Integrate, normalize, and consolidate MLS, CRM, PMS, and transaction data after an acquisition — so growth by M&A doesn't mean running two disconnected businesses. ORIL helps real estate brokerages and investment firms combine two established businesses' data environments — overlapping records, incompatible schemas, and all — into a single reliable foundation, without forcing a platform replacement.
An acquisition usually means two CRMs, two sets of agent and property records, overlapping MLS connections, and incompatible schemas. Reporting breaks the moment someone tries to run it across both businesses — and every month it stays unresolved makes the eventual consolidation more expensive.
Left unresolved, this shows up as conflicting KPIs, inconsistent reporting between the two sides, duplicate records, manual reconciliation, parallel workflows that never fully merge, and maintenance complexity that grows the longer both environments run side by side.
ORIL audits data sources and pipelines on both sides of the deal, identifies duplicates, overlaps, and gaps, and maps schemas, identifiers, and business definitions to a shared standard. We normalize and consolidate the data into a unified model and synchronize it with the systems both teams already use.
Integration connects the two sides. Consolidation is what actually reconciles them into one operating model — that distinction is the core of what this page delivers.
Outcome: One consistent view of your real estate data across the combined business.
ORIL integrates and standardizes data across both sides of the deal — connecting overlapping MLS, property, ownership, transaction, CRM, and operational data into a single, reliable data layer.
We connect the data sources either side relies on, including:
plus each entity’s local and regional MLS feeds.
The result is normalized, deduplicated, and consolidated data validated through automated QA — a shared data model used across the combined organization, while any legacy systems on either side still need to remain operational and connected to it.
Property Management Systems
Brokerage Platforms
CRM Platforms
Each of these is a system used by one side or the other, connecting to the consolidated foundation rather than being replaced by it.
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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Yes. Post-acquisition data consolidation can include auditing both environments, identifying duplicate records and data gaps, mapping identifiers and business definitions, normalizing schemas, consolidating pipelines, and connecting the resulting data layer to your existing CRM, PMS, BI, and other business systems.
ORIL identifies where the same property, agent, or customer exists in both environments under different IDs or structures, matches those records, and applies clear survivorship rules to determine which record — or which combination of fields — becomes the source of truth.
We map each side's field definitions, identifiers, and listing statuses to a shared standard, then normalize both environments' data into that common model rather than forcing one company's structure onto the other.
Yes. ORIL's approach connects, normalizes, and synchronizes the systems both entities already use without requiring a platform replacement.
ORIL maps schemas, identifiers, and business definitions from both organizations against each other, resolves where they conflict, and establishes the shared definitions the consolidated data model is built on.
Yes. Data assessment is the starting point whether the deal has closed or not. ORIL can review both environments to identify data sources, duplicates, overlaps, gaps, integration dependencies, and quality issues before defining the consolidation and normalization approach.
It depends on the number of systems and data sources on both sides, data quality, duplicate volume, how different the two architectures are, and the target model — ORIL scopes duration individually rather than quoting a fixed timeline.
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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