AI lease abstraction
AI lease abstraction built for real estate acquisitions.
After a property or portfolio is acquired, teams spend weeks manually reading leases, re-keying terms, and checking them against the rent roll. Onduct automates the first pass of that work and keeps your team in control of the final call.
What is AI lease abstraction?
Lease abstraction is the process of turning long lease documents into a structured summary of key terms. Onduct applies AI to extract those terms at portfolio scale, then goes a step further: it reconciles them against rent rolls and flags every mismatch for human review instead of guessing.
How Onduct works
- 01
Upload
Drop in the acquisition data room: leases, rent rolls, contracts, and financials.
- 02
Extract
AI reads each lease and pulls structured fields such as tenant, unit, rent, term, and deposits.
- 03
Reconcile
Lease terms are compared against the rent roll, and discrepancies are flagged as exceptions.
- 04
Validate
Every value links back to its source document, page, and confidence so reviewers can verify it.
- 05
Export
Clean, migration-ready data is prepared for property-management systems.
Why it beats manual abstraction
- Let AI handle the repetitive 80–90% so experienced teams focus on judgment.
- Real estate-specific validation rules catch lease and rent-roll discrepancies.
- Source, page, and confidence evidence behind every extracted value.
- Designed to connect with Yardi, AppFolio, Entrata, RealPage, MRI, and Buildium.
Pilot AI lease abstraction with Onduct.
We're inviting pilot customers, industry advisors, strategic partners, and early investors into the first generation of Onduct.
Join the waitlist