We build, modernize, and connect real estate software with deep PropTech expertise, user-first design, and business-focused engineering.
Helping real estate go digital since 2015.
Our engineering teams work exclusively in PropTech and real estate, which means every engagement starts with domain context already in place — not a discovery phase spent explaining what a rent roll or a cap rate is. We already understand how the underlying operational processes, data relationships, and business models fit together.
Key issues come up in nearly every first conversation, whether we’re talking to a property manager, a brokerage, or an investment desk. None of them are solved by adding another point tool.
The Problem: Property and transaction data is scattered across MLS, CRM, PMS, and third-party providers.
How We Address It: We build a unified data layer — real-time or scheduled pipelines that connect your CRM, MLS, listing systems, and external data providers into one structured source of truth.
One dataset your team can actually trust.
The Problem: Most “AI in the product” initiatives stall past the demo. Usually because the underlying data is inconsistent, spread across disconnected systems, or simply incomplete — no model can compensate for that.
How We Address It: We build the data infrastructure first, then apply AI to document analysis, lead scoring, and decision support.
AI that survives contact with real data.
The Problem: Without domain expertise, building a PropTech platform means paying to explain the business before building it.
How We Address It: We take products from discovery through design, development, and long-term support, applying PropTech context at every stage instead of a generic build process.
Ideas that reach the market, not just the roadmap.
The Problem: Internal teams are stretched thin, while new features and integrations keep piling up, and hiring takes months.
How We Address It: We plug in as a dedicated engineering team — a full build or an extension of your existing one — so scope doesn’t have to shrink to match headcount.
Roadmap velocity that doesn’t depend on your next hire.
The Problem: Repetitive, rule-based tasks — lease processing, listing updates, approval chains, recurring reports — still eat up staff time every week.
How We Address It: We automate data entry, approvals, and reporting, so people are only in the loop where it matters.
Hours back, week after week.
The Problem: Underwriting, leasing, and listing management still run through spreadsheets.
How We Address It: We build workflow software and automation around your actual process, replacing the spreadsheet layer with software your team can trust.
More done, with a defensible audit trail.
The Problem: Leadership can’t get one accurate view across the business in different systems.
How We Address It: We build reporting and analytics platforms that pull live data across your systems into dashboards built around the metrics your team already tracks.
Risk visible before it becomes a problem.
The Problem: Outdated architecture makes every new integration or feature slower.
How We Address It: We modernize the underlying architecture — or build new — so your platform can take on new data providers, integrations, and AI capabilities without a rebuild each time.
A platform that scales with the business, not against it.
Each of these is built as custom software around your business, your data, and your workflow — not a licensed template with your logo on it. In practice, most of these capabilities work together within the same product ecosystem, rather than as standalone services.
Ground-up product development for listing marketplaces, property management systems, construction management systems, and investment tools, scoped around your business model.
A platform built to fit how the business actually runs.
Rebuilding or extending existing systems so they can support new integrations, users, and data volume without a full rewrite.
A platform that scales with the business, not against it.
Connecting MLS, CRM, PMS, payment systems, and property data providers into one working system instead of several disconnected ones.
Data and workflows that move without manual re-entry.
Structuring owner, equity, mortgage, and market data into complete profiles ready for scoring, targeting, and analytics.
High-equity owners and motivated sellers stop staying hidden.
Applied to document and lease analysis, lead and deal scoring, and workflow automation, wherever the underlying data supports it.
Staff time redirected from data-wrangling to judgment.
Live dashboards tracking performance, financials, and risk across properties, listings, or holdings.
Decisions made on current data, not last month’s export.
AVMs, deal sourcing, and underwriting workflows for teams that need to price and evaluate opportunities faster.
Faster, more consistent deal review.
Connecting sensors and building systems into software that construction and asset teams actually use day to day.
Operational risk caught earlier, not after the fact.
Ground-up product development for listing marketplaces, property management systems, construction management systems, and investment tools, scoped around your business model.
A platform built to fit how the business actually runs.
Rebuilding or extending existing systems so they can support new integrations, users, and data volume without a full rewrite.
A platform that scales with the business, not against it.
Connecting MLS, CRM, PMS, payment systems, and property data providers into one working system instead of several disconnected ones.
Data and workflows that move without manual re-entry.
Structuring owner, equity, mortgage, and market data into complete profiles ready for scoring, targeting, and analytics.
High-equity owners and motivated sellers stop staying hidden.
Applied to document and lease analysis, lead and deal scoring, and workflow automation, wherever the underlying data supports it.
Staff time redirected from data-wrangling to judgment.
Live dashboards tracking performance, financials, and risk across properties, listings, or holdings.
Decisions made on current data, not last month’s export.
AVMs, deal sourcing, and underwriting workflows for teams that need to price and evaluate opportunities faster.
Faster, more consistent deal review.
Connecting sensors and building systems into software that construction and asset teams actually use day to day.
Operational risk caught earlier, not after the fact.
A sample of engagements across data platforms, transaction software, and internal tools in real estate and construction.
General software vendors can write code. Fewer of them already understand a rent roll, a cap table, or why an MLS feed and a CRM disagree on the same address. That gap is where projects slip. Closing it takes both: real domain expertise and solid technical execution — neither one is enough on its own.
Every engineer on a project already speaks the domain — no ramp-up spent explaining real estate fundamentals.
We build around your data, your models, and your workflow, not a configured version of someone else’s platform.
Every engagement is scoped against a business result — faster workflows, cleaner data, better visibility across the business — not a feature list.
We build the data infrastructure AI needs before layering automation on top, so it holds up on real, messy real estate data.
Several of our real estate relationships have run for multiple years and expanded well past their original scope.
Engagements include the product thinking, not just engineering hours — from discovery through long-term support.
If it’s useful to trade notes on PropTech, data, or where AI is actually landing in real estate workflows, we’re glad to keep talking after London.
ORIL shows up regularly at RETCON, CREtech, Blueprint, and RESO. Follow along on LinkedIn for what we’re seeing across the industry.
From product strategy and development to scaling, tap into ORIL’s deep real estate technology expertise to move your PropTech product forward.
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