Data-driven analysis of U.S. commercial real estate
Our analysis applies proprietary data and structured frameworks to U.S. CRE pricing, capital flows, and cycle positioning — producing the kind of conviction investors need at decision time.
The pillars of our analysis
Each analysis begins with disciplined data collection, then layers on market context, capital-flow visibility, and cycle-aware positioning.
Data Infrastructure
The proprietary data sets and leading indicators we track across U.S. metro markets to inform pricing and positioning calls.
Valuation Bridge
Reconciling public-market multiples with private transaction pricing, and the methodologies we apply to value U.S. CRE assets.
Capital Flow Mapping
Tracking where domestic and cross-border capital is deploying, how allocations are shifting, and what that means for pricing.
Cycle Positioning
Analytical frameworks for timing markets, sizing exposure, and managing downside across the U.S. CRE cycle.
A repeatable analytical framework
We layer proprietary transaction data, public-market signals, and operator-level fundamentals to build forward-looking views of U.S. commercial real estate. The goal is not more data — it is the right data, framed by the questions that matter at decision time.
Core inputs
- Proprietary deal-flow and pricing data from active engagements
- Public REIT multiples, CMBS spreads, and treasury curves
- Operator and tenant-level fundamentals across metros
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