ORIL

The deal closes. The data integration problem begins.
🏘 A real estate acquisition can bring a second CRM, PMS, ERP, MLS feeds, property IDs, client records, and reporting logic — all describing the same business differently.
Connecting those systems isn’t enough; the combined business needs a shared data model, resolved entities, normalized data, and governed reporting to create one reliable view of the portfolio.

In our latest article, we break down how real estate companies can approach post-M&A data integration — and build a foundation that can support the next acquisition too.

&A

Post-M&A Data Integration: A Guide for Real Estate Companies Learn how real estate companies consolidate CRM, PMS, ERP, and MLS data after an acquisition using data mapping, canonical models, entity resolution, and governed analytics.

The ORIL team is back from Blueprint Vegas 🚀
A few days of conversations across the built world — from new products and startups to property operations, homebuilding, multifamily, and companies figuring out what to do with systems that have been around for years.

One takeaway we’re leaving with: technology conversations are becoming much more practical. The interesting questions weren’t only “What can this technology do?”
They were:
🔸 Where does it actually fit into the business?
🔸 What needs to change underneath it?
🔸 Can the team support it after launch?
🔸 What happens when you need to scale it across more properties, users, or markets?

That applies whether you’re starting something from scratch or trying to modernize a platform that has been running for years.

Thanks to everyone who stopped by, shared what you’re working on, and had the honest conversations that rarely make it into a pitch deck.

Your listings can be everywhere — and still lose customer trust.

📊 🏢 When the same property shows different prices, availability, or fees across channels, the problem isn’t just data quality; it can affect inquiries, operations, and how customers trust the platform.

The competitive advantage is not simply distributing listings faster — it’s building the data architecture that keeps them consistent across every channel and ready for analytics and AI.

👨‍💻 We break down what that takes in our latest article — link in the comments.

The interesting part of PropTech isn't always what's being built. It's what's getting in the way.

In conversations with PropTech teams, our team keeps hearing the same themes:
🔸 Legacy systems slowing down new initiatives
🔸 Data scattered across platforms and providers
🔸 Internal processes that make simple things take too long
🔸 Pressure to “add AI” without a clear product use case
🔸 Good ideas struggling to become reliable, scalable products

From our side, one thing stands out: the biggest bottleneck is rarely a single technology problem. More often, it’s the connections between systems, data, product decisions, and internal workflows. That’s where we see the most value in getting the technology foundation right before adding another layer of complexity.

What’s slowing down your PropTech roadmap right now?

What capabilities does a PropTech SaaS product need to succeed beyond the MVP?

Real estate products need more than a set of features. They need the ability to connect data and systems, support complex workflows, scale with growing users and data, enable analytics and automation, and adapt as the business evolves.

In our latest article, we look at the core capabilities to consider when building a SaaS-based PropTech solution: https://bit.ly/4h16i0e

If your real estate product depends on MLS data, where does your business data actually live?

🏘 MLS is an authoritative source for the listing data it governs — but it was never designed to be the central platform for your customers, transactions, financials, analytics, or AI.

As more systems connect around the MLS, its schema, identifiers, access rules, and release schedule can start shaping your entire product — making integrations harder, reporting less consistent, and new product development slower.

In our latest article, we look at how brokerages and real estate platforms can put a business-owned data layer at the center — connecting MLS with CRM, transactions, financial data, public records, and other sources while keeping the core product independent from any one provider.

👉Read the full article: https://bit.ly/4hcfyNE

MLS Data Architecture: Source System vs. System of Record / Own Your Real Estate Data: MLS as One Source Among Many Why treating MLS as your system of record limits analytics, AI, and product growth, and how a business-owned data platform gives brokerages real ownership.

Happy IT Professionals Day! 💻

Behind every product that works, every system that scales, and every digital experience people rely on, there are people solving problems, making decisions, and constantly learning.

Today is a good excuse to recognize the engineers, developers, architects, QA specialists, analysts, designers, and everyone else who turns ideas into technology that works in the real world.

At ORIL, we’re lucky to work with people who bring curiosity, expertise, and a healthy obsession with solving the hard stuff.

To everyone building what’s next — happy IT Professionals Day! 🚀

Yesterday, ORIL CEO Roman Havrylyuk took the Innovation Stage at PropTech Connect London to talk about a challenge that sits behind many real estate technology initiatives: getting the data right.

In his talk, “Getting Your Data Right to Unlock True Business Value,” Roman explored how strong data foundations can help real estate companies:
🔸 make more confident, data-driven decisions
🔸 connect fragmented data and systems
🔸 build better products and AI solutions
🔸 turn data into measurable business value

One key takeaway: AI can only be as effective as the data and infrastructure behind it. Before adding another AI layer, companies need to understand where their data comes from, how reliable it is, and how it moves through their systems.

Thanks to everyone who joined the session and contributed to the conversation 🤝

Want to explore how better data infrastructure could create value for your real estate product? Let’s talk.