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AI Engineering for Acquisitions

We automate due diligence document review, underwriting model inputs, and deal pipeline tracking — built and operated for you.

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What We Automate

We don't know every problem in your operation. You do. These are the types of work we engineer AI for. You tell us where it hurts most.

Data Entry Automation

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Your team re-types data from one system to another. We eliminate that.

rent rolls operating statements property data

Report & Document Drafting

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Investment memos and DD summaries drafted from extracted property data automatically.

investment memos DD summaries market comparables

Risk & Anomaly Detection

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Red flags in DD documents and financial discrepancies caught before closing.

lease discrepancies environmental flags title issues

Report & Dashboard Consolidation

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Deal pipeline and underwriting comparisons consolidated into one view.

deal pipeline underwriting comps closing checklists

Incoming Request Processing

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DD documents from data rooms read, classified, and organized automatically.

data room docs broker packages title documents

Quote & Proposal Generation

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LOIs and term sheets generated from underwriting models and deal parameters.

LOIs term sheets financing proposals
See How We Work →
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Common Questions About AI for Real Estate Acquisitions

How do we start?
We start with a 2-week AI Roadmap. Our engineers spend time inside your acquisitions operation — watching your team review due diligence documents, mapping your underwriting flows, measuring your deal volumes. The output is a ranked list of workflows by ROI, with implementation timelines and expected savings. No commitment to build beyond the roadmap.
What does my team do differently on day 1?
Almost nothing. The first workflow runs alongside your existing process — AI reviews DD documents in parallel while your team works normally. Once accuracy is validated (typically 2-3 weeks), we switch over. Your team starts reviewing AI-extracted data instead of reading every document manually. The transition is gradual, not a big bang.
How does this work with our deal management systems?
We build on top of your existing systems. We integrate with Juniper Square, DealPath, and every major real estate deal management platform. The AI layer connects your data rooms, financial models, and CRM. Your IT team keeps managing infrastructure. We build the automation that sits between your systems.
What about deal confidentiality?
Every workflow we build respects deal confidentiality. For due diligence, the AI processes documents within your secure environment — your acquisitions team controls access. We maintain strict data segregation between deals and audit trails for every automated extraction. The AI never shares data between deals or parties.
How do we measure success?
We define success metrics with you before building anything. Typical metrics: due diligence review time, underwriting model input speed, deal pipeline tracking accuracy, and time-to-close. We set up dashboards that show before/after in real-time. If the numbers don't improve within 90 days, we fix it on our dime.
What's the total cost for year 1?
Two options. Per Workflow: $25K-$75K per workflow, best for starting with one high-impact process like DD document review or underwriting data extraction. Dedicated Team: ~$22K/month for 2+ AI engineers embedded in your operation, building multiple workflows continuously. Most acquisitions teams start with one workflow, prove the ROI, then move to a dedicated team.

Your deal flow is too fast for manual due diligence.

Book a free 30-minute AI Assessment. We'll map your highest-volume acquisitions workflows and show you the 3 processes with the highest ROI.

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