CRE analytics built by the analysts who needed it.
Founded in Charlotte, NC in 2022. Built by practitioners who spent years defending valuation positions with stale data sourced manually from county recorder websites and broker call-arounds.
Built in Charlotte. Built for the markets we work in.
Vincent Russo spent seven years as a CRE analyst and acquisitions advisor in the Charlotte market before starting Parcelhalo in 2022. The frustration was specific: every acquisition screen started the same way. Pull deeds from the Mecklenburg County recorder portal. Cross-reference MLS comps by hand. Check the city planning portal for zoning changes. Two to three hours per parcel, every time, before you had enough to take to an investment committee. And the data was often thirty to sixty days stale by the time you assembled it.
The enterprise data platforms solve this for large institutions with large contracts. But the acquisitions teams at regional CRE investment firms, mid-size mixed-use developers, and independent commercial brokerages do not have those budgets. They screen deals in spreadsheets populated with manually copied assessor data.
Parcelhalo was built to close that gap — not by building another Automated Valuation Model that produces a point estimate with no explanation, but by building a tool that works like an appraiser: citied comparable transactions, explicit zoning-change logic, and a quantified location contribution. A reasoned argument for value, not a confidence interval.
A reasoned argument is more useful than a confidence interval.
What most valuation tools give you:
- A single point estimate with no comp citations
- Confidence intervals that conflate model uncertainty with market uncertainty
- No explanation of why comps were selected or excluded
- No zoning context baked into the estimate
What Parcelhalo gives you:
- A defensible value range with cited comps
- Explicit comp selection rationale — use class, submarket, recency
- Zoning flags and entitlement risk surfaced pre-public
- Data freshness indicator on every factor
Small team. Deep domain knowledge.
Vincent Russo
Seven years as a CRE analyst and acquisitions advisor in the Charlotte market before founding Parcelhalo in 2022. Spent those years underwriting acquisitions for regional investment funds across the Carolinas and Georgia — office, retail, mixed-use, and industrial land. Knows the gap between an appraiser's written argument and what an AVM actually produces.
Marcus Webb
Designed the comparable sale selection engine and the zoning-adjustment methodology. Background in statistical modeling for property data systems, with prior work building comp-selection algorithms for a commercial appraisal software firm. Holds an MAI designation and brings the appraiser's discipline to how the model selects and excludes transactions.
Priya Natarajan
Builds and maintains the pipelines connecting county deed records, municipal zoning APIs, assessor feeds, and location analytics into a coherent ingestion layer. Previously worked on data infrastructure for a commercial real estate data aggregator covering the Southeast US. Responsible for freshness SLAs across all four MSAs and the data-quality flagging that surfaces in every report.
Three principles that shape every product decision.
Source Traceability
Every value estimate traces to an identified source: a deed transfer record, a zoning classification from a specific municipal portal, a foot traffic index with a stated measurement window. We do not smooth or impute data to produce cleaner output. When a source is stale or the transaction pool is thin, the report says so.
Analyst-First Design
Parcelhalo is designed for practitioners who can read a cap rate schedule and argue with a comparable adjustment. We do not hide methodology behind confidence intervals or simplify for a consumer audience. If you can stress-test the output — and disagree with it — that is the intended behavior.
Geographic Discipline
We cover the Charlotte, Raleigh, Atlanta, and Nashville MSAs because we have sufficient deed-transaction density in those markets for defensible submarket-level analysis. We do not publish figures for submarkets where the data is thin. Expanding coverage is a data-quality decision, not a sales decision.