Discover the Potential of Your Process Data.

Reveal new ways to enhance the efficiency and sustainability of your continuous and batch production.

Platform overview

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The Factory Harmonizer impact

+2M€

increased annual production profit

+200K€

new annual energy savings for one production line

<1 year

average payback time

Explore the benefits

Gain real-time, actionable insights that go beyond traditional parameters and past performance, enabling you to minimize disruptions and maximize productivity.

With Factory Harmonizer’s advanced monitoring capabilities, your team will:

Gain a clear view of every aspect of your production, allowing your operators and engineers to make quick, informed decisions.

Identify opportunities to optimize processes and increase your output without compromising quality.

Streamline your workflows with data-driven insights that enhance production efficiency.

Reduce waste, minimize emissions, optimize resource utilization, and showcase progress to key stakeholders, to ensure efficient and responsible production practices.

Harmony

Boost production stability and efficiency by monitoring and identifying process deviations that go beyond your regular check-ups. Made for complex processes.

Cycle

Streamline batch process control with real-time insights into the condition of your batch production. Enhance process efficiency and ensure optimal product quality.

Soft sensors

Generate continuous values for challenging or costly variables such as lab measurements, to save time and resources, and to proactively control your process.

Safety

Enhance safety procedures, meet local safety demands, and gain transparency into process conditions and risks.

Transforming the mining and metals industry: The potential of machine learning and AI

As the world embraces the green transition, the mining and metals industry stands at the forefront of change. With the sector projected to grow at a CAGR of 5.6% from 2024 to 2032, the pressure to boost productivity is intensifying—alongside the urgent need to reduce emissions.

An Introduction to Machine Learning for Chemical Production

Machine learning (ML) is making waves across various industries, and the chemical industry is no exception. As a branch of artificial intelligence (AI), machine learning allows computers to learn from data and improve their performance over time, without explicit programming.