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Unlock your Process
Potential with
Data-Driven Insights

Manufacturing IQ (MANiQ) optimizes operational processes with advanced analytics and machine learning, embedding improvements directly into control systems to boost efficiency, quality, and productivity.

Data available, opportunities untapped

In many production environments, valuable process data is already available – but turning that data into measurable process improvements remains a challenge. Data is analyzed and dashboards are built, but the step from insights to actual changes in control systems is often missing, leaving opportunities untapped. Solutions can feel disconnected from daily operations, with engineers and operators not fully involved. As a result, outcomes are hard to quantify, projects take time, and the return on investment remains uncertain.

Our method
A structured, hands-on process

Steps to success

1

Quick Scan & Feasibility Check

We start with a no-obligation assessment to understand your operations and identify potential areas for optimization. We include interviews with operators, process technologists and other stakeholders.

2

Process and Data Assessment

Analyse control loops, sensor data, machine parameters, and historical trends to gain a comprehensive understanding of your production process.

3

Data Preparation and Analysis

Clean and structure data, then apply advanced analytics and machine learning to uncover hidden patterns and inefficiencies.

4

Model Development

Create tailored machine learning models for predictive control, quality optimization, or energy efficiency, ensuring transparency and clarity.

5

Control Strategy Design

Translate insights into practical control strategies, such as fine-tuning setpoints or adjusting control logic.

6

Implementation

Collaborate with your technicians to integrate optimized strategies into your automation systems and PLCs.

7

Testing and Validation

Rigorously test new controls in simulations or test setups to ensure safety and effectiveness.

8

Monitoring and Refining

Monitor results and fine-tune models and control logic based on real-time feedback to deliver long-term value.

Projects
We did it before

Projects that speak for themselves

Computer Vision for production line optimisation

Computer Vision for production line optimisation
Local AI agent for production analysis

Local AI agent for production analysis
Optimisation of calibration processes

Optimisation of calibration processes
Reduction in nitrous oxide (N₂O) emissions

Reduction in nitrous oxide (N₂O) emissions

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