Pipelines, dashboards, and decision tooling. Engineered for Real Estate.
IRPR.io builds data infrastructure and analytics tooling for product, marketing, and operations teams. From event instrumentation to BigQuery / Snowflake warehouses to ML pipelines and executive dashboards, we make your data a strategic asset - not a backlog.
IRPR.io builds software for real estate operators, brokerages, proptech startups, and commercial real-estate platforms. From MLS-integrated listing experiences to tenant-operations apps and investment analytics, we engineer for an industry where data is messy, stakes are high, and speed-to-close wins.
When IRPR.io builds data & analytics for Real Estate organizations, we bring both the deep technical craft of our global engineering team and a working understanding of Real Estate-specific realities: MLS / IDX / RESO integrations and data freshness, High-fidelity map and geospatial UX at scale, Document-heavy workflows (leases, disclosures, e-signatures). Every engagement we run in the Real Estate space is compliance-aware from day one, with SOC 2 Type II, GDPR, CCPA baked into architecture decisions — not bolted on at the end.
Every engagement runs through our IRPR framework — Idea, Roadmap, Product, Release. Fixed price set in week 2. Senior engineers from kickoff to handoff. No ticket-counting.
Real pipelines with real SLAs - not scripts that break on weekends.
We start from the decision you need to make, then build backward.
Every dataset we ship enables the next one. Your data maturity climbs.
Every sector has its own gravity — the constraints, integrations, and audit pressures that bend a build. We treat them as inputs to architecture, not afterthoughts.
MLS / IDX / RESO integrations and data freshness. We design data architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
High-fidelity map and geospatial UX at scale. We design data architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Document-heavy workflows (leases, disclosures, e-signatures). We design data architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Tenant, landlord, and broker multi-persona UX. We design data architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Valuation models and investment analytics. We design data architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Patterns we've shipped to production — not capabilities we'd be willing to try. Every entry below has at least one engagement behind it.
Where data meets residential listing platforms with mls feeds: shipped patterns, regulated by PropTech workflows, with the audit trail and operational telemetry your team needs from day one.
Where data meets commercial real-estate investment analytics: shipped patterns, regulated by PropTech workflows, with the audit trail and operational telemetry your team needs from day one.
Where data meets tenant portals and property-management apps: shipped patterns, regulated by PropTech workflows, with the audit trail and operational telemetry your team needs from day one.
Where data meets broker crms and transaction platforms: shipped patterns, regulated by PropTech workflows, with the audit trail and operational telemetry your team needs from day one.
Where data meets rental marketplaces: shipped patterns, regulated by PropTech workflows, with the audit trail and operational telemetry your team needs from day one.
Controls designed into the system from the architecture phase — first-pass audits are the norm, not the exception.
Controls operating effectively over time — designed, evidenced, and reviewed without slowing engineering velocity.
Lawful-basis tracking, data-subject rights, cross-border transfer mechanics, and retention enforcement done right.
California consumer privacy controls integrated into product flows, opt-outs, and data-deletion pipelines.
MLS / RESO data licensing handled correctly so your IDX feeds stay compliant.
Every engagement ends with a working codebase, runbooks, and a team trained to operate it. No undocumented black boxes.
What are you actually building — and for whom.
Fixed price, fixed scope, fixed timeline. No surprises.
Senior engineers ship the build — weekly demos.
Production, on-call runbooks, and your team trained.
Tell us what you're building. We'll come back in five days with a roadmap, a fixed price, and a dedicated team ready to ship.