About
Built by acquisition professionals, for acquisition professionals
Built by people who have sat in the seat: institutional acquisitions on one side, software on the other. The teams we came from spent more of the week preparing data than exercising judgment. DealPulse is the platform we wanted then.
Origin
Why DealPulse exists
Every acquisition team's day starts the same way. A broker sends an OM, somebody opens Excel, and the next two hours go to copy-pasting financials. DealPulse exists because we got tired of that being the default.
The loop underneath is always the same: source deals, extract financials, build a model, decide. What separates good teams from great ones is judgment — which assumptions to stress, which markets are turning, which broker relationships to deepen. None of it requires retyping line items from a PDF.
Yet that is where the hours go. Analysts transcribe financials by hand. VPs compile market data from half a dozen tabs. Principals walk into meetings without current context on the broker across the table. The bottleneck is never the investment thesis; it is the preparation that has to happen before the analysis can start.
Existing software asked teams to choose between two bad options: stay in spreadsheets and accept scattered files, duplicated effort and no shared pipeline, or adopt a platform that replaces the model with a black box nobody can audit. Neither option respected how acquisition teams actually work.
DealPulse starts from a different premise. The underwriting model a team has refined over years of closed deals is an asset, not an obstacle. The right platform does not replace that model; it feeds it, with structured and verified data that lands in the environment the team already works in.
That premise shapes every product decision. DealPulse extracts and classifies financial data so analysts review and confirm rather than transcribe. It aggregates listings so teams see the market without reconciling broker sites one at a time. It tracks broker relationships so nobody walks into a meeting cold.
Principles
Remove friction from real estate acquisitions.
- Time
- Investment teams should spend their time on sourcing, underwriting and closing, not on data entry.
- Judgment
- AI should augment professional judgment, not replace it.
- Workload
- Software should take work out of the week rather than add to it.
Where this goes
The operating system for real estate private equity.
Institutional-grade tools should not be gated behind headcount. The discipline an acquisitions team brings to a deal does not scale with the size of the letterhead.
Talk to us
In private beta with institutional multifamily acquisitions teams.
Each is hardening the platform against real broker feeds, real operating statements and real underwriting models, not synthetic data. Tell us how your team works and we will show you where DealPulse fits.