Skip to main content
RealQuant Labs

AI transformation for Real Estate Private Equity:Make your firm AI-native.

We build and run the data platform and AI workflows behind your fund, in your Azure tenant.

See case studies
We build onClaudeDatabricksMicrosoft Azure

Works with the systems you run today: Excel, Yardi, MRI and SharePoint.

Illustrative demo. Properties and figures are invented.

Our principals have worked with firms managing billions in AUM

  • Blackstone
  • TPG Angelo Gordon
  • Ares
  • J.P. Morgan
  • Andover Properties
  • Round Hill Capital
  • A&E Real Estate
  • Delin Property

Includes firms our founding team worked with before RealQuant Labs.

Workflows

From first OM to final LP package.

Properties and figures shown are illustrative.

Workflows

From first OM to final LP package.

01

Acquisitions

The OM, rent roll and T-12 flow into your underwriting model and a draft IC memo, with figures cited to the page. Your analyst approves.

02

Asset management

Variance to budget and draft commentary for every property each month, cited to Yardi, MRI or RealPage.

03

Fund reporting

The quarterly LP package and waterfall from one fund model that ties to the administrator NAV.

Properties and figures shown are illustrative.

Track record

$2M+

Operational savings (est.)

3K+

Analyst hours saved (est.)

5x

Property growth with flat headcount

150+

CRE transactions supported

Figures combine RealQuant Labs engagements and our founder's prior operating roles. Savings and hours are internal estimates.

Case studies

Results on three real estate platforms.

$10B pan-European fund

Weeks to days

Reporting

Quarterly reporting across five jurisdictions, in days.

One model handles the holding structure, two currencies and every LP package.

$10B AUM · 5 jurisdictions · FX automated

Read the case study

$3B NYC multifamily platform

Days to hours

IC packages

IC packages assembled in hours, with unit-level returns.

MCI and IAI models for rent-regulated housing, built into every IC package.

$3B AUM · Unit-level models · Fund reconciliation automated

Read the case study

Blackstone-backed self-storage platform

5x growth

Same team

From 36 to 180 properties on the same operations team.

Pipeline, underwriting, P&L and reporting moved onto one data platform.

Work performed by our founder in a prior operating role.

180 properties · $2.8B AUM · Headcount flat

Read the case study
All case studies

How we build

We build the foundation first.

Answers trace back through these layers to source documents.

  1. Data sources

    Start with the systems you already run.

    Yardi, MRI, RealPage, administrator packages, OMs, rent rolls and T-12s. Your systems stay where they are.

  2. Ingestion and parsing

    OM and rent roll figures cited to the page.

    Exports and APIs bring data in daily. Documents are read with page-level citations.

  3. Governed warehouse

    One definition for every property and fund.

    One Databricks lakehouse in your Azure tenant. Every property, lease and fund on one definition.

  4. AI agents and models

    Code runs the math and a person approves.

    Code runs the underwriting, variance and waterfall math. Claude reads, drafts and cites. A person approves.

  5. Your team

    Every new workflow builds on the same base.

    Answers land in Excel, custom apps, IC memos and LP reports.

We build it in your tenant and run it with your team.

See how a Build runs

Engagement and pricing

Start with a fixed-fee Diagnostic.

  1. Step 01

    Diagnostic

    We interview each team, map your systems and data, and set a connect, buy or build plan for each workflow.

    Timing: 6-8 weeks
    Billing: Fixed fee
    Fee: $25K-$50K+
    How Diagnostic works
  2. Step 02

    Build

    Your first workflow in daily use, tied out to your source files.

    Timing: First workflow live in 90 days (target)
    Billing: Set fee for the foundation and first workflow, billed at milestones
    Fee: $75K-$350K+
    How Build works
  3. Step 03

    Scale

    Add workflows for more funds and teams on the data foundation you already have.

    Timing: Set in each SOW
    Billing: Time and materials, scoped in its own SOW
    Scope: Reuses your data foundation
    How Build and Scale work
  4. Step 04

    Operate

    Optional. Named engineers keep every workflow running and current as your sources change.

    Timing: 12-month agreement
    Billing: Billed monthly
    Fee: $20K-$60K+/month
    How Operate works

Ranges and timelines are estimates. Final scope, fees and dates are set in a signed statement of work.

Most firms start with the Diagnostic.

Zachary Shapiro, founder of RealQuant Labs

Founder

Zachary Shapiro

I spent 12+ years in institutional real estate private equity, at platforms backed by Blackstone, Ares and Angelo Gordon. I worked on 150+ deals worth $11.2B across multifamily, self-storage, industrial, office and mixed-use. At every firm I built the models and data systems.

RealQuant Labs is the firm I wished existed.

Connect on LinkedIn
  • Operator builtWe have run the acquisitions and reporting seats we automate.
  • Built from live dealsOM and rent roll parsing, IC memo drafts, variance attribution, capital calls and LP reporting.
  • Code does the mathWaterfalls, IRR and variance run in code your team can re-run.
  • Yours to runYou own your data, your outputs and the code we write for your firm. Our framework is licensed to you for use in your business, so your team or another firm can run it.

Frequently asked questions

The Diagnostic is a fixed fee. The Build is a set fee for the data foundation and first workflow. Each workflow after that is time and materials, scoped in its own SOW. Operate, the optional managed service, is billed monthly. Ranges are on the pricing page.

The Diagnostic takes 6-8 weeks. We target the first workflow live within 90 days of the Build starting. Your SOW sets the dates.

No. Waterfalls, debt sizing, IRR and variance run in tested code your team can re-run. Claude reads the documents and links extracted figures to the page or cell they came from.

Your data platform runs in your Azure tenant. You own your data, your outputs and the code we write for you. Our framework is licensed to you for use in your business. Models run under terms that exclude training on your data. See security and data.

No. We connect and extend the systems you run today. Where a vendor already does the job well, such as licensed rent data, we say so. We build custom where nothing fits.

Still have questions? Email labs@realquant.ai

Find your first workflow.

Bring one workflow. In 30 minutes with the founder, we will show you where to start.

Prefer to write?Send one workflow.

Describe the report or process, the systems involved and how long it takes today.