LLM-powered products and intelligent agents. Engineered for Media.
IRPR.io helps companies integrate modern AI - large language models, retrieval-augmented generation, and autonomous agents - into production software. We specialize in AI products that actually ship: cost-controlled, latency-tuned, observable, and safe for real users.
IRPR.io engineers software for media, publishing, streaming, and creator-economy companies. From subscription platforms to VOD / OTT apps to ad-tech and rights-management systems, we build for an industry where latency, scale, and content-rights complexity collide.
When IRPR.io builds ai integration & chatbots for Media organizations, we bring both the deep technical craft of our global engineering team and a working understanding of Media-specific realities: Video streaming, transcoding, and DRM, Subscriptions, paywalls, and metered access, CMS and editorial workflow at scale. Every engagement we run in the Media space is compliance-aware from day one, with GDPR, CCPA, COPPA 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.
We don't ship thin ChatGPT wrappers. We build products where AI is one layer in a real architecture.
Every AI feature ships with an evaluation harness so you can measure regressions, not hope.
We've shipped AI to millions of users - we know what breaks at scale.
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.
Video streaming, transcoding, and DRM. We design ai products architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Subscriptions, paywalls, and metered access. We design ai products architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
CMS and editorial workflow at scale. We design ai products architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Rights and royalties management. We design ai products architectures that address this directly — at the data model, the access controls, and the operational runbooks — rather than as a post-launch fix.
Ad-tech, brand-safety, and programmatic integrations. We design ai products 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 ai products meets ott / streaming platforms: shipped patterns, regulated by Media & Entertainment workflows, with the audit trail and operational telemetry your team needs from day one.
Where ai products meets digital publishing and cms replatforms: shipped patterns, regulated by Media & Entertainment workflows, with the audit trail and operational telemetry your team needs from day one.
Where ai products meets creator and community platforms: shipped patterns, regulated by Media & Entertainment workflows, with the audit trail and operational telemetry your team needs from day one.
Where ai products meets ad-tech and supply-side platforms: shipped patterns, regulated by Media & Entertainment workflows, with the audit trail and operational telemetry your team needs from day one.
Where ai products meets rights and royalty management: shipped patterns, regulated by Media & Entertainment 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.
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.
Children's online-privacy compliance with verifiable parental consent and minimised data collection.
WCAG 2.2 AA accessibility designed in, audited with assistive tech, and proven via VPAT.
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.