AI Integration & Chatbots for Manufacturing
LLM-powered products and intelligent agents. Engineered for Manufacturing.
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 delivers industrial and manufacturing software - from MES and ERP integrations to IoT-powered predictive maintenance and Industry 4.0 dashboards. We engineer for environments where uptime, safety, and physical-world consequences matter.
When IRPR.io builds ai integration & chatbots for Manufacturing organizations, we bring both the deep technical craft of our global engineering team and a working understanding of Manufacturing-specific realities: Legacy system integrations (SAP, Oracle, custom MES), IoT device fleet management and OTA updates, Real-time OEE dashboards and anomaly detection. Every engagement we run in the Manufacturing space is compliance-aware from day one, with ISO 9001, ISO 27001, SOC 2 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.
Engineered to ship.
Not just wrappers
We don't ship thin ChatGPT wrappers. We build products where AI is one layer in a real architecture.
Eval-first mindset
Every AI feature ships with an evaluation harness so you can measure regressions, not hope.
Real production experience
We've shipped AI to millions of users - we know what breaks at scale.
The challenges we design around.
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.
Legacy system integrations (SAP, Oracle, custom MES)
Legacy system integrations (SAP, Oracle, custom MES). 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.
IoT device fleet management and OTA updates
IoT device fleet management and OTA updates. 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.
Real
Real-time OEE dashboards and anomaly detection. 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.
Safety
Safety-critical workflows and audit trails. 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.
Supply
Supply-chain visibility across tiers. 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.
Concrete builds, not slideware.
Patterns we've shipped to production — not capabilities we'd be willing to try. Every entry below has at least one engagement behind it.
MES / ERP modernization and integrations
Where ai products meets mes / erp modernization and integrations: shipped patterns, regulated by Manufacturing workflows, with the audit trail and operational telemetry your team needs from day one.
Predictive maintenance with IoT + ML
Where ai products meets predictive maintenance with iot + ml: shipped patterns, regulated by Manufacturing workflows, with the audit trail and operational telemetry your team needs from day one.
Quality-control and inspection software
Where ai products meets quality-control and inspection software: shipped patterns, regulated by Manufacturing workflows, with the audit trail and operational telemetry your team needs from day one.
Supply-chain visibility platforms
Where ai products meets supply-chain visibility platforms: shipped patterns, regulated by Manufacturing workflows, with the audit trail and operational telemetry your team needs from day one.
Factory operations dashboards
Where ai products meets factory operations dashboards: shipped patterns, regulated by Manufacturing workflows, with the audit trail and operational telemetry your team needs from day one.
Audit-ready by architecture.
Controls designed into the system from the architecture phase — first-pass audits are the norm, not the exception.
Quality-management discipline that survives audit and supports continuous-improvement workflows.
Information-security management aligned to a real ISMS — controls, evidence, and management review built in.
Trust-services controls baked into your SDLC so audits become a reporting exercise, not a fire drill.
ITAR (when applicable) requirements designed into the architecture rather than bolted on at audit time.
Hand-off, not just hand-over.
Every engagement ends with a working codebase, runbooks, and a team trained to operate it. No undocumented black boxes.
- MES / ERP integration map01
- Edge / device fleet OTA-update runbook02
- Production codebase + infrastructure-as-code03
- Staging and production environments with parity04
- CI/CD pipeline with automated tests and rollback05
- Observability stack (logs, metrics, traces) wired in06
- Architecture documentation and runbooks07
- Knowledge-transfer sessions with your engineering team08
Idea → Roadmap → Product → Release.
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.
Questions worth answering.
Let's turn your idea into a release.
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.