Cap Orbit vs Blooma: The Investment Team vs the Lender’s Screen

Credit where due

What Blooma does well on the lending side.

Start with what is real. Blooma has operated since its 2020 launch as a screening and intelligence layer for CRE lenders, sitting on top of the loan origination and customer-relationship systems a bank already owns rather than replacing them. Inbound deals are screened against the institution’s own lending criteria across more than 5,000 data points, and the platform processes over $20 billion in loans annually for customers that have included Regions Bank and Sunwest Bank.

On data, the two take different routes. Cap Orbit’s sources are the deal’s own, uploaded or linked from where they already live, and the terminal reads only inside what you linked. Market data is Blooma’s ground: it integrates third-party CRE data for comps and market and submarket reads, and its Portfolio Intelligence module watches loan metrics with trigger-based alerts off market data. There is no third-party comps database behind Cap Orbit; if your risk process depends on a vendor watching the market for you, that is Blooma’s seat.

The pitch numbers are the vendor’s own: up to 85% less origination processing time, and 50% more transactions on the same headcount. Two tiers split by size, Blooma Pro for teams under four members originating below $500 million a year, and Blooma Enterprise above that line, where portfolio monitoring and dedicated support come in.

Where Cap Orbit wins

Build the model and memo. Edit them together.

Read the offering memo, rent roll, T-12, and loan agreement together. Fill your Excel workbook, draft the Word memo in your format, create the deck, and assemble the PDF. One instruction can carry the work through, with your analyst approving consequential steps.

Extract the rent roll unit by unit and reconcile it with source totals. Fill your own Excel model with live formulas, switch scenarios, and test exit cap and NOI sensitivities. Underwriters and credit officers edit together in Cap Orbit, with each other’s cursors in view. The workbook opens cleanly in Excel.

The credit work is native, not a courtesy to the debt side. Debt sizes to the binding constraint, the lesser of the LTV, LTC, DSCR, and debt-yield tests, against the caps the firm sets: for example a 65% maximum LTV, a 70% maximum LTC, a 1.25x minimum DSCR, and an 8% minimum debt yield, with year-by-year coverage and breakeven occupancy. The credit memo writes the lender case downside-first: borrower, facility, rate, term, LTV, DSCR, debt yield, then the downside. The outline is approved section by section before a word is drafted, and every figure comes from the model or a cited document. The memo opens for markup, with the team’s comments beside it.

And the work carries past the wire. The closing checklist tracks every condition to close, with an owner, a date, and a status on each. Closing reconciles the settlement statement against the contract, the loan, and the underwrite, and writes the trued-up basis back into the model. Through the hold, the asset-management trackers close each period against the original underwrite. Covenant standing is read from the loan agreement and its amendments, each test cited to its section and run on the covenant’s own stated basis, with cushions, trips, consequences, and cure paths laid out. It is an internal read for the team, not a certificate to the lender, and it says so plainly.

The boundary

Keep each tool’s scope clear.

Blooma is clear about what it is not: by its own positioning it is an insights engine, not an origination system, a relationship system, or a data provider. Its materials describe a data aggregation and analysis layer rather than a spreadsheet or modeling application, and nothing public describes drafting an IC or credit memo, abstracting a closing, or tracking a budget against the original underwrite through the hold. The screen ends where the write-up begins.

Cap Orbit builds the underwrite, memo, and record from the deal’s documents. Your team edits the files in place. Keep your origination and relationship systems alongside it. Covenant results are an internal read, and your team owns approve or decline.

Start by deciding whether you need help screening the queue or building the underwrite.

Who picks which

Pick by the job, not the category.

If you run origination operations at a bank, credit union, or insurance lender, and the bottleneck is inbound volume, screening consistency, and watching the book, look at Blooma. It was built for that seat, it layers onto the systems your team already runs, and the investment-team work this page describes is not what you would be buying.

Credit and equity teams use Cap Orbit to build the model and memo, then track the position through ownership. Edit the sourced workbook, review the downside case, and check covenant standing. Approve or decline remains your decision.