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Dealpath Alternatives for CRE Teams That Need More Than Pipeline

Last reviewed June 2026

Dealpath is the pipeline of record for much of the institutional buy side, and most teams shopping for an alternative are not unhappy with the pipeline. They are unhappy with what happens after a deal enters it: the model still gets built by hand, the memo still gets written by hand, and implementation runs 6 to 16 weeks. Here are five alternatives, sorted by the job each one actually does.

Cap Orbit

that’s us

The AI execution team for institutional CRE: it reads across every document on the deal at once and comes back with the work, the model built, the memo drafted, the closing reconciled, the hold tracked, all in the firm’s own formats.

Best for: Investment teams whose bottleneck is not seeing the pipeline but doing the work inside it: the underwrite, the IC memo, the closing reconciliation, and the hold-period record.

Strengths

Hands back finished work product, not answers: one instruction reads the documents, normalizes the statement, builds the model, and stages the memo end to end, creating and editing real Excel, Word, PowerPoint, and PDF files on the deal, with the analyst approving each consequential step.
Builds the workbook Dealpath stores: a real Excel model with live formulas and no hardcodes, built to an institutional standard per asset class, with Base, Upside, and Downside scenarios priced off one switch and recalculation checks run before delivery.
Writes the prose, not just the fields: screening, IC, and credit memos drafted in the firm’s house voice, every figure pulled from the model’s computed cells or footnoted to a cited document, and for IC and credit memos the outline is approved section by section before a word is drafted.
Carries the deal past the signature: the settlement statement reconciled against contract, loan, and underwrite with the trued-up going-in basis written back into the model, then each reporting period closed against budget and the original underwrite on a record that only adds and never overwrites.

Trade-offs

Market data is the deal folder, not a feed: drop whatever arrived, the broker materials, the lender PDFs, the scanned pages, the spreadsheets, and it reads all of it. There is no third-party comps or listings subscription, so teams that lean on Dealpath’s listing flow keep that elsewhere.
Not a pipeline system of record. There is no contact management, broker relationship tracking, or deal-flow funnel, so it does not replace the coordination job Dealpath does.
Pricing is two tiers: Pro for funds of up to 50 people, up and running on live deals within 24 hours, and Enterprise, deployed into the firm’s own cloud account with single sign-on and encryption keys the firm holds. There is no rate card and no self-serve signup.

Altrio

A deal data layer covering sourcing, screening, and pipeline, with an open connection that points the AI assistant the firm already uses at its own deal data and underwriting history.

Best for: Firms that want sourcing, screening, and deal history in one place and prefer to bring their own AI assistant rather than buy another one.

Strengths

Covers the acquisition funnel: deal sourcing, pipeline management, data extraction from offering memos, comps, and portfolio tracking, with a CBRE partnership feeding deal flow.
In May 2026 it opened the firm’s own deal data and underwriting history to Claude, ChatGPT, or whichever AI assistant the team already runs, so the assistant answers from the firm’s record rather than from scratch.
The vendor cites an institutional customer base and concrete screening gains, 2.5 times more deals screened and a 35% reduction in underwriting time, by its own numbers.

Trade-offs

The assistant does the analysis; Altrio supplies the data. Nothing in their public materials describes building the underwriting workbook or drafting the memo itself.
In January 2026 it widened into a single product serving brokers and investors together, a broader remit than a buy-side execution team.
Public detail is thinner than the incumbents’: pricing, implementation, and per-workflow depth are not laid out in the materials we reviewed, so more of the diligence sits with the buyer.

Intapp Properties

TermSheet’s CRE deal management, acquired by Intapp in April 2025 and rebranded, now sold as a real-assets suite with DealCloud’s relationship management behind it.

Best for: Enterprises that want deal management, relationship management, and portfolio rollups in one suite from a large public vendor.

Strengths

Deal evaluation carried over from TermSheet: AI-driven parsing of offering memos, mapping, and Excel integration.
Reaches past the pursuit into execution and reporting: automated scheduling and cost tracking, plus portfolio intelligence that consolidates financials from Yardi, MRI, and RealPage.
Enterprise weight: Intapp is a public company at billion-dollar scale, DealCloud supplies the relationship spine, and named customers include Lincoln Property Company and Postal Realty Trust.

Trade-offs

The pitch is breadth, not depth in the underwrite: nothing in their public materials describes building institutional models or writing narrative memos in the firm’s voice.
It is a suite sale with the relationship system at the center; a team that wants one sharp tool for execution work is buying more surface than the job needs.
The combined product is young in its current form: acquired in April 2025 and rebranded since, so buyers are evaluating a suite assembled from two companies within the last year and a half.

Northspyre

A development management platform first, covering budgets, vendors, and draws through the build, with a deal pipeline and modeling module added in January 2026.

Best for: Developer-operators who want the pursuit and the build period on one platform, from sourcing through stabilization.

Strengths

The build period is the depth: budget and cost control with a claimed 66% reduction in cost overruns, AI review of vendor bids that flags scope gaps, and draw requests the vendor says come together 75% faster.
Northspyre Deal adds pipeline tracking, back-of-envelope and pro forma modeling, waterfall and sensitivity analysis, due-diligence tracking, and an auto-generated investment deck for committee review.
Capital partners get their own window: a funding portal with current and historical draw information, lender and investor reporting, and accounting connections to Yardi, Sage Intacct, and QuickBooks.

Trade-offs

Built for developers, not investment managers. Its own scope reads acquisition through stabilization, and the vendor itself places fund accounting, LP distributions, and stabilized-asset management outside its category.
Nothing in their public materials describes parsing a rent roll or normalizing a T-12 from the documents a broker actually sends; the modeling appears to take typed inputs.
The investment memo is an auto-generated deck, not a narrative memo in the firm’s templates, and no debt-side underwriting (loan sizing, covenant testing) is described.

Archer

A multifamily screening engine: rent roll and T-12 parsed in seconds, comps attached, and a populated Excel model in roughly fifteen minutes from an address.

Best for: Multifamily acquisitions teams, brokers, and lenders screening at volume who want a populated workbook fast.

Strengths

Parsing speed: rent rolls and T-12s parsed in-app in under a minute, with fewer than five manual adjustments on average before the data lands in a model.
Works inside the firm’s own Excel: parsed financials, rent and expense comps, and analytics push into the firm’s existing model, or into Archer’s pre-built multifamily model with dual loan structures, renovation scheduling, and a four-tier waterfall.
Comp depth from more than 150,000 comparable properties, with lease trade-out and period-over-period variance reports generated automatically on upload.

Trade-offs

Multifamily is the deep lane. Other property types were added for market research, and full underwriting depth outside multifamily is not documented.
It stops at the populated model: a one-page committee-ready output tab, but no narrative memo, no closing reconciliation, and no documented tracking of the hold against the original underwrite.
A shared service with a custom quote: no dedicated per-firm deployment is documented, and pricing is an annual platform fee plus a usage-based, per-deal, or flat scaling model.

The incumbent

The pipeline of record, and the work still done by hand.

The facts first. Dealpath is the pipeline platform of the institutional buy side: more than 300 clients, over $10 trillion in transactions run through it, and a private listing exchange covering roughly 65% of institutional listings through partnerships with JLL, LaSalle, and CBRE. The May 2026 Dealpath AI release added comps ranked from the firm’s own deal records and MSCI Real Capital Analytics, expanded screening that turns broker materials into a tear sheet, and an Excel assistant that connects firm data to the spreadsheet work analysts still do by hand.

The teams shopping this page are mostly not leaving the pipeline. They are reading Dealpath’s own boundaries: a system that stores models it cannot build and fills templates it cannot write. The platform states plainly that it does not directly support model creation or manipulation; it stores and compares the workbooks analysts build elsewhere. The Word add-in populates pre-built templates with deal data, and the narrative of the IC memo stays the analyst’s to write. The AI screening produces a tear sheet, not a quantified light underwrite, and third-party analysts land in the same place: best for pipeline tracking, not model population.

Then there is the on-ramp. Implementation runs 6 to 16 weeks with a professional services engagement, and the floor is five seats. For a team whose actual constraint is the underwrite, that is a long wait for a system that will hand the model and the memo straight back.

The frame

Pipeline coordination is one job. Deal execution is another.

Most lists of Dealpath alternatives line up other pipeline trackers, which misses why teams go looking in the first place. The useful frame is the job. Coordination is who has the deal, what stage it sits in, and what is due. Execution is the extract, the model, the memo, and the reconciliation. Dealpath is built for the first and explicit about not doing the second. The five products on this page each answer that gap differently, and they are not interchangeable.

Match the archetype to the missing job before comparing features inside it. A developer weighing Cap Orbit against Northspyre is asking the wrong question, and so is an acquisitions team weighing Archer against Intapp Properties.

The execution team (Cap Orbit): reads every file on the deal and does the work itself, from a source-traced extract through the model, the memo, the closing, and the hold.
The deal data layer (Altrio): keeps sourcing, screening, and deal history in one place and hands it to the AI assistant the firm already uses.
The enterprise suite (Intapp Properties): deal management and relationship management bought together from a large public vendor.
The developer platform (Northspyre): pipeline plus the build period, for teams whose deals end in draw requests rather than settlement statements.
The multifamily screener (Archer): parsing and comps that turn an address and broker materials into a populated model in minutes.

The buyer’s read

Where Dealpath still wins, and how to choose.

If the question is pure pipeline visibility, Dealpath still leads this list. Nothing here replicates the listing flow of Dealpath Connect or its IC approval routing, and a team whose pain is coordination should stay, negotiate, and skip this page’s premise entirely.

The case for moving, or for pairing, starts when the pain is the work product. If the team drowns in multifamily broker materials, Archer screens at volume and lands a populated model in minutes. If the firm wants its own deal history under the assistant it already pays for, Altrio is built for exactly that handoff. If procurement wants one vendor for deals and relationships, Intapp Properties is the consolidated buy. If the deals end in construction draws, Northspyre owns the build period. And if the gap is the work itself, the extract, the model, the memo, the closing, the hold, that is the job Cap Orbit was built around.

Cap Orbit is also the one entry here that does not compete with Dealpath’s core job at all. It keeps no funnel and tracks no broker relationships. What it takes off the team is the part Dealpath hands back, and it takes it the way a team assigns a defined workstream: one instruction reads across every file on the deal at once, the offering memo, the rent roll buried in a workbook tab, the T-12, the executed agreements, and returns the model, memo, and record. The model is a real Excel workbook with live formulas that ties out. The memo reads like the house wrote it. The closing reconciles to the contract and the loan, and the hold is tracked against the underwrite on a record that never overwrites itself. The analyst approves each consequential step, and the investment decision stays with the team.

Common questions

Do any of these replace Dealpath outright?

Only if pipeline coordination was never the part you valued. Altrio and Intapp Properties both cover pipeline and deal management and could stand in as the system of record; Archer tracks deals through stages for a multifamily team. None of them replicate the listing flow of Dealpath Connect. Cap Orbit keeps no funnel and no contact records; it pairs with a pipeline system rather than replacing one.

Can Cap Orbit run alongside a pipeline system like Dealpath?

Yes, because they touch different work. Drop whatever the deal generates onto Cap Orbit, the broker materials, the lender PDFs, the scanned pages, the spreadsheets, exactly like a real deal folder, and it reads all of it at once and produces the model, the memos, the closing reconciliation, and the hold-period record. There is no pipeline to migrate and no funnel to rebuild; the coordination layer stays where it is and the execution work moves onto the team.

What does Dealpath’s own AI actually do?

It reads documents and serves data; it does not do the work. Extraction pulls 90 or more listing and property fields from an offering memo in under a minute at a claimed 95% accuracy, screening turns deal documents into a tear sheet, and comps come ranked from the firm’s own deal records and MSCI Real Capital Analytics. What it does not do, by Dealpath’s own account, is build or change the model, and the memo narrative is still the analyst’s to write.

How is Cap Orbit priced?

Two tiers. Pro is the managed tier for funds and deal teams of up to 50 people, each firm isolated on its own dedicated resources and up and running on live deals within 24 hours. Enterprise deploys the same platform into the firm’s own cloud account, with single sign-on and encryption keys the firm holds, built against the firm’s security review. The evaluation for either is a working session on one of your live deals, run end to end in your own formats.

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