Real Estate

Property acquisition due diligence automation

Parse data room documents, flag legal and financial risks, and generate structured due diligence summaries in hours, not weeks.

The challenge

Data room review for acquisitions takes weeks of analyst and legal time. Legal and financial risks hide in long documents, teams scramble before exclusivity expires, and bids are placed with incomplete information, or exclusivity is lost to faster competitors.

How Lunnoa runs it

  1. 1

    Ingest

    Pull the documents, events, or system records that start this process.

  2. 2

    Analyse

    Agents parse every document in the data room, flag red flags against your DD playbook (title issues, environmental risk, tenant covenant strength, lease weaknesses), and produce a structured DD summary with citations back to the source documents.

  3. 3

    Decide or escalate

    Clear cases continue under policy; exceptions go to a person with a structured pack.

  4. 4

    Write back and prove

    Update systems of record and keep an attributable trail for review.

Systems touched

  • data room
  • SharePoint
  • DD playbook
  • deal CRM

In the product

Step-by-step agent behaviour

Pull the documents, events, or system records that start this process.

Outcomes

  • DD cycle compressed from weeks to hours
  • Higher-confidence bids, backed by complete analysis
  • Consistent DD quality across every deal
  • Faster exclusivity-to-close conversion

Für Teams, die Infrastruktur bereits ernst nehmen.

  • CTOs und Platform-Teams, die die Passung zur eigenen Referenzarchitektur prüfen
  • Security und Compliance mit Fokus auf Datenresidenz und Zugriffskontrolle
  • Operations-Teams, die nachvollziehbare Läufe brauchen, keine Black-Box-Automatisierung
  • Builder, die unbegrenzte Nutzung unter einer Pauschallizenz wollen