Pipelines, dashboards, and decision tooling. Engineered for Healthcare.
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 compliant, clinician-friendly software for healthcare organizations - from digital-health startups to hospital systems and payers. We design, engineer, and deploy platforms that are HIPAA-ready by default, integrate cleanly with EHRs and claims systems, and meet the operational realities of a regulated, high-stakes environment.
When IRPR.io builds data & analytics for Healthcare organizations, we bring both the deep technical craft of our global engineering team and a working understanding of Healthcare-specific realities: HIPAA and PHI handling across every layer of the stack, Interoperability with EHRs (Epic, Cerner, athenahealth) via FHIR / HL7, Consent, audit trails, and provable access controls. Every engagement we run in the Healthcare space is compliance-aware from day one, with HIPAA, HITECH, SOC 2 Type II 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.
HIPAA and PHI handling across every layer of the stack. 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.
Interoperability with EHRs (Epic, Cerner, athenahealth) via FHIR / HL7. 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.
Consent, audit trails, and provable access controls. 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.
Clinician burnout - software must reduce clicks, not add them. 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.
Reimbursement complexity, claims, and prior authorization flows. 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 patient portals and mobile apps: shipped patterns, regulated by Healthcare workflows, with the audit trail and operational telemetry your team needs from day one.
Where data meets telehealth and remote-care platforms: shipped patterns, regulated by Healthcare workflows, with the audit trail and operational telemetry your team needs from day one.
Where data meets clinician workflow tools (ehr integrations, charting): shipped patterns, regulated by Healthcare workflows, with the audit trail and operational telemetry your team needs from day one.
Where data meets claims and revenue-cycle software: shipped patterns, regulated by Healthcare workflows, with the audit trail and operational telemetry your team needs from day one.
Where data meets clinical trial and research data platforms: shipped patterns, regulated by Healthcare 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.
Protected Health Information handled correctly across storage, transport, and access — no shortcuts, no after-the-fact remediation.
Breach notification, audit-ready logging, and patient-data control wired into the architecture from day one.
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.
Common security framework controls mapped to your existing audit obligations to reduce duplicated effort.
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.