Your factory is missing one layer.
So is your career.
Become an Industrial Data Engineer. One program, two parallel tracks — biweekly workshops build the AI Data Layer (Connect → Distribute), a micro-learnings library builds the engineer (Docker · SQL · Python · APIs · pipelines · warehouse · AI). Open source, €8/month VPS, no CS degree required.
€49/month · cancel anytime · launch workshop 5 June 2026
The bridge between OT and IT, in OT-language
From PLC engineer to Industrial Data Engineer
The Industrial Data Engineer is the role that lives in the intersection — the polyglot OT engineer who can connect, contextualize, and distribute their factory's data. That's who you become.
The 7-step build (Connect → Distribute) is how you get there.
One open layer. Every system connected.
PLC · SCADA · Historian · MES · ERP. The Industrial Data Platform connects, contextualizes and signs your production data — so AI can finally act on it.
Connect · Contextualize · Distribute · Solve
Built by OT engineers, for OT engineers
Hands-on roots in Siemens PLC/SCADA, historians and DCS. Now building the missing AI data layer for system integrators.
From raw data to AI-ready information
Sound familiar? This is why factory AI projects fail — and how to fix it
The Problem
TIC-001 = 67.3 — your historian stores this every second. Nobody knows what it means.
Your AI project fails because your data has no context — just numbers without structure
AVEVA Connect costs €40,000/year for what's essentially a JSON model
Every client is a new project — no reusable framework, no structured data layer
Your dashboards show data. Not information. Not insight. Not action.
The Solution
Build the AI Data Layer — give every data point context, structure, meaning
ISA-95 model in JSON — semantic layer built in hours, not months
Open source stack for €8/month — same result, no vendor lock-in
Reusable IDP framework — deploy at every client in less than 1 hour
Raw data → Information → Insight → Action — the complete ladder
Build the AI Data Layer your factory needs
Seven steps from raw sensor data to AI-ready information. Open source. No vendor lock-in.
⭐ Step 3: Model — The Missing Layer
Build the ISA-95 semantic model that gives every data point context. This is the layer AVEVA charges €40K/year for. You build it yourself in JSON.
Step 1 & 2: Connect + Condition
Connect your PLCs via OPC-UA, MQTT, or Modbus. Condition your data: engineering units, timestamps, quality flags.
Step 4 & 5: Store + Orchestrate
Store time-series data in MongoDB. Orchestrate automated pipelines — interval-based and event-driven. Data flows without manual intervention.
Step 6: Visualize
Build Grafana dashboards that show information, not just data. AI-ready context means your dashboards actually make sense.
Step 7: Distribute
Go live on a €8/month VPS with Docker + HTTPS. Same capability as AVEVA Connect. Full ownership, no recurring licence costs.
The Full Stack
OPC-UA · MQTT · MonsterMQ · MongoDB · Grafana · Docker. Vendor-agnostic. Reusable. Deploy at every client in under 1 hour.
These 7 steps are HOW. Solve is WHY.
Solve — raw data triggering a real decision or action — is what makes the layer worth building. Without Solve, you stay trapped in the middle: beautiful dashboards, no ROI. You can build all 7 steps perfectly and still fail if the architecture doesn't flow all the way through to a real decision on the floor.
See the AI Data Layer in action
Watch how raw PLC sensor data gets transformed into structured, AI-ready information. The same layer AVEVA charges €40,000/year for — built with open source tools in hours.
IDP Demo
Live
AVEVA Connect is a symptom — not the problem
Vendor lock-in is a consequence of the missing AI data layer, not the cause. Open source + an ISA-95 ontology makes the vendor choice irrelevant. The calculator below shows the cost of the symptom — not the reason to choose.
Your situation
Founding Member — fixed cost
€49/month · all clients included
Annual savings vs AVEVA
€ 0
€ 0
€ 0
ROI
0%- Deploy at every new client in under 1 hour
- No per-client licence fees — ever
- Full ownership of the stack
- 5 clients on one IDP subscription
One program · €49/month · two parallel tracks
Biweekly live workshops build the AI Data Layer. A micro-learnings library builds the engineer. Launch workshop: 5 June 2026. Cancel anytime.
Monthly price
€49
Launch workshop
5 Jun 2026
Cadence
Biweekly
What's inside the program
Live-first, evergreen later. You're not buying recorded modules — you're co-building the AI Data Layer with the other Founding Members, and pulling from the micro-learnings library whenever you need a specific skill.
Biweekly Live Workshops
60-90 min live session every 2 weeks. We build one layer of the AI Data Layer per workshop, CONNECT → DISTRIBUTE.
Micro-learnings Library
7 skill tracks: Docker · SQL · Python · APIs · pipelines · warehouse · AI. OT-anchored, code you can run today.
All Source Files
docker-compose v3, ISA-95 templates, Python scripts, the 55-step capstone build. Yours to keep.
Private Community
Dedicated channel with the other Founding Members. Code review, plant problems, peer feedback.
Outcome: a working IDP on your own VPS
The 55-step capstone build is a practical deliverable — not a multiple-choice exam. The end result is a working Industrial Data Platform deployed to your own €8/month VPS, with the full open-source stack (MonsterMQ, MongoDB, Grafana, FastAPI) running production-grade.
No formal certificate. Your working system is your portfolio piece — the thing you show clients to win the next AI Data Layer project.
€49/month, cancel anytime. Launch workshop opens the program on 5 June 2026.
Ready to build the missing layer?
Download the free 7-step framework and start building your AI Data Layer today. Open source, €8/month, no vendor lock-in — and built so PLC engineers can actually learn the Python, Docker and APIs that go with it.
24
OT engineers in private community
7
Build steps (Connect → Distribute)
12wk
To your working IDP on €8/mo VPS