Manufacturing AI, made buildable.
Copilots, autonomous agents, computer vision, predictive analytics — every manufacturing AI capability built and governed in one no-code platform, powered by Machine Learning Studio. So AI ships to production, not just to PoCs.
AI is everywhere — except where it matters most: the shop floor.
Most factories run on data silos and brittle integrations. AI projects stall before they touch a real line. RockQ collapses the gap between a working model and a deployed application — without enterprise-grade IT projects.
Data trapped in silos
MES, ERP, machines and quality systems don't talk. AI without unified data is just a demo.
Brittle integration stack
Custom code between every tool means every change is a rewrite. Nothing scales across plants.
AI that never lands
Months from notebook to operator screen. By the time it ships, the line has moved on.
One stack, three layers.
Connect your data, run AI on it, and put it directly in front of the people who need it. No glue code in between.
Layer 1 — Data
Connectivity for any factory
Vendor-independent ingestion from PLCs, sensors, MES and ERP — unified into a contextualized model.
Layer 2 — Machine Learning Studio
Machine Learning Studio
One studio where every AI capability is built, trained and governed — vision, autonomous agents, predictive analytics and chat-style LLMs. All wired to your live factory data.
Layer 3 — Experience
Where humans meet AI
Conversational data access, dashboards, automated workflows and proactive alerts — for the people who run production.
Domain experts ship AI, not just data scientists.
When the people who know the line can build the app, AI stops being a 12-month project and starts being a Tuesday improvement.
Built by the people closest to the work
Production engineers and quality leads compose AI-powered apps without filing IT tickets.
Iterate at the speed of the floor
Change a rule, retrain a model, redeploy — in minutes, not sprints.
You own the result
No vendor lock-in for your business logic. The platform supports your team — it doesn't replace them.
What you can build, today.
Every capability is built and governed inside Machine Learning Studio. They run standalone or compose into bigger solutions.
What customers see, in production.
10x
Faster from idea to operator screen
From PoC to deployed app in days, not quarters.
100%
Of your factory data, accessible
MES, ERP, machines and quality — one governed semantic layer.
−60%
Lower TCO vs custom builds
Fewer specialists, fewer integrations, fewer projects that drag.
See it on your factory data.
30 minutes with a solution architect — bring a real problem, leave with an architecture and a number.