Table of Contents

  • Catch the rent change a spreadsheet misses.
  • Read the books.
  • Check the agreement.
  • Act on the difference.
  • A warehouse you can use. Or one you can keep.
  • Use Leni’s prebuilt warehouse.
  • Connect your existing warehouse.
  • Start where your data lives.
  • Yardi and Entrata
  • Leases and loan files
  • AI assistants and apps
  • What your team controls.
  • Their data. Their reporting rules.
  • Bring one portfolio question.
Real estate data infrastructure

A real estate data warehouse for your AI.

Bring property financials, rent rolls and lease documents together. Use them in Claude, ChatGPT or your own apps, with your definitions and permissions.

Portfolio reviewSample · June close
Does the rent roll match the signed lease?
Signed amendmentSuite 204 · §3 · effective June 1
$4,250
June rent rollSuite 204 · monthly base rent
$4,000
$250 monthly differenceFlag for the asset manager to review.
One question, two sources

Catch the rent change a spreadsheet misses.

01 · Structured records

Read the books.

Bring in the approved rent roll, ledger or manager workbook. Match the property, suite and reporting period.

02 · Unstructured documents

Check the agreement.

Read the rent and effective date in the signed amendment. Keep the clause alongside the extracted terms.

03 · Review

Act on the difference.

See both sources before deciding whether billing needs a correction. Your team approves the next step.

Two ways to start

A warehouse you can use. Or one you can keep.

Start with one portfolio question. Keep the systems that already run your business.

Use Leni’s prebuilt warehouse.

We map approved property and finance data to one real estate model. Compare assets across managers using your definitions.

Connect your existing warehouse.

Keep your data platform. Add property-level access, company definitions and links to source documents so your AI can work with it.

From source to answer

Start where your data lives.

Property systems

Yardi and Entrata

Use authorized Yardi exports or an approved Entrata connection. Agree on the properties, fields, history and refresh schedule.

Yardi guide →   Entrata guide →
Portfolio documents

Leases and loan files

Extract the terms that drive a decision. Keep the source reference so reviewers can go back to the evidence.

Document extraction →
Your tools

AI assistants and apps

Use MCP to connect a compatible assistant under the user’s permissions, or use the API for your own application.

MCP documentation ↗
Before you connect

What your team controls.

What gets stored?
We agree which records to map, which document fields to extract and which evidence to reference at source. Your property and accounting systems remain authoritative.
Who can see the data?
Each user works within their authorized organization and property scope. Connecting an assistant does not grant it access to the rest of the portfolio.
Who keeps the numbers consistent?
Leni maps supported sources. Your team approves definitions such as occupancy and NOI, and decides how exceptions should be resolved.
How does implementation work?
Choose one property, one closed period and a question you can reconcile. We scope history, refresh cadence, cost and ongoing support around that test.
Customer story · Friedman Real Estate

Their data. Their reporting rules.

Friedman built reporting workflows on Leni using its own company data, definitions and review steps. The team decides what each report needs to show and who checks it.

Bring one portfolio question.

Talk through your data sources ↗