Manufacturing
Driving smarter production in an industry built on precision
By combining deep manufacturing expertise with advanced AI capabilities, we help manufacturers improve operational visibility & efficiency, and build more resilient production environments. In a sector where precision, uptime, and knowledge define success, AI enables organizations to transform data into real-time insights, reduce waste, and accelerate continuous improvement.
AI will change the manufacturing industry.
Why AI Matters in Manufacturing
The manufacturing industry is under increasing pressure: volatile supply chains, rising material and energy costs, and a growing demand for flexibility. Traditionally reliant on fixed processes and human expertise, manufacturers now need to adopt AI to stay competitive: improving efficiency, reducing waste, and enabling smarter, more scalable production environments.
1. Shift from reactive to predictive maintenance
Challenge:
Unplanned equipment failures cause costly downtime, production delays, and reduced output. Traditional maintenance approaches (based on fixed schedules or manual checks) often result in unnecessary servicing or missed early warning signs. This reactive model limits efficiency and drives up maintenance costs.
How AI helps:
AI enables predictive maintenance by continuously analyzing machine and sensor data to detect anomalies before failures occur. It predicts when components need attention, allowing maintenance teams to act proactively rather than reactively. This minimizes downtime and extends equipment lifespan.
2. Fragmented knowledge and reliance on experienced operators
Challenge:
In manufacturing, critical operational knowledge is often scattered across logbooks, manuals, and the minds of experienced operators. When these employees leave or are absent, knowledge is lost, downtime increases, and management loses visibility.
How AI helps:
AI centralizes and structures knowledge, enabling operators to resolve issues faster, access historical data, and receive real-time answers. This reduces downtime, improves efficiency, preserves knowledge within the organization, and provides management with clearer insights into performance and bottlenecks.
3. Safety challenges in production processes
Challenge:
Many production tasks are repetitive, precise, or hazardous, which can compromise employee safety and lower job satisfaction. Manual processes also limit productivity and consistency, particularly in high-volume environments.
How AI helps:
AI coordinates repetitive or high-risk tasks with collaborative systems ensuring safe and accurate execution. This increases both productivity and quality, while freeing employees to focus on higher-value tasks.
4. Energy and resource waste in production processes
Challenge:
Stricter sustainability targets and rising energy and raw material costs put manufacturers under pressure. Inefficient use of materials and energy drives up costs and increases the ecological footprint.
How AI helps:
AI continuously analyzes machine and process data, identifies waste, and optimizes production settings in real time. For example, it can reschedule energy-intensive steps to cheaper time slots, streamline material flows, and reduce waste.

Strategic Board Member: Richard Mijnheer
With a background in electronics, software development, and artificial intelligence, Richard has held leadership roles at Ericsson, Ascom, ICT Group, and Kendrion. As the founder of 3T, a tech company he sold to Kendrion in 2021, Richard brings valuable expertise in strategic leadership, business growth and manufacturing knowledge.
How we make Change happen
We turn AI ambition into results by combining strategic consultancy with deep technical expertise.
AI Strategy
We identify the highest impact AI opportunities and define the roadmap from ambition to action, based on your business goals.
AI Agents
Our AI Agents are designed to enhance efficiency, productivity and quality for your organization
Custom AI Solutions
From backend engines to AI powered products, we build tailored solutions that streamline processes, or redefine them entirely.
AI Adoption
We guide your teams through change, ensuring AI becomes a trusted technology, not a black box. From interface design to training programs and internal alignment.



