AI Dev Team for Commercial Real Estate Underwriting & Leasing

Turn a Bulky OM Into an Argus-Ready Model Before Your Next LOI Deadline

Commercial real estate teams still burn analyst hours retyping rent rolls and offering memorandums into Argus and Excel, chasing CAM and escalation clauses buried in PDF leases, and manually cross-referencing CoStar or Reonomy pulls before a broker ever picks up the phone. A Build Pod embeds with your underwriting and brokerage workflow, wires the extraction and abstraction steps directly into Argus, Yardi, or VTS, and keeps your CRM current without adding headcount.

What we build for Commercial Real Estate

Automate rent roll and OM extraction into Argus underwriting models

Pull tenant, rent, and expense data straight from PDF rent rolls and offering memorandums into Argus or Excel, so analysts start from a populated model instead of a blank one.

Flag CAM, option, and escalation clauses during lease abstraction

Abstract new and renewal leases automatically, flagging CAM reconciliation terms, renewal options, and escalation clauses for review before they're pushed into Yardi or VTS.

Enrich the deal pipeline with CoStar and Reonomy data

Pull comps, ownership, and contact data from CoStar or Reonomy for target properties and auto-draft the first broker outreach email in HubSpot.

How a Build Pod fits

A Build Pod for commercial real estate starts by mapping where your underwriting and leasing teams actually lose hours — usually retyping rent rolls into Argus, chasing down lease clauses buried in scanned PDFs, or manually updating the CRM after a CoStar pull. We ship the first working tool against that specific bottleneck within the first few weeks, wired directly into the systems your team already opens every day: Argus, Yardi, VTS, CoStar, Reonomy, HubSpot.

From there the pod keeps building alongside your deal flow — new property types, new lease formats, new reporting requests from LPs or asset managers — without you having to file a change order or wait on a vendor's roadmap. You keep the tools, the data stays in your stack, and the pod scales up or down with your pipeline.

Frequently asked questions

What's the best AI approach for a CRE team already running Argus, CoStar, and Yardi?

The strongest results come from wiring automation directly into the tools your team already uses rather than adding a separate AI platform — a Build Pod builds extraction and abstraction steps into your existing Argus, CoStar, and Yardi workflow.

Do you replace our existing CRE software, or integrate with it?

We integrate. The pod builds on top of Argus, Yardi, VTS, CoStar, and Reonomy rather than asking your team to learn a new system or migrate data.

How long before we see a working rent roll or lease abstraction tool?

You'll see a working version against your actual documents early on, then iterate with the pod as edge cases in your portfolio come up.