Where are the biggest AI levers in your machine?

At your machine, the operator determines your customer’s OEE. In 45 minutes, we show you how to deliver that difference digitally with your machine.

  • Higher OEE for your customers
  • Less load on your service team
  • Your best operators’ knowledge is preserved

The AI Operator in two minutes (in German)

In use at companies including:

GEA DMG MORI HUNDT CONSULT

Four dimensions between your best and your weakest shift.

Machine data and AI analysis lead to new PLC parameters, either through approval by a person or directly in Closed Loop

Process optimization

Experienced operators hear a drift coming. Closed-loop AI sees it in the data, recommends the correction and can feed it back to the PLC.

Warning symbol and guided troubleshooting as a checklist

Troubleshooting

When a fault occurs, experienced operators know where to look. Everyone else calls your service team. Guided troubleshooting shortens both.

Operator inputs, tickets, manuals, IoT data and controller error codes flow into a knowledge system that provides answers

Knowledge management

Experience takes years to build and leaves the plant with the people. The AI Operator preserves this knowledge and makes it usable in operation.

Simple operator panel with one guided step and a large confirm button

Operating concept

Today, how confidently someone operates your machine depends on their experience. Guided workflows turn this into a reproducible interaction.

From data point to Closed Loop.

Four layers, one pipeline – brownfield-ready and multi-tenant. Not a PoC that fizzles out, but a stack we have been rolling out in production for years.

  1. Connect

    IoT connectivity: data from controllers and sensors via OPC UA, S7, Modbus or MQTT, with edge preprocessing and virtual sensors.

  2. Store

    Industrial Data Platform: TimescaleDB, PostgreSQL, MQTT broker and asset model, multi-tenant with Keycloak.

  3. Learn

    Operator AI model: regression, classification, reinforcement learning, RAG and drift detection, fed with the knowledge of your best operators.

  4. Act

    Copilot & Closed Loop – a recommendation or setpoint goes back to the PLC, with approval by the operator.

The stack behind the AI Operator

Connectivity in the field

OPC UA, S7, Modbus, MQTT and more. Edge included.

Your platform or ours

We connect to what you already have or deliver the IDP.

Closed Loop with approval

The model suggests, the operator decides.

Two people in discussion at a machine operator panel

Book an initial consultation and find the levers.

Schedule a call

Testimonials

Matthias Wiemann
“With codestryke, we found the perfect match for turning the data from our machines into AI services for our customers.”

How we start.

Four steps from the first conversation to rollout across your fleet. After each step, you decide whether to continue.

Introductory call

You tell us about your machine and your customers. We tell you openly whether and where the AI Operator fits.

90-minute fit check

Including use case identification: together, we find the levers with the biggest impact on your customers’ OEE.

Pilot & iterative implementation

The first use case goes into a pilot. More use cases and AI models follow step by step.

Scaling & rollout

The AI Operator goes into series production and out to your customers’ fleets – and keeps evolving.

Ready for the next step? Schedule your fit check. Go to booking

Schedule a first call.

In 30 minutes, we work out where the biggest AI levers in your machine are. Then, in the 90-minute fit check, we identify the use cases together and clarify what a pilot could look like.

  • Use cases with the biggest leverage
  • A clear roadmap from pilot to rollout
  • You own the source code and the platform

Book a call

30 minutes via video. Pick a free slot – the invitation arrives by email right away.

Book a call

Prefer email or phone?

[email protected] +49 (0) 89 21528775

We usually reply within 24 hours.