Enterprise AI for Commercial Real Estate & PropTech

On standard commercial leases; office, retail, industrial; well-trained AI extracts most fields at accuracy rates that match or exceed a first-pass human review. The difference is that AI is consistent: it applies the same extraction logic every time, on every document, without fatigue. Where it earns its keep most is not in replacing legal judgment on ambiguous clauses, but in handling the 80% of extraction work that doesn't require judgment; dates, amounts, tenant names, notice requirements, renewal options. Your attorney reviews the AI's output rather than starting from scratch. We tune the system on your actual lease portfolio during implementation, so accuracy reflects your specific lease formats, not a generic benchmark.

Yes. We integrate directly with Yardi Voyager, AppFolio, MRI, and RealPage via their APIs rather than requiring you to export or migrate data. The portfolio intelligence layer pulls from your existing system of record; it doesn't replace it. For document management, we connect to whatever you're using, whether that's a dedicated DMS, SharePoint, or a folder structure on a shared drive. We assess integration complexity during the discovery call and are upfront about what's straightforward versus what takes more work.

Most commonly mid-market owners and operators; firms managing 50 to 500 properties across office, industrial, retail, or multifamily; where the team is large enough to have a real document and data problem but not large enough to have a dedicated data engineering team to solve it. We also work with investment managers and acquisition teams where deal speed matters, and with PropTech companies building AI-powered products for the CRE market. If you're a single-property owner, the investment probably doesn't make sense yet; we'll tell you that on the first call.

Lease documents and tenant data are some of the most sensitive commercial data a firm holds, and we treat them accordingly. We build with end-to-end encryption, role-based access controls so only authorised users can query or view specific properties, and full audit logging so you can trace who accessed what and when. We sign NDAs before the project starts and can structure the architecture so documents never leave your cloud environment; the AI model queries your data in place rather than pulling it to a third-party platform. SOC 2 Type II and GDPR/CCPA compliance are built into the system from day one.

Four to five months to production. Most CRE engagements run $60,000 to $140,000 depending on scope; a lease abstraction system for a single document type is at the lower end, a full portfolio intelligence layer with tenant communication AI and Yardi integration is toward the upper end. We quote a fixed price after the discovery call, so you know the total before we start and it doesn't change. ROI projections come as part of the discovery deliverable, built on your actual lease volume, team hours, and current process costs.

No data science team and no AI expertise required. The systems we deliver are built to be managed by your existing property management or IT team, with admin dashboards that don't require engineering knowledge to operate. At handoff you receive the full codebase, documentation, and training so your team can manage, monitor, and extend the system independently. When you add new lease templates or property types, we build the retraining process into the system so it doesn't require our involvement. Retainer support is available if you want it for ongoing feature additions; but you're never locked in.