ORIL

The ORIL team is back from Realcomm IBcon 2026 in San Diego — and we're leaving with a lot to think about.

Realcomm IBcon is where the commercial and corporate real estate industry comes to talk about what's actually next — not theory, but real deployments, real challenges, and real solutions.

A few things that stood out for us:
🔸 AI is no longer on the roadmap — it's in production. From building operations to tenant experience, the shift is real.
🔸 Smart buildings are getting smarter fast. The gap between connected infrastructure and actionable data is closing.
🔸 The conversation around scalability is front and center. It's not about whether to adopt — it's about how to move faster.

For us at ORIL, being in that room confirmed what we see every day building custom software for PropTech and real estate clients — the industry is at an inflection point, and the teams that build the right technology foundation now will lead what comes next.

🤝 If you're exploring AI, smart building platforms, data integration, or modernizing real estate technology infrastructure, let's connect and exchange ideas.

Choosing between building custom real estate software and buying an existing solution is rarely just a technical decision — it directly impacts scalability, operations, and long-term flexibility.

In this article, we break down the key factors real estate and PropTech teams should evaluate before making the build vs. buy decision: https://bit.ly/4e0WhOS

Many real estate platforms already have valuable data — the challenge is making analytics a connected part of the product architecture from the beginning.

When reporting and analytics are added later as separate layers, teams often end up with disconnected dashboards, manual reporting workflows, and limited visibility across the platform.

In our latest article, we explore what it means to build a data-native real estate platform — from structuring core data domains (listings, transactions, ownership, behavioral events) to designing systems where analytics scales together with the product: https://bit.ly/3Rclf5b

🚀 We're Hiring at ORIL!
We're growing our team and looking for talented professionals to join us.

Here's what we have open right now:

👨‍💻 Full Stack Engineer (Ruby on Rails, React) https://oril.co/career/10873-2/
🐍 Senior Python Engineer https://oril.co/career/senior-python-engineer-3/
🎨 UI/UX Designer https://oril.co/career/ui-ux-designer/

If any of these roles sound like you — or someone you know — we'd love to connect.

📈 How much of your real estate data is actually usable?

Not stored. Not collected. Usable — as in: filterable, visual, and accessible to the people making decisions every day. For most brokerage and PropTech platforms, the honest answer is: not enough.

ORIL's latest article breaks down why data navigation beats data volume, and how the right visualization layer transforms fragmented CRM, MLS, and listings data into real decision-making tools. Worth a read if you're building or scaling a real estate platform: https://bit.ly/48X6p8v

“ORIL delivers on what they say they will”.
We’re grateful for the feedback from Daniel Sparkman on the collaboration between ORIL and Concierge Auctions.

Building software isn’t just about coding — it’s about aligning with business objectives, simplifying complexity, and delivering efficiently:

🔸 Keep work tightly aligned with real business goals
🔸 Bring clarity when projects get complex
🔸 Deliver without unnecessary iteration cycles

At ORIL, we focus on turning technology into measurable business impact.

Looking for a software partner that combines clarity and ex*****on? Let’s connect 🤝

Accurate property valuation isn’t just about models — it’s about how your data, systems, and workflows come together.

At ORIL, we see the biggest impact when valuation features are built on top of a unified, well-structured real estate data layer — powering everything from listing pricing to lending and investor tools.

In our latest article, we share how PropTech teams approach valuation accuracy today:

🔸 combining AVMs with real-time, high-quality data
🔸 incorporating local market context
🔸 embedding valuations directly into product workflows

The result → more consistent, explainable, and usable pricing across platforms.

How to Get an Accurate Property Valuation in PropTech Explore what makes a property valuation accurate, why online home valuations often differ, and how better real estate data, AVMs, and PropTech software architecture improve pricing decisions for brokerages, lenders, and real estate platforms.

Accurate real estate products don’t happen without strong data behind them. And the collaboration between ORIL and The Warren Group is a great example of how the right data partner can make a difference.

The Warren Group delivers extensive real estate and mortgage datasets across the U.S., covering transactions, ownership, and lending activity, giving businesses the clarity they need to understand the market.

At ORIL, we take that data and turn it into practical, scalable PropTech solutions that support real business use cases, such as:

🔸 Data-driven real estate platforms
🔸 Market analytics and visualization tools
🔸 Property and transaction data pipelines
🔸 Investment decision support systems
🔸 Tailored SaaS products for real estate teams

🤝 While The Warren Group ensures the depth and reliability of data, ORIL focuses on building the technology that brings it to life.

If you're working on a real estate product and need both data and ex*****on — let’s talk.

🤖 The biggest shift in AI right now isn’t better chatbots. It’s the move from AI that talks → to AI that acts.

Over the past two years, AI mostly functioned as a copilot, answering prompts and helping with tasks. In 2026, we’re entering the Agentic AI era: systems that can plan, execute, and complete multi-step work across software tools. Instead of telling software how to do something, teams increasingly describe the outcome they want, and AI handles the steps. This shift is changing how digital products are built and how teams interact with software.

👇 In the slides below, we break down the key changes shaping this transition from multi-agent workflows to natural-language development and the infrastructure enabling it.

For companies building digital platforms, the question is no longer whether to integrate AI, but how systems should be designed to collaborate with autonomous agents.