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Industry & IOT

Transform the production data you collect into valuable and actionable insights

Giraffe’s team will collect and analyze the data from your production,
then send recommendations for a better, smarter, and faster workflow.

AI - A New Level of Performance




Environmental Sustainability



More Productivity


Increased Quality

Environmental Sustainability

Preventive Maintenance


Increase productivity, prevent bottlenecks and reduce Costs with AI

Case Study - AI Finds a simple solution to a complicated problem

What caused two similar production lines to have such significant quality differences? The answer was surprising!

Israeli Innovation Authority challenged us with a problem facing a leading food-industry manufacturer – They had two similar production lines, and one of them regularly produced 20% less than the other.

Our first step was to collect all data from the manufacturing process – from raw materials (the type of ingredients used, their source, and temperature), through MES Data, environment (room temperature, humidity, etc.) and other production parameters. Next, we analyzed all the data and after finding the source of the issue, we transformed the insights into action.

Based on the data we gathered, we identified the key factors that influence product quality. The Manufacturing sector can benefit greatly from this knowledge and produce a closer version of the golden batch each time.

They Say YES!

Machine learning (ML) is a branch of artificial intelligence (AI) and computer science, involving the use of data and algorithms to simulate human-like learning, gradually improving its accuracy.

AI is giving manufacturers an unprecedented ability to improve throughput, optimize supply chain
,deploy predictive maintenance to reduce downtime, respond to real-time changes and many more .

AI solutions are now easily implemented in manufacturing processes .By using AI, it is possible to process a large amounts of data from sensors, machines, and people and then apply it to algorithms designed to optimize operations and achieve predictive maintenance.

All Manufacturing plants can use AI solutions to improve their performance. Organizations which already have smart systems based on IoT will find the process much easier. The majority of the machines already generate data – those that don’t can be connected to sensors that will send the data to the main computer.

Today, more manufacturers than ever are leveraging their data to significantly improve their
performance thanks to AI— and particularly and Machine Learning.
Getting a competitive advantage, improving productivity,
preventing downtime, and reducing costs — these are all possible benefits of joining the AI revolution.

Turn Data into action and scale up your results!

Giraffe Data Lab is the elite team of G-STAT, Israel’s leading analysis and machine learning company for 20 years. Our team is comprised of the best minds in the fields of Data Engineering, AI, Data Science and Machine Learning. They all will be happy to work with you and lead you to new heights.

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