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As the Founder & CEO of ORIL, I’m passionate about building technology that strengthens…
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Roman H. posted thisThe most useful question we ask at the start of a PropTech engagement isn't "What do you want to build?" It's: "What changes in your business if this never gets built?" If the answer is tied to revenue, operational efficiency, customer experience, or competitive advantage, we're usually looking at something worth prioritizing. If the impact is less clear, it's often a sign that we need to spend more time validating the problem before discussing solutions. From a technology perspective, every feature comes with a long-term cost. Not just development time, but maintenance, integrations, testing, support, security, and future product complexity. Over the years, I've seen real estate platforms accumulate features that made sense individually but created challenges collectively. More workflows to support. More edge cases to handle. More data to synchronize across systems. More complexity for users. The best products aren't always the ones with the most features. They're the ones that stay focused on solving the problems that matter most. That's why good business analysis and product discovery are so important. The earlier you identify what creates real business value, the easier it is to invest engineering effort where it will have the biggest impact. What's one feature your team thought would be a game changer, but ultimately delivered less value than expected? #PropTech #ProductManagement #BusinessAnalysis #RealEstateTech #ProductStrategy #SoftwareDevelopment
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Roman H. shared thisThe hard part of real estate data isn’t collecting it. It’s making it work together. On the latest episode of The Innovation Blueprint Podcast, I sat down with Bob Frady, Co-Founder of PropertyLens, to talk about property history data. One point from the conversation stayed with me: building databases may be relatively straightforward, but getting different databases to talk to each other consistently is a much harder problem. That’s a pattern we see across PropTech. Data comes from MLSs, public records, CRMs, vendors, and internal systems — but the real value starts when those sources can be connected, enriched, and turned into something a business can actually use. Bob’s perspective takes it one step further: using AI to turn all those property signals into a much simpler question — “Should I buy this house?” It was a great conversation about where property data is heading, what AI changes, and where the real challenges still sit. Full episode is in the comments if you want to hear the conversation. #PropTech #RealEstateData #AI #InnovationBlueprint #RealEstateTechnology
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Roman H. posted thisNot all integrations are equal. Some are features. Some are the reason your biggest clients stay. The problem is that most teams figure out which is which too late, after they've built a homogenous pile of one-off connectors and can't easily tell which ones they can't afford to break. MLS integrations are a good example of how this gets complicated fast. You're dealing with boards that each have their own rules, refresh cadences, and quirks around field availability. RESO standardization helps, but real-world MLS data is still messy. A feed that works reliably at one board will have edge cases at another. The teams that handle integrations well treat them as a strategic layer, not a sprint ticket. They know which connections tie directly to revenue, build monitoring around them, and have a plan before something breaks, not after. That's not an engineering opinion. That's a product decision. Which integration has caused your team the most pain, and did you see it coming? #PropTech #MLSIntegration #RealEstateTech #DataIntegration #CRM #ProductDevelopment #ORIL
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Roman H. shared thisHeading to PropTech Connect in London next month. It's one of those events I actually look forward to, not for the keynotes, but for the hallway conversations. The ones where someone says something offhand about a problem they're dealing with and you realize half the industry is quietly dealing with the same thing. This year the agenda is centering around something I think is overdue: the gap between PropTech pilots and actual scaled deployment. A lot of real estate companies have run AI and data experiments over the last two years. Some of them worked. Most of them didn't make it past a limited rollout. And the question now is: why? From what I've seen working with PropTech teams on both sides of the Atlantic, the answer is rarely the technology. It's almost always one of three things: The underlying data wasn't reliable enough to support the feature at scale. The internal team didn't have the capability to own it after the build. Or the product was solving a problem leadership cared about, not one users had. Those aren't new problems. But the pressure to show AI progress has made them more expensive to ignore. I'm curious what the European market looks like on this, whether the conversations in London mirror what I'm hearing in the US or whether there are meaningful differences in how real estate companies here are approaching the shift. If you're going to be at PropTech Connect September 9–10 — let's find time to talk. #PropTechConnect #PropTech #RealEstateTech #AIinRealEstate #London #DigitalTransformation #ORIL
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Roman H. shared thisRecorded a conversation with Ivo Draginov, Co-Founder of BatchData, and one line summed up a shift I keep seeing across PropTech: "The money is not in the raw data feeds, it's really in the proprietary analytics and predictive data." Raw property records aren't the hard part anymore — counties and public agencies keep getting better at publishing their own data. The hard part is what comes after: resolving inconsistent records into one clean identity, enriching and modeling that data, and making it usable by an AI system without a developer in the middle of every query. That's the layer ORIL works in with real estate and PropTech clients — data integration, enrichment, and visualization on top of whatever source they're using. We talked through what that looks like on his end too: smaller teams doing more, because AI is built into the workflow itself, not bolted on as a feature. Full conversation linked in comments. #PropTech #RealEstateData #AI #InnovationBlueprint #ORIL
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Roman H. posted thisSomething I've watched happen more than once in PropTech: A team ships an AI feature. It demos beautifully. A few months later, it's quietly removed from the product, or it's still there, but nobody talks about it. What happened? Usually one of three things: The model was trained on data that looked clean but wasn't. The feature worked great in the markets they tested and fell apart everywhere else. Or the prediction was technically accurate but practically useless — nobody trusted it enough to change their behavior. AI in real estate fails quietly. The system doesn't crash. It just slowly loses credibility until someone stops relying on it. The projects that go differently have one thing in common: someone made sure the data foundation was solid before the AI conversation started. Not perfect — solid. Consistent field mappings. Reliable refresh rates. Coverage that actually reflects the markets the product serves. That part isn't interesting to talk about. But it's why some AI features last and others don't. Are you building AI on top of a data layer you fully trust? If not, what's the gap? I'm happy to think through it with you. #PropTech #AIinRealEstate #MachineLearning #RealEstateData #DataQuality #RealEstateTech #ORIL
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Roman H. posted thisA lot of PropTech companies talk about proprietary data as their moat. I think engineering velocity - especially around data infrastructure and BI systems - matters just as much. Because even strong data advantages decay if the company can’t: • integrate new data sources fast enough • unify fragmented property and operational datasets • ship customer reporting requests quickly • operationalize AI and analytics features • adapt dashboards and workflows to enterprise needs • maintain reliable data pipelines at scale • turn raw data into decision-ready insights The market is changing too fast now. The winners are increasingly the companies that can move from: data → insight → operational action faster than competitors. Especially in real estate data products, where customers constantly ask: “Can you integrate with our PMS?” “Can you support this MLS?” “Can you customize reporting?” “Can you connect to our CRM?” “Can we get portfolio-level visibility?” “Can we trust the data in this dashboard?” At some point, the backlog becomes the business bottleneck. And eventually the question stops being: “Do we have good engineers?” It becomes: “Can we ship reliable data systems and business intelligence fast enough to stay differentiated?” Curious how other PropTech leaders see this: Is the bigger competitive advantage today proprietary data itself, or the ability to operationalize and activate that data faster than the market? #PropTech #RealEstateTechnology #BusinessIntelligence #DataEngineering #AI #DataInfrastructure #RealEstateData #Analytics #PropTechAI #SaaS #DataPlatforms"
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Roman H. posted thisI've talked to a lot of brokerages about agent adoption of their internal tools. The conversation almost always goes the same way. They built something. Agents used it for a few weeks. Now half of them are back to spreadsheets and WhatsApp groups. The question they ask us: "How do we get agents to actually use the platform?" The real question: "Did we build something that fits how agents actually work?" There's a pattern we see in brokerage tech that drives this — platforms built around how leadership thinks deals should flow, not how agents actually manage them. The approval steps, the data entry fields, the notification logic — it all makes sense from an ops perspective. It just doesn't map to a Tuesday afternoon between showings. The hardest part of building agent tools isn't the technology. It's resisting the urge to engineer the workflow you wish agents had instead of the one they do. If you've built or rolled out agent-facing tools — what actually moved the adoption needle? I don't think there's one right answer here. #PropTech #BrokerageTech #AgentTools #RealEstateTech #ProductDesign #DigitalTransformation #ORIL
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Roman H. shared thisShelter makes up close to 30% of how the US measures inflation, and rent is a major piece of that. Until recently, there was no reliable, real-time number for the rent side of it. That's the kind of detail that stuck with me from a conversation I recorded for the podcast with Jonas Bordo, CEO of Dwellsy. Not because it's a surprising fact on its own, but because of what it says about real estate data more broadly: we've been building forecasts, pricing models, and now AI systems on top of numbers that were never fully verifiable. Scraped listings that go stale in a day. Self-reported figures nobody could check. Good enough when a person was reviewing the output. Not good enough anymore. What changes with AI in the loop isn't the data itself, it's the cost of getting it wrong. Feed a model inconsistent or unverified data and it doesn't hesitate the way a person would — it just gives you a confident, wrong answer. Jonas made a point I keep coming back to: the responsibility for clean, AI-ready data has to sit with whoever's closest to it, because it's not reasonable to expect a client managing ten or twenty different sources to normalize each one themselves. I've seen the same pattern on the engineering side. The teams that get real value out of AI aren't the ones with the fanciest models, they're the ones that did the unglamorous work on their data foundation first. Full conversation with Jonas is linked in comments. Worth your time if data quality is anywhere near your roadmap this year #PropTech #RealEstateData #AI #InnovationBlueprint #ORIL
Roman H. commented on a post
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David Lovins it was great speaking with you! Love how even though TWG has such a long history and still is flexible in providing options for new startups. Best way to build real long term partners!
Roman H. replied to a comment
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Bob Frady Thank you for your time, it was great speaking with you! Good insight is that most users that use analytics and make a calculated decision are 2nd+ time buyers or professionals. However I believe the first-time buyers would probably benefit the most, they just don't know what they don't know. I hope this conversation helps spread awareness.
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Roman H. liked thisRoman H. liked thisI’ve joined PointClickCare as Vice President, Product Delivery & Growth, AI. Much of my career has been at the intersection of technology and complex industries. I look forward to bringing that experience to healthcare technology, where there’s a tremendous opportunity to turn what’s possible with AI into real value for providers and the people they serve. Here we go Oliver and Sydney!
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Roman H. reacted on thisRoman H. reacted on thisA stunning reminder that every property holds a story. I recently visited Dunnottar Castle, just 2 miles outside Stonehaven in the north east corner of Scotland, whilst visiting friends and family. Its absolutely beautiful. Its rich history dating back to when the first buildings were built in the Early Middle Ages (6th–7th century) ... to William Wallace capturing the fortress in 1297, from the occupying English garrison ... to a small Scottish garrison holding out against Oliver Cromwell's troops, in 1651/1652, for eight months before surrendering. Prior to capitulation, the small garrison secretly smuggled the Honours of Scotland (Crown, Sceptre, and Sword of State) past the siege lines and hidden beneath the floor of nearby Kinneff Old Kirk until the monarchy was restored in 1660. A short synopsis of this property: Lat / Long: 56°56′46″ N, 2°11′49″ Lot Area: 3.5 acres # of structures: 12 Sq Ft: 4,500 sq ft Foundation: Stone Roof Condition: Roofless (!) Valuation: Priceless Patrick Dodd Kristie Vainikos Stegen Jim Driver Malcolm Robertson Scott Davidson Russell Dalgleish University of Glasgow Alumni Engagement Team Scott Twynholm David Johnston Donald MacKechnie Kirsten Rogers Ben Warner Kirsten Warner Andy Murray Moogega Cooper University of Glasgow Stephen 'Chalky' White Martyn Robertson Gordon Mackay Adrian Skivington Bryce Melville Tim Lawless Selma Hepp, PhD Iain Wallace Jennifer Castenson Lance Lambert Clayton Collins Amanda Whitehead (Leung) Dan Weisman National Association of REALTORS®Louise Clement DataIQ Ben Ashwell Maryam Banikarim 🗽🚕 ❤️Nicole Friedman
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Roman H. liked thisRoman H. liked thisThe Waukee Community School District Board of Directors and Superintendent, Andy Crozier Ph.D traded the dias this morning for hard hats. It was great connecting with City leaders whose commitment to workforce housing made this amazing project with Greater Des Moines Habitat for Humanity possible. It's important to note how critical the private sector also was in financing the project, including my very own firm's foundation at Principal Financial Group. The highlight of the event for me was to see a school bus pull up to pick up an elementary student from a family who moved in one of the 48 homes being built. I am grateful for the partnership and the opportunity to contribute. #howgoodcanitget
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Roman H. liked thisRoman H. liked thisPropTech Connect Europe - two weeks to go. 🇬🇧 I’ll be back at PropTech Connect in London on 9–10 September, this time joining the panel: “Diagnosing the Problem: Identifying the Business Needs for Technology in Real Estate.” And I think there’s a bigger question behind that: Real estate has more technology, data and AI available than ever before. So why are so many property operations still fragmented, manual and reactive? For me, the opportunity isn’t simply adding more technology. It’s connecting what’s actually happening across our buildings - inspections, condition, compliance, maintenance and performance - to better operational and CapEx decisions. That’s a conversation I’m looking forward to getting into on stage. The Property Inspect team will also be exhibiting throughout the event at Stand P15. If you manage, operate, invest in or develop large property portfolios and want to talk about turning property operations into actionable intelligence, come and find us. Or book some time with me through the event app. See you in London. 👋 #PropTechConnect #PropTech #CommercialRealEstate #PropertyManagement #FacilitiesManagement #AI #PropertyTechnology
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Roman H. liked thisRoman H. liked thisCulture Index, Post 4 — Conformity: two community managers, one new pricing policy Corporate rolls out a new concession policy on Monday. Two community managers get the same memo. Priya follows it to the letter. Every concession matches the policy, every approval is documented, every file would pass an audit. Her occupancy climbs slower than the region wants. Sam fills the building. He freelances concessions, waives fees to close, makes the deal work in the moment. His occupancy leads the region. His files are a mess and his concessions are different for every applicant. The regional loves Sam's numbers and calls Priya too rigid. Then legal flags Sam's inconsistent concessions as fair housing exposure, and the picture flips. Both managers are doing what they are wired to do, and both ends of that wiring carry a cost. A leader who knows which is which can place them well. Put the rule-follower where compliance and documentation carry the risk. Put the deal-maker where the market rewards speed, with limits that keep concessions consistent. Do that and the same two people give you the occupancy and the clean audit. Seeing this early, before it lands in a fair housing file, is most of the work. Culture Index is how I help leaders do it. If that would help your team, I am glad to walk you through it. #CultureIndex #Leadership #Hiring #MultifamilyOperations #FractionalCOO
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Roman H. liked thisRoman H. liked thisMost digital transformation budgets get spent on the platform before anyone's clear on which workflow it's supposed to fix. That order is usually backwards, and it's the difference between transformation that pays for itself and a tool nobody adopted. The teams that actually see the numbers move start from a workflow that's already costing them — lead response time for a brokerage, the gap between a maintenance request and a work order for a property manager, the monthly scramble to reconcile portfolio numbers for CRE. They measure it before touching anything, fix that one thing, prove it, then fund the next. The part that eats the budget is rarely the interface. It's connecting an MLS feed, a PMS, and a CRM so they agree on the same record — and a dashboard built on top of data that's never been reconciled looks authoritative right up until someone checks it against reality. Know which workflow is costing you the most, but not sure where to start? Let's map the shortest route to fixing it. #ORIL #PropTech #RealEstateTech #DigitalTransformation
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Roman H. liked thisRoman H. liked thisI wish I could like this video 1000 times. Say it with me: “Rent Control doesn’t lower prices. It hurts the very people it is intended to protect.” https://lnkd.in/gFUwdbHH
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Roman H. liked thisRoman H. liked thisBig day in Shovels-land yesterday! We launched another Shovels-native dataset in our newly-rebuilt web application. We now have Properties, sourced entirely by us, tied to permits and contractors. In one query you can identify properties that are: - Residential - In Sonoma County - Valued at more than $500K - Never had a roofing permit (or solar or HVAC etc etc etc) It's the last point that's awesome and new. Find homes without certain permits, complete with our new trust scoring system so you know what to believe (no roofing permit because no coverage? Not enough permit detail? We surface this now!) Decisions land in Shovels Online in September!
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Roman H. reacted on this3 weeks to go! Can't wait for the energy PropTech Connect always brings. We'll be at Booth S45 both days - see you there.Roman H. reacted on thisWe’re heading to PropTech Connect in London 🇬🇧 On September 9–10, the ORIL team will be at one of Europe’s key real estate technology events — bringing together real estate leaders, technology companies, investors, and innovators shaping the future of the built environment. We’re looking forward to conversations around the things we work on every day: PropTech product development, data, AI, integrations, and digital transformation — and, just as importantly, hearing what challenges and opportunities are top of mind for the industry. You’ll find us at Booth S45. Come by to exchange ideas, share insights, or talk through a technology challenge you’re working on. Going to PropTech Connect? Let’s meet! #PropTechConnect #PropTech #RealEstateTechnology #RealEstateTech #DigitalTransformation #AI #Data #ProductDevelopment #ORIL
Experience & Education
Projects
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Resentient
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Tech/Game/Robotic strartup that combines innovative technologies real life and games.
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Parity
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As Parity’s software development partner, we implemented key features of their innovative HVAC optimization solution,significantly cutting energy consumption and costs for apartment buildings. The solution automated real-time adjustments, reducing manual intervention and ensuring resident comfort. This value was reflected in detailed user reports and positive testimonials.
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Rentometer. Rental Data Platform
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ORIL developed a simple stand-alone web application for real estate market research that connects to the main API and allows quick analysis of the whole address batch. It can be easily incorporated into the webpage and offers a convenient flow to users.
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Robins & Morton: PlusDelta and Construction Innovation Dashboard
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The Innovation Dashboard has significantly improved collaboration at Robins & Morton by making it easier for teams to share ideas, insights, and experiments. ORIL’s software development expertise ensured seamless integration with existing systems, delivering a user-friendly experience. Managers now have a reliable tool to efficiently oversee and coordinate multiple innovation projects and initiatives more efficiently. The positive feedback from internal stakeholders reflects how ORIL’s…
The Innovation Dashboard has significantly improved collaboration at Robins & Morton by making it easier for teams to share ideas, insights, and experiments. ORIL’s software development expertise ensured seamless integration with existing systems, delivering a user-friendly experience. Managers now have a reliable tool to efficiently oversee and coordinate multiple innovation projects and initiatives more efficiently. The positive feedback from internal stakeholders reflects how ORIL’s technical expertise has played a crucial role in advancing the company’s innovation efforts.
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