Integrate, normalize, and connect new MLS, listing, and property data into your existing systems — so opening in a new market doesn't mean building a second data model. ORIL helps real estate brokerages and investment firms integrate a new market's MLS, listing, and property data into their existing data model and business systems — connecting new-market sources into one reliable foundation without rebuilding their stack.
A new market often brings a new MLS, new listing providers, new property datasets, and market-specific schemas your current systems weren’t built to handle. Most brokerages either force the new data into a model that doesn’t fit, or stand up a second, isolated system to manage it.
Both paths create the same downstream cost: duplicate records, inconsistent reporting between markets, manual reconciliation, separate data logic per market, a slower rollout, and maintenance overhead that compounds with every market you add.
ORIL integrates local MLS and property data sources, maps market-specific fields and identifiers, and normalizes the new data into your existing model. We build automated ingestion and synchronization, with data validation and QA in place from day one — so new-market data reaches production without a multi-month integration project.
Outcome: A consistent data foundation across markets — without creating another isolated data environment.
ORIL integrates and standardizes data across the systems and sources your business already relies on — connecting new MLS, property, and market data into a unified, reliable data layer.
We connect the data sources your new market relies on, including:
plus the local and regional MLS feed the new market runs on.
Your expanded data layer connects directly to the existing business systems now receiving and using the newly integrated market data:
Property Management Systems
Brokerage Platforms
CRM Platforms
One foundation for reporting, analytics, operations, and future growth.
ORIL combines software engineering with hands-on PropTech experience to build data solutions around how real estate businesses actually operate.
years building custom software and data solutions
products delivered across complex business environments
across real estate data, MLS and listings, property management, investment, construction, energy, and smart buildings.
Our track record spans data integration and platform work for real estate operators and investors, with long-term partnerships built on reliable data and measurable operational outcomes.
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It means connecting a new market's MLS, listing, and property data into your existing data model rather than standing up a separate one — including assessing your existing environment, integrating the new-market sources, normalizing the data into your schema, and connecting it to the business systems you already use.
ORIL maps the new MLS's field definitions, property identifiers, and listing statuses against your existing schema, then normalizes the incoming data to match — so the new market's data structure conforms to your model instead of requiring a second one.
Market-specific fields and listing statuses are mapped individually and normalized into your existing definitions during integration, with automated QA validating the mapping before the data reaches production.
Yes. ORIL connects and synchronizes new-market data with your existing CRM, PMS, and other business systems without requiring a platform replacement.
Yes — that's the point of the approach. Rather than each market getting its own schema, new markets are normalized into one existing data model, so reporting and analytics work the same way regardless of which market the data came from.
Timing depends on the number of sources, your existing architecture, data complexity, and the scope of the rollout. A single new MLS connection scopes differently than a multi-provider, multi-system rollout — ORIL defines a specific timeline after the initial assessment.
Yes. Because new markets are normalized into your existing model rather than given separate systems, each additional rollout builds on the same foundation instead of adding new complexity.
No. ORIL can handle the assessment, integration, schema mapping, normalization, and data quality work. Where an internal team exists, we work alongside them and extend their capacity.
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