Product Suite
Suite Overview
See how the products work together or use one individually.
BI Tool
Self-service Business Intelligence for multifamily portfolios.
Data Plus
Your transformed data providing insights and delivering alpha returns.
ETL & Standardization
Clean, normalized multifamily data from any PMS — automatically.
Data Licensing
Live multifamily benchmarks delivered to your systems or AI agents.
Information
Pricing
See à la carte and full suite pricing.
ETL Process
How RevRE extracts, transforms, and loads your data.
Data Security
How RevRE protects your data — SOC 2, encryption, access controls.
FAQ
Common questions about RevRE and our products.
MCP
Questions about RevRE’s MCP, AI platform access, and standardized multifamily data.
By Role
Learn
Book a 20-minute walkthrough tailored to your portfolio size and use case.
Plug your portfolio into an AI application, layer in comps and market composites for full context.
Connect to any MCP-compatible assistant. No vendor lock-in.
Your portfolio + your comps + the full market, in three layers.
Every PMS normalized to one schema, so the AI reads it right.
Live data underneath every answer.
The problem
Everyone’s building AI tools for multifamily right now. Most models today share the same blind spot: they don’t know real estate. You can ask a model anything, but if it can’t see and understand your data holistically, how can the analysis bring any value? Definitions, data structure, timing, vintage — so many factors make real estate hard to analyze. It’s hard enough for experienced market participants who know how to ask the right questions. But if you’re relying on AI to know how to compare your properties to the market, you might get more confident guesses than actual answers.
The fix isn’t a smarter model. It’s enabling the framework that allows for context. And context builds outward from you: your data first, then the comparisons that make it mean something. RevRE delivers that context in three layers — and you control each one.
How it works
Context builds outward from you. Step through the layers to see how RevRE turns your raw portfolio into 360° market intelligence.
Step 01 · Your data
Connect your property and portfolio data to the MCP client you already work in. (MCP — Model Context Protocol — is the open standard that lets AI assistants pull from live data sources.) Point Claude, or any MCP-compatible assistant, at your portfolio and ask it anything.
Behind the scenes, RevRE normalizes your data from every major property management system into one consistent schema, so the AI reads it correctly — same occupancy formula, same NOI calculation, same expense mapping, refreshed daily.
Step 02 · Your comps
Your portfolio in isolation only tells half the story. Is 89% occupancy strong or soft? It depends entirely on what you’re up against. So pick the properties and markets you want to measure against, and RevRE feeds that comp set through the same connection.
Now your AI doesn’t just report your numbers. It tells you how you stack up — against the peers you actually care about, not a generic index someone else built.
Step 03 · The full market
Layer in market data composites: aggregated, normalized performance across hundreds of thousands of units in 20+ markets. This is the view no single operator can build alone.
Now your AI sees all three rings at once — your portfolio, your chosen comps, and the broader market. Every answer gets measured against what’s actually happening out there, and it stays current because the data refreshes daily.
That’s 360° context — your data, made smart by everything around it.
What your team can build
With all three layers connected, you describe what you want and let AI build it — no data engineering team, no months of pipeline work.
Describe your ideal view — NOI by market, occupancy trend by asset class, expense variance vs. peers — and build it on RevRE data as the live source.
Set a cadence. Define the format. Let your AI agent pull fresh RevRE data, populate the report, and distribute it — without a manual step from your team.
Build agents that watch your portfolio every morning and flag the moment something looks off — expense spikes, occupancy drops, renewal anomalies — before they compound.
Connect RevRE market data to your underwriting models and stress-test assumptions faster — live market benchmarks, instant comp sets, no manual pull.
Ask your portfolio questions in plain English and get answers grounded in real, current operational data. No SQL, no exports, no waiting.
Use RevRE as the structured data layer underneath your own AI products. Feed clean, continuously refreshed property data to your models — no pipeline team required.
Who it’s for
You’re curious about AI but your data is a mess, so the tools give you nothing useful. RevRE cleans the foundation — so when you point Claude at your portfolio, you get real answers.
You want to build predictive models — rent forecasting, occupancy projection, expense anomaly detection — but you spend most of your time cleaning data instead of modeling.
You’re building AI-powered products for multifamily — pricing engines, underwriting tools, portfolio intelligence. You need a structured, continuously refreshed data layer underneath. That’s what RevRE is.
Your data, the comps you choose, and the full market — connected to the AI you already use.
Book a 20-minute walkthrough tailored to your portfolio and use case.