The Decision Operating System for Institutional Real Assets.
CRE decisions are still being made across ARGUS Enterprise, Excel, siloed PDFs, and disconnected emails. There's no governing layer for reconciliation, explainability, and auditability. Parlano.ai unifies your models, contracts, data, and human judgment into a single auditable decision graph.
Contract intelligence at scale — ingest, normalize, and query leases, PSAs, and operating documents instantly
Audit-ready outputs — provenance tracked on every assumption, from document source through IC package
ARGUS-compatible financial modeling — XIRR returns, sensitivity tables, and cash flows generated from your deal documents
Broker-stated occupancy: 95.5% · Rent roll actual: 93.75% · Cap rate impact: +18 bps — the decision graph in action.
The analytical output of a staffed institutional shop. Without the staff.
Large institutions have three analysts on that broker email by Monday morning. You're still building the base model on Tuesday, and you haven't started checking the seller's occupancy assumptions against the rent roll. Parlano.ai closes the gap. Upload your offering memorandum, rent roll, and loan documents. A complete financial model (every assumption sourced, every gap named, every metric traceable) is ready in minutes.
Speed without trust is a liability in front of an investment committee. Parlano.ai tracks every assumption through a five-state provenance chain: sourced from the document, AI-estimated with explicit rationale, seeded from your firm's configured defaults, benchmarked against current market standards, or explicitly flagged as missing. Nothing is silent. Every number is auditable. Every gap is disclosed before your IC finds it.
No surprises at the IC. Not because all gaps are filled. Because every one of them is named.
What Parlano.ai does
Purpose-built for CRE acquisition analysis, not adapted from a general-purpose AI tool.
Document extraction pipeline
Upload your OM, rent roll, loan agreement, and financials. Each document is classified automatically and every material term (lease obligations, NOI components, capital structure, CapEx schedules) is normalized into structured deal knowledge.
AI-generated financial model
IRR and equity multiples across 3, 5, 7, and 10-year holds. Sensitivity tables on rent growth, vacancy, and exit cap rate. DSCR and cash-on-cash. All generated using ARGUS-compatible DCF conventions from your uploaded documents.
Five-state provenance on every assumption
Every metric carries an explicit state: sourced from the document (with click-through to the passage), AI-estimated with reasoning shown, firm-configured, market-benchmarked, or explicitly flagged missing. Click any number. See exactly where it came from.
Proactive AI deal assessment
Before you open the model, Parlano.ai has already read the deal. It surfaces occupancy discrepancies, lease-up timing issues, and broker vs. document gaps, each with quantified return impact. Follow-up questions cite the exact source passage.
Gap flags with quantified impact
Every missing or unverifiable data item is named, severity-tagged (blocking, warning, informational), and linked to its quantified impact on returns. Blocking gaps require explicit acknowledgment before the model is IC-ready.
Market benchmark scoring
Cap rates, vacancy, rent growth, and debt terms scored against CBRE, Yardi Matrix, JLL, NCREIF, and FRED. Each assumption gets a verdict (CONSERVATIVE through AGGRESSIVE) with benchmark range and data vintage shown.
Learns your firm's investment thesis
Configure your LTV targets, hold period, and return thresholds once. They seed every deal model from your standards, not generic averages. As analysts review deals, the system sharpens its defaults to match how your firm actually underwrites.
How it works
Ingest
Upload your offering memorandum, rent roll, loan agreement, and financials. Each document is classified automatically and routed through an extraction workflow calibrated to its type, with no templates, no manual field mapping.
Structure
Agents extract every material term: lease obligations, occupancy by unit, capital structure, NOI components, CapEx schedules, and key dates. Broker-stated occupancy is cross-referenced against the rent roll.
Analyze
Parlano runs its own deal assessment before you open the model. It surfaces discrepancies, occupancy anomalies, and lease-up timing. Every flag names the gap and quantifies its impact on returns.
Deliver
IRR and equity multiples across four hold periods, sensitivity tables, DSCR, and a complete assumption audit trail with every metric in an explicit provenance state, every gap named and quantified.
Simple, transparent pricing
Start with a 14-day free trial. No credit card required. Enterprise options available for custom deployments.
Pro
Full feature access for single analysts through small firms. Ideal for independent buyers and smaller deal teams.
$199
/month
$0
Beta Access
What's included:
Unlimited deals & document uploads
AI-powered financial assessment
IC memo export with full provenance
Advanced financial model (XIRR, sensitivity)
Audit-grade assumption tracking
Enterprise
Custom deployments for enterprise needs. Firms with complex compliance needs. Enterprise security requirements. Data isolation and privacy controls.
Custom
What's included:
Everything in Pro
Custom deployment options
Dedicated environment options
Enterprise security & observability integrations
Dedicated onboarding
Frequently asked questions
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