LLM-powered products and intelligent agents. Engineered for Education.
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 education technology for K–12, higher-ed, corporate learning, and consumer edtech startups. From LMS platforms to adaptive learning engines and assessment tools, we build for the realities of long content cycles, diverse learners, and institutional buyers.
When IRPR.io builds ai integration & chatbots for Education organizations, we bring both the deep technical craft of our global engineering team and a working understanding of Education-specific realities: LTI, SCORM, and SIS integrations, FERPA and COPPA compliance (K-12), High-concurrency live events (classes, exams). Every engagement we run in the Education space is compliance-aware from day one, with FERPA, COPPA, GDPR 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.
LTI, SCORM, and SIS 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.
FERPA and COPPA compliance (K-12). 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.
High-concurrency live events (classes, exams). 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.
Content authoring and versioning 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.
Adaptive learning and personalized pathways. 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 learning management systems (lms): shipped patterns, regulated by EdTech workflows, with the audit trail and operational telemetry your team needs from day one.
Where ai products meets assessment and proctoring platforms: shipped patterns, regulated by EdTech workflows, with the audit trail and operational telemetry your team needs from day one.
Where ai products meets corporate training and upskilling apps: shipped patterns, regulated by EdTech workflows, with the audit trail and operational telemetry your team needs from day one.
Where ai products meets tutoring and marketplace platforms: shipped patterns, regulated by EdTech workflows, with the audit trail and operational telemetry your team needs from day one.
Where ai products meets adaptive / ai-powered learning tools: shipped patterns, regulated by EdTech 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.
Student educational-record privacy enforced through role-based access and parental-consent flows.
Children's online-privacy compliance with verifiable parental consent and minimised data collection.
Lawful-basis tracking, data-subject rights, cross-border transfer mechanics, and retention enforcement done right.
Trust-services controls baked into your SDLC so audits become a reporting exercise, not a fire drill.
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.