Revolutionizing Ceramic Manufacturing with KAIZEN

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We deliver exceptional design solutions that tell your story and elevate your brand


Years of experience


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Trusted by Industry Leaders

Kale Ceramic Case Study

Optimizing energy use in Kale Ceramics manufacturing.
Our Process

Optimizing energy use in Kale Ceramics manufacturing.

The Problem

Ceramics manufacturing is an energy-heavy industry, with natural gas use makes up for the majority of expenses. Making efficient use of this resource is critical, not only for the companies bottom line, but also to reduce the carbon footprint of the industry. 

The Solution

Data Analysis: Analyzing 12 months of factory sensor data from various production lines revealed significant mismatches between desired system parameters and actual readings, leading to up to 15% increased energy usage during certain periods.


Our models were deployed in the cloud according to the needs of the customer. Integration with the customer’s existing data infrastructure was performed through an automated process.

Our work process

At KAIZEN, we follow a systematic process to deliver optimized AI solutions for our manufacturing clients. Our work takes place across four key phases:


We identify pain points through interviews and a full data inventory and maturity assessment.


We determine the quickest ways to deliver value, set up teams, budget, and define success metrics.


Our experts build custom analytics solutions from the ground up.


We ensure smooth transition to production, monitoring performance and business impact.


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Experienced data science team

Experience in data science and advanced machine learning algorithms. 

Saved millions of

KAIZEN’s AI solutions deliver multimillion dollar cost savings for manufacturers.

Quick setup with your existing data

KAIZEN seamlessly integrates with existing historian data, control systems, and sensors.

Ongoing performance improvements

KAIZEN continually monitors solution performance and fine-tunes models over time.

Experienced Team


With our experience


Data Points Analyzed