AI agents for institutional real estate
From the deal room to the LP inbox, Prestyj builds and runs AI agents that deliver finished work. Source attached. Your team in control.
What needs our attention before this goes to IC?
Acquisition brief · Illustrative property
Near-term rollover is concentrated in two tenants. Confirm renewal assumptions before circulating the investment brief.
The offering memo lists 94% occupancy. The rent roll supports 91.4%. Reconcile the difference before release.
Built for the people
behind the portfolio.
The work, not another workspace
Your team knows the next decision. We take on the recurring work that stands between here and there.
Turn the data room into a diligence brief, lease abstract, or IC draft. Keep the evidence connected to every material finding.
Diligence brief · Lease abstract · IC materials
Explore deal diligencePrepare investor responses and reporting packages from the underlying records. Bring exceptions to the reviewer, not into the final answer.
Investor response · Quarterly package · Exception log
Explore investor reportingAnswer the inquiry, capture the requirement, and hand the broker the context. Your routing rules determine what happens next.
Qualified inquiry · Transcript · Broker handoff
Explore originationBuilt around your judgment
AI should make your firm more capable, not harder to oversee. Every workflow starts with its sources, boundaries, and review rules.
Inside the operating modelThe ledger, property platform, CRM, and document room remain the source of record.
Sources, effective dates, and unresolved differences travel with the work.
A named reviewer owns what reaches the committee, the investor, or the market.
Selected work
Architectural illustration · AI-generatedReal estate investment fund / In production
Multi-currency NAV, performance, and an investor portal, replacing a decade-old system through a staged route-by-route cutover.
Anonymized project. Client identity and internal records are not published.
See the delivery recordExplore our AI voice demo for brokerage inquiries. Microphone access starts only when you choose to begin.
Before we get to work
The practical details of putting AI to work inside your firm.
Prestyj builds and runs AI agents that complete defined work inside an institutional real estate firm: diligence, quarter-end support, waterfall explanation, investor reporting, portfolio questions, origination coverage, and listing materials. You receive the reviewed work product, not a generic chatbot or seat license.
Real estate investment funds from roughly $500M AUM, commercial brokerages, and CRE owner-operators. The common trait is operating complexity large enough that recurring work now spans multiple systems, teams, and review gates.
No. Your ledger, property platform, VDR, CRM, and document systems remain authoritative. Prestyj sits above them, performs the defined work, preserves source lineage, and routes material conflicts to the person responsible for resolving them.
Deployment boundaries are scoped per engagement. The systems we build enforce tenant, fund, client, and investor access below the interface, with access denied by default. We document the data flow and hosting model before any production record moves.
Material answers retain the source and effective date behind them. When sources disagree, the conflict enters a review queue rather than being silently averaged. Anything released to an investor, committee, or market has a named human owner.
Prestyj is built to work with the systems an engagement requires, but a vendor name on this site does not mean a partnership or a prebuilt live connector. We verify access, API limits, export quality, and implementation scope before promising an integration.
We begin with one recurring workflow, its source systems, current work product, and review owner. The first proof runs beside the existing process and reconciles differences before anything replaces or publishes from it.
Engagements are scoped around the workflow, source systems, volume, and controls required. Pricing follows the analyst work and operational risk retired, not the number of users. We give you the number after we see the process.
Start with one workflow
Show us the process, the source systems, and who reviews the result. We’ll map a first proof worth running.