Give your users accurate, fresh listings across every market you serve, and give your team a data foundation to build new features on. ORIL builds the technology layer around your MLS data: RESO Web API integrations, multi-MLS ingestion, normalization and enrichment, listing search, and analytics. Data access comes through your agreements with each MLS; ORIL builds everything you do with that data.
Discuss Your MLS Project
Connecting to an MLS feed is the easy part. The hard part starts after the first sync: inconsistent schemas, overlapping coverage, display rules, and data that isn’t ready for search or AI. Here’s where MLS-dependent products usually stall, and what fixing it changes.
An MLS feed delivers records. Your users need search, insight, and workflows. We build every layer in between, from ingestion pipelines to the applications your customers and agents use every day.
The goal isn’t a working feed. The value of MLS technology shows up when reliable listing data improves the product itself — from freshness and search quality to market expansion, analytics, and the ability to launch new features without rebuilding the data layer:
MLS technology is a chain, and a weak link anywhere shows up in your product. We work across the full path from licensed MLS source to the features your users touch:
We build for companies whose product, operations, or analytics depend on MLS listing data:
Define source coverage, search behavior, listing workflows, and the data model before development starts.
Build web and mobile MLS-powered products around high-volume, multi-market listing data, with architecture that supports long-term growth.
Turn MLS and property data into a trusted layer for analytics and AI capabilities, from search and recommendations to valuation and workflow automation.
Extend your MLS product or data team with engineers who already understand listing data, integrations, and search.
We start with the product and markets you need to support, then design the MLS data layer, integrations, and workflows required to make that roadmap maintainable.
PropTech companies, brokerages, and real estate data businesses on working with ORIL.
Working with ORIL was highly productive and professional. They supported us in building an application that complemented our core product, and their team handled the design and development efficiently. The tools they crafted expanded our initial project scope, and their professionalism and ease of collaboration made our partnership highly productive.
Robins & Morton is a construction company known for its specialization in healthcare, government, and commercial projects…
How satisfied are you with the overall quality of ORIL's service, and what factors influenced your rating? - Highly satisfied, particularly due to the quality and ease of interaction.
gReenvision is a platform that enables individuals to envision a future without carbon dioxide emissions…
We value our partnership with ORIL, especially their communication, understanding of our needs, and efficiency.
Brickeye serve the construction industry by providing IoT technologies to help construction improve their productivity, reduce the risk…
As a startup, it’s a difficult task to select a development agency that is both skilled and patient enough to navigate the team through the initial phases of application design and development. ORIL’s service, performance and communication from design to development have been that of any top tier, premium development agency. Our partnership with ORIL has been one of the best decisions we’ve made as an organization and we look forward to continuing to work with the ORIL team through our app’s launch and beyond.
The collaboration is effective, and ORIL always delivers on time. Precise and professional, they provide useful insights, clear documentation, and appropriate tools for the tasks at hand.
ORIL designed the website with an elegant and professional look along with great performances and functionalities, which resulted in the website’s significantly improved conversion rates.
Tell us what you're building or fixing: a multi-MLS portal, a RESO Web API migration, a listing data platform, or AI features on top of MLS data. We'll talk through your sources, architecture, and options, and tell you plainly what it would take.
5 Oct, 2026 · 11 min read
15 Sep, 2026 · 10 min read
8 Jul, 2026 · 8 min read
MLS software development is the design and engineering of products that ingest, normalize, store, search, analyze, and use MLS listing data. It can include MLS integrations and data pipelines, but also the search experiences, property intelligence, analytics, AI features, and applications built on top of that data.
MLS data integration connects and moves listing data between systems. MLS software development uses that integrated data to build product capabilities around it — including search, portals, analytics, workflows, APIs, and AI features.
An MLS data foundation typically includes source integrations, a canonical property and listing model, normalization, entity resolution, validation, history, source lineage, synchronization, and the storage or APIs required by downstream product features.
An MLS is the organization and data source. IDX is a framework for broker display of eligible listing data under applicable MLS rules. RESO defines technology and data standards used to exchange MLS data, including the Web API and Data Dictionary.
The RESO Web API is the modern approach for MLS data exchange. RETS is a deprecated legacy transport that RESO no longer develops. Modernization projects typically move RETS-era integrations toward Web API-based architecture.
No. MLS access comes from the relevant MLS, broker, brokerage, or authorized data agreement. ORIL works with the data you are licensed or otherwise authorized to use and builds the software, pipelines, and product capabilities around it.
Yes. We map each MLS into a shared model, resolve overlapping property identities, link the underlying listings, and preserve source-specific lineage and display requirements.
We combine incremental replication, scheduled or event-driven synchronization, retries and backfills, and reconciliation processes for status changes, media updates, and removed listings. Frequency and behavior are aligned with product needs and applicable source requirements.
Rules for attribution, disclaimers, refresh frequency, and permitted fields vary by MLS and feed type (IDX, VOW, or broker back office). We make these rules configurable per source, so compliance is built into the product rather than handled manually.
Potentially, where the applicable MLS and other data agreements permit the intended use. Normalized listing history and enriched property data can then support analytics, valuation, recommendations, and AI-powered search.
Yes. We migrate RETS-based or hard-coded integrations to RESO Web API, separate ingestion from application logic, and move platforms to cloud-native architecture, with parallel runs to validate data before cutover.
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