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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.
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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.
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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.
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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.
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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.
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By Ihor Kosandyak
A prospective renter checks an apartment on Zillow, then on Apartments.com, and sees two different prices. They are not comparing two units. They are looking at one property described by two systems that disagree. Most property platforms treat that gap as a data-quality nuisance to clean up after the fact. It has quietly become something else: a signal that shapes whether customers, syndication partners, and now AI search tools trust the platform at all.
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By ORIL Team
A scalable PropTech SaaS platform is built in layers: product workflows, multi-tenancy, integrations, analytics, security, and eventually AI. The right sequence depends on the product, but skipping the architectural foundations creates expensive constraints later. That sequencing is an architecture decision as much as a product one.
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By Eugenii Samarskyi
Two dashboards, same portfolio, different occupancy numbers. This is the moment most reporting modernization projects start, and it is usually read as a dashboard problem. The tool gets blamed, a replacement gets scoped, and the divergence survives the migration intact. It survives because it never lived in the dashboard. When occupancy reads 91% on one screen and 94% on another, both tools are usually working correctly. They are faithfully rendering two different calculations of the same concept.
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By Ihor Kosandyak
A leasing team lowers the admin fee on a two-bedroom unit inside the PMS on Monday. By Friday, the property’s own site still shows the old figure, two syndication partners show a third number, and the Google Business Profile lists no mandatory fees at all. Every one of those surfaces is an advertisement. Under a growing set of state all-in-pricing laws, each one is supposed to display the same total monthly price. The regulation itself is readable in an afternoon.
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By Zorian Fedoryga
AI adoption across multifamily and PropTech has outpaced the rules meant to govern it, and one of those rules is now in force. On August 2, 2026, the transparency obligations under Article 50 of the EU AI Act began to apply, setting specific requirements for how certain AI systems interact with people and how AI-generated content is marked and disclosed.
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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.
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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.
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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.
Rental Data & AI-Ready Infrastructure - with Jonas Bordo, Dwellsy | The Innovation Blueprint Podcast
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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.
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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.
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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.
Accelerating Fleet & PropTech Innovation with AI - Gaurav Singh, Ridecell | The Innovation Blueprint
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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.
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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.
Innovations in Property Management - Insights from David Bitton, DoorLoop | The Innovation Blueprint
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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.
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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.
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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.