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Company

6 months Avg time to first clean dataset without RevRE

The problem

Integrations are the moat for vendors to enter the Multifamily market.

PMS integrations are expensive to build and maintain, but sometimes feel necessary to enter the multifamily market and serve clients. The fact is, if your product doesn’t require sending information into the PMS, it might not be necessary to build an integration. Integrations are great for bi-directional data, but may be wholly unnecessary if you only require information from your client to serve their onboarding and ongoing informational needs. Not only are integrations costly and time-consuming to build, they are hard to maintain, and still require companies to standardize output once data is received. The amount of effort to build data pipe infrastructure in the multifamily industry, when it’s not core IP, suggests considering a cost-effective ETL solution like RevRE might be a good idea for you and your Proptech dev team.

RevRE does the infrastructure work so your team doesn't have to. We extract, transform, and standardize data from most major PMSs — so what you receive is clean and consistent.

1 day

To onboard first client If we have your client as one of our 120+ installations, you can receive data the next day.

6 mos

Time to build an integration without RevRE The industry norm to build an integration is six months, which creates a solid ROI right away.

80%

Reduction in data prep time Deloitte found that companies with automated data pipelines reduced their data prep time significantly.

How it works

Data infrastructure built for multifamily.

From raw PMS exports to analysis-ready datasets — RevRE handles every step of the data pipeline so your team can focus on product, not plumbing.

Step 01 — Extraction

PMS data extraction

Connect once. Get data from every client — automatically.

RevRE connects to major property management systems and extracts raw operational and financial data on a daily schedule. No manual exports. No brittle API integrations to maintain. Your team gets fresh data every morning without touching a pipeline.

Managed connectors — no developer time required to maintain

Daily refresh — new data every morning without scheduled jobs

Full data lineage — always know where each record came from

See Standardization

Step 02 — Standardization

Normalization & enrichment

Every data point structured consistently — across every PMS and every property.

RevRE's standardization layer applies consistent structure to every field. First name, last name, Address, Move In, Occupancy, Parking, NOI, turnover — all calculated and defined the same way across every property and every PMS.

See ETL Process

Step 03 — Delivery

Flexible data delivery

Get clean data wherever your team works.

RevRE delivers standardized data with no proprietary data layer to work around.

LLM-ready structured data for AI analytics tools

See Data Licensing

Step 04 — Market Data

Live benchmarks for your models and reports

Model against real operational data — not survey estimates.

LLM-compatible structured data — feed agents clean, consistent property records.

Live benchmarks for your models and reports

LLM-compatible structured data — feed agents clean, consistent property records.

20+ U.S. markets with regional analysis

See the BI Tool

What you get

Every data type your multifamily models need — clean and ready.

RevRE standardizes the full operational and financial data stack across your portfolio — so whatever you're building, the inputs are already trustworthy.

Structured & enriched

Portfolio + market data.

Operational Data

Occupancy, leasing velocity, renewals, delinquency, move-ins/outs — extracted daily from your PMS with consistent metric definitions.

Occupancy Renewals Delinquency Leasing velocity

Financial Data

Revenue, expenses, NOI, and budgets normalized through the Financial Mapper — 1M+ GL categories standardized for true cross-portfolio financial analysis.

Revenue Expenses NOI Pro Formas Budgets

PMS extraction

Market benchmarks

GL normalization

Who uses RevRE for data & analytics

Built for every team working with multifamily data.

Whether you're an in-house analyst, a data engineering team, or a PropTech company building on top of multifamily data, RevRE gives you the foundation to move faster.

Data analysts

In-house data & analytics teams

You spend too much time cleaning data before you can analyze it. RevRE gives you a clean, standardized dataset from day one — so you can spend your time building models and surfacing insights, not debugging pipeline errors.

Analysis-ready data — no cleaning, no reconciliation

Consistent metric definitions across every property

Live market benchmarks joined to portfolio data

ETL & Standardization Data Licensing

Data engineers

Data engineering & infrastructure teams

Building and maintaining multifamily data pipelines is expensive and fragile. RevRE replaces the extract and transform layers entirely — delivering clean, structured data directly to your warehouse so your team can focus on higher-value infrastructure work.

Replace brittle PMS integrations with managed connectors

Direct delivery to your stated endpoint.

Daily refresh — no pipeline maintenance required

ETL & Standardization ETL Process

PropTech & AI builders

PropTech companies & AI product teams

Building analytics products, pricing models, or AI agents on top of multifamily data requires a structured, continuously refreshed data layer. RevRE provides that foundation so your team builds product, not pipelines.

Structured data for AI agents and LLMs

Continuously refreshed — always current, no stale batch exports

Data Licensing ETL & Standardization

Skip the integration work.
Focus on the product.

Integrations are the moat for vendors to enter the Multifamily market.

Data infrastructure built for multifamily.

Connect once. Get data from every client — automatically.