Factory Automation and Physical AI

Rather than adding equipment, cameras, PLCs and robots as isolated improvements, we start with automation and physical AI that can be tested in your current process. The aim is to reduce inspection workloads and stabilize operations, not simply to create a demo environment.

Connect equipment, inspection and robots in one workflow.

We connect inspection, robots and existing equipment data to reduce staffing requirements and missed defects together. Our aim is not to create a demo environment. We examine where people are held up in the process before defining what to connect.

Factory automation and equipment integration

We connect data from PLCs, sensors and existing equipment to improve visibility and reduce staffing requirements.

Visual inspection

AI cameras detect defects to reduce inspection workloads and missed defects.

Robot systems integration

We support robot-arm installation, control and integration with peripheral equipment.

From today's processes to the next workplace implementation.

We distinguish between measures that help current lines, such as visual inspection and digital kanban, and future implementations such as digital twins and humanoid robots.

Digital twins

We reproduce equipment and processes digitally to accelerate validation of improvements.

Digital kanban

We digitize paper instructions to make progress and inventory flows visible.

Bin picking

We use robots and image recognition to help identify and pick randomly placed parts.

AR / VR

We overlay information visible in the workplace to support work instructions, training and remote assistance.

Humanoid robots and physical AI

We support research, proofs of concept and implementation studies for AI that operates in physical spaces.

Sensor integration

We collect temperature, vibration, position and other data for anomaly detection and maintenance.

Test small, and verify on real equipment.

We do not ask you to make investment decisions from concept diagrams alone. We assess accuracy and operational workload with real data and equipment, then implement the solution, including safety and peripheral equipment integration.

  1. Workplace assessment

    We review processes, equipment and constraints to identify what can be automated.

  2. Proposed approach

    We define the combination of cameras, robots, PLCs and existing equipment.

  3. PoC

    We assess accuracy and operational workload with real data or equipment to inform your implementation decision.

  4. Implementation

    We implement the solution, including peripheral equipment, safety and connections to existing systems.

  5. Adoption

    We adjust the solution to how your teams work, helping stabilize inspection and operations.

  6. Maintenance and expansion

    We continue supporting process changes and subsequent automation initiatives.

Frequently Asked Questions

Can we automate while retaining existing equipment?
We review existing PLCs, sensors and equipment specifications, then connect and automate only the necessary scope. We consider approaches suited to your workplace without assuming complete replacement.
What does a proof of concept assess?
Using real data or equipment, we assess inspection accuracy, cycle times and operational workload. We also identify the conditions for production deployment and remaining issues at this stage.
Can you also handle safety measures and peripheral equipment integration?
Yes. We review personnel movement, stop conditions and signal integration with peripheral equipment, then define the implementation scope across mechanical, electrical and software systems.

Inspection, robots and equipment integration: start where you can test in your workplace.

We discuss your processes and equipment and propose a suitable proof-of-concept scope.