead of forcing a separate research workflow. One question: when you promote a saved deal into the live portfolio, do the scenario assumptions stay editable afterward or are they locked as the acquisition baseline?
Clean positioning — I like that it focuses on investors who care about the numbers, not property management. The “promote a deal into your portfolio” flow is especially smart and solves a real pain with re-entering data. Feels like a solid replacement for spreadsheet chaos. Curious how flexible the scenario modeling gets for more complex deals.
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Comments
The focus on analytics and deal underwriting rather than day-to-day management is exactly the right cut for small landlords — most portfolio tools try to do everything and end up doing none of it well. Having cashflow projections and deal analysis in one place alongside your existing properties removes the spreadsheet juggling. Would be interesting to see a cap rate vs local market comparison feature down the line.
The cap rate benchmarking via RentCast data is a genuinely useful differentiator — most landlords I know are still manually pulling comps from Zillow. The DSCR and cash-on-cash side-by-side deal comparison is something spreadsheets make tedious, so having it built in saves real time when evaluating acquisitions. One question: does the mortgage simulator account for interest-only periods, or is it strictly amortizing? That would be useful for modelling bridge loans on fixer-uppers.
It’s refreshing to find a tool that doesn’t try to be a mediocre property manager. Most platforms focus on tenant screening or collecting rent, but Veld actually tackles the part I care about: the math. Being able to run multi-year hold scenarios and mortgage simulations without breaking a spreadsheet is a huge time saver. Using RentCast for live benchmarking right in the dashboard is a smart touch too.
The mix of portfolio tracking and acquisition underwriting is a strong combination, especially for investors who want to stop re-entering the same assumptions across spreadsheets. I also like that you pair user inputs with market benchmarks instead of forcing a separate research workflow. One question: when you promote a saved deal into the live portfolio, do the scenario assumptions stay editable afterward or are they locked as the acquisition baseline?
Clean positioning — I like that it focuses on investors who care about the numbers, not property management. The “promote a deal into your portfolio” flow is especially smart and solves a real pain with re-entering data. Feels like a solid replacement for spreadsheet chaos. Curious how flexible the scenario modeling gets for more complex deals.
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