Miami, FL, USA
2015
  |  By Eugenii Samarskyi
2026 building-performance requirements increasingly depend on reliable property, meter, utility, and energy data, and that same normalized data can support compliance, reporting, analytics, and energy management. In 2026, several US jurisdictions reach building-performance deadlines, spanning recurring annual benchmarking, first-time compliance dates, and emissions-reduction requirements. The rules differ by jurisdiction, but many draw on the same property, meter, and utility records.
  |  By Zorian Fedoryga
For a real estate platform, a new market can introduce different source systems, property attributes, identifiers, business rules, geographic structures, and reporting requirements, each of which enters the platform somewhere. The engineering question is where those differences land in the existing platform, and whether the current data model, integrations, search, workflows, and analytics can absorb them without a second architecture forming alongside the first.
  |  By Ihor Sokolyk
Investment leaders may see the same portfolio figures across board decks, monthly reports, and multiple reporting tools. Occupancy, cash flow, returns, and budget variances are all there. What is harder to get from that reporting is a quick understanding of what changed, whether it matters, and which asset or market deserves attention next. A reporting screen shows the numbers.
  |  By Oleksandr Bryk
Quick answer: Real estate data often differs across systems because MLS, PMS, CRM, and ERP platforms use different identifiers, schemas, formats, and update rules to represent the same property. Fixing it isn’t a one-time cleanup. It requires a reconciliation capability: identify candidate matches, normalize values, validate them, enrich missing fields, consolidate confirmed duplicates, resolve source priority when systems disagree, and monitor for new inconsistencies as records change.
  |  By Roman Havrylyuk
A production release is not the end of engineering work on a product. It is the point where the software starts living in an environment it doesn’t control. Operating systems ship new versions, dependencies get patched or deprecated, third-party APIs change their contracts, traffic grows, and newly disclosed vulnerabilities turn yesterday’s safe code into today’s exposure.
  |  By Eugenii Samarskyi
Quick answer: A single portfolio view depends on the data and reporting infrastructure underneath it. Real estate investment dashboards work best when they draw from a governed data layer rather than a stack of monthly Excel exports.
  |  By Zorian Fedoryga
For much of the past decade, the PropTech default was straightforward: buy the commodity software and reserve engineering capacity for what differentiated the product. AI-assisted development is moving that line, and the answer looks less obvious than it did two years ago. For the broader framework, including cost, integrations, vendor lock-in, data ownership, and long-term maintenance, see our guide to build vs buy real estate software.
  |  By Ihor Kosandyak
A real estate acquisition often brings another data environment with it. That can mean a second CRM, a second PMS or ERP instance with its own chart of accounts, and a second set of property and client IDs that were never built to reference each other. Add in a spreadsheet or two, built to keep the two businesses reporting the same numbers in the meantime, and the picture gets messier still.
  |  By Oleksandr Bryk
The forecasting model is often the smaller part of the job. In production, what makes predictive analytics in real estate reliable is the infrastructure around it: governed historical data, unified business entities, feature pipelines, model serving, monitoring, and integration into the systems where people work.
  |  By Zorian Fedoryga
The MLS (Multiple Listing Service) is designed to manage and exchange listing information within a defined real estate market. It standardizes how a property for sale is described and distributed, and it updates on a regular cadence. Within its market, an MLS is the system of record for the listing data it governs. It was not designed to be the central operational data platform for an individual brokerage’s customers, transactions, financials, or product analytics.
  |  By ORIL
How is AI changing software development — and what happens when AI-generated code meets real-world data? In this clip from The Innovation Blueprint Podcast, Roman Havrylyuk from ORIL and Bob Frady, Co-Founder of PropertyLens, disscuss how AI is changing the way teams write code, work with data, and make business decisions — and why better AI capabilities don’t eliminate the need for strong engineering and data foundations.
  |  By ORIL
How do you know if a real estate data provider can actually deliver what they promise? In this clip from The Innovation Blueprint Podcast, hosted by ORIL, Ivo Draginov of BatchData shares why testing data quality, coverage, accuracy, and consistency matters before relying on a provider for real business decisions. Don’t just evaluate the pitch. Test the data.
  |  By ORIL
America has always had a strong culture of building, innovation, and entrepreneurship. But what does it take to unlock that spirit for the next generation of real estate and housing? In this clip from The Innovation Blueprint, ORIL's CEO Roman Havrylyuk and Jonas Bordo, co-founder and CEO of Dwellsy, explore what’s changing in the way America builds — and where technology, data, and new approaches can help move the industry forward.
  |  By ORIL
Rental data has always been a guessing game — scraped estimates, self-reported surveys, no real way to verify the number on a listing. On this episode of The Innovation Blueprint Podcast, ORIL's CEO Roman Havrylyuk talks with Jonas Bordo, co-founder and CEO of Dwellsy, about what it actually takes to get rental data right — and what changes once AI is making decisions on top of it.
  |  By ORIL
In this episode of The Innovation Blueprint, Roman Havrylyuk (CEO of ORIL) talks with Joe Stockton, Co-Founder & CEO of Oyster Data, about how Oyster Data is transforming real estate operations with advanced asset management and AI-driven solutions. Learn how predictive maintenance is reshaping property performance and what the future holds for PropTech in 2026 and beyond. What we cover in this episode.
  |  By ORIL
In this episode of The Innovation Blueprint Podcast, host Roman Havrylyuk, CEO of ORIL, sits down with Jeral Poskey, CEO of Swyft Cities — the company that revolutionizes mobility & transforms real estate with Whoosh transportation technology. Together, they dive into the origins of Swyft Cities, the technological breakthroughs powering the Whoosh system, and the real-world challenges of introducing new transportation infrastructure. The conversation also uncovers how flexible transport networks can unlock entirely new opportunities for urban development and smarter city planning.
  |  By ORIL
In the new episode of The Innovation Blueprint Podcast, we sit down with Gaurav Singh, Lead AI Product Manager at Ridecell – a fleet automation solution provider powering digital transformation journeys for fleet-driven businesses globally. Together, we dive into the evolving role of artificial intelligence in fleet management and explore its emerging applications in real estate. Gaurav offers valuable insights on the challenges of data integration, the critical need for role-specific insights, and how AI is currently being leveraged across various industries.
  |  By ORIL
In the new episode of The Innovation Blueprint Podcast, ORIL sit down with Anthemos Georgiades, CEO of Zumper, the largest privately owned rental platform in North America, with over 76 million annual site visits. He explores Zumper's revolutionary approach to rental listings, the power of AI in real estate, and the critical role of backend infrastructure in driving seamless user experiences.
  |  By ORIL
In this exciting new episode of The Innovation Blueprint Podcast, we chat with David Bitton, Co-founder of DoorLoop, the highest-rated all-in-one property management software. DoorLoop helps property managers and owners make more money, stay organized, and grow their businesses. We dive deep into the unique features of DoorLoop, discuss how AI is transforming property management, and explore the critical role of communication tools in improving efficiency and customer satisfaction.
  |  By ORIL
In this episode of The Innovation Blueprint Podcast, we speak with Julie Blanc, Co-Founder & CEO at Rentana. Rentana is the AI-powered, first-of-its-kind revenue intelligence platform built for multifamily owners and operators. In This Episode, You’ll Learn:– Origin and inspiration behind the Rentana solution– Data integration and privacy approach– Core AI functionalities and future enhancements– The broader impact of AI on the PropTech and real estate industries.

ORIL is a software development and design company that enables companies in Real Estate, FinTech, Transportation and Automotive, and more to deliver intuitive, user-friendly digital products. Our team combines technical expertise with domain-specific knowledge to deliver high-quality digital products that bring maximum value to businesses.

From product strategy and design to implementation and scaling, we cover full-cycle software development. We deliver web, and mobile applications, and complex custom platforms that increase user engagement and meet industry needs. We support organizations in their digital transformation to enhance operational efficiency and strengthen market presence.