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    Episode #1: Our Story
    Episode #2: Our Startup Culture
    Episode #3: Industrial AI
    Episode #4: Industrial Routine Management
    Episode #5: The World of Startups, Part I
    Episode #5: The World of Startups, Part II
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Artificial Intelligence for Industry

The industry of the future is agile, predictable, modern, and efficient. Our goal is to accelerate the technological leap in in industries across various sectors, using artificial intelligence to predict the future. 

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Ally, IndustriALL's artificial intelligence platform, offers customized, intelligent solutions that address complex problems.

In an increasingly digitized sector where the volume of data generated is constantly growing, Ally operates across a wide range of industries, providing solutions that generate insights and add predictability to processes, thereby supporting decision-making, reducing costs, and fostering the development of new technologies in Brazil.

More information about Ally

Variable Prediction

Event Prediction

Process Optimization

Custom Requests

Eldorado
Samarco
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Uisa
vale
Klabin
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Cases

AI Applied to Industrial Processes

with proven results!

Select a case study below to learn more

Maintenance: Optimizing the Work Order Schedule
Just like anywhere else—but especially in industry—time is money. Optimizing processes is essential for increasingefficiencyandproductivity. 
 
Developing maintenance schedules with efficient task planning is one of the major challenges in the industrial sector.
 

In the case of maintenance schedules, after registering resources and setting priorities, you submit the backlog of maintenance orders, and Ally returns an optimized schedule ready for execution, saving timeand reducingthe workload!

>> Watch the case study video here!

Paper and pulp: prediction of the Kappa variable
The Kappa number is the most critical variable in the pulp production process. If the pulp has a Kappa number higher than desired, chemicals must be added to improve the properties that determine pulp quality, which increases production costs.
 

Using artificial intelligence, we are able to predict the Kappa number hours in advance to aid in decision-making, providing greater control over the process and sufficient time for operational adjustments.

>> Watch the case study video here!

Mining: Predicting Furnace Jamming in a Coking Plant
If you work at a steel mill, you probably understand the challenges faced in day-to-day industrial operations, especially in the coke plant. We know that major problems can arise when removing coke from the coke oven batteries, such as jamming or excessive strain on the unloading machines.
 
By using artificial intelligence, we are able to predict these undesirable events to aid in decision-making, reduce production downtime, and prevent risks to personnel.
 
>> Watch the case study video here!
  • Maintenance: Optimizing the Work Order Schedule
  • Pulp and Paper: Prediction of the Kappa Variable
  • Mining: Predicting Coking Oven Jamming

Ally is IndustriALL's artificial intelligence system. Developed by professionals with expertise in both data science and industrial processes, Ally operates in various areas relevant to daily industrial operations.

Artificial Intelligence specialized in industrial processes that delivers real results! 

Select a case from the list below to learn more

Just like anywhere else—but especially in industry—time is money. Optimizing processes is essential for increasingefficiencyandproductivity. 
 
Developing maintenance schedules with efficient task planning is one of the major challenges in the industrial sector.
 
In the case of maintenance schedules, after registering resources and setting priorities, you submit the backlog of maintenance orders, and Ally returns an optimized schedule ready for execution, saving timeand reducingthe workload!

Select a case from the list below to learn more

The Kappa number is the most critical variable in the pulp production process. If the pulp has a Kappa number higher than desired, chemicals must be added to improve the properties that determine pulp quality, which increases production costs.
 

Using artificial intelligence, we are able to predict the Kappa number hours in advance to aid in decision-making, providing greater control over the process and sufficient time for operational adjustments.

Select a case from the list below to learn more

If you work at a steel mill, you probably understand the challenges faced in day-to-day industrial operations, especially in the coke plant. We know that major problems can arise when removing coke from the coke oven batteries, such as jamming or excessive strain on the unloading machines.
 
By using artificial intelligence, we are able to predict these undesirable events to aid in decision-making, reduce production downtime, and prevent risks to personnel.

Select a case from the list below to learn more

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Video Cast

Learn More in a Different Way

All About AI

In this episode, we introduce the topic of Artificial Intelligence, then delve into more technical concepts, and finally discuss AI in various industries.

Industrial Operations Management

In this episode, we explore the topic of Industrial Routine Management, sharing a bit about how we operate in this area and explaining its importance in the industry.

Our History

Learn about the history of the startup IndustriALL—which originated as a spin-off—and find out more about its mission to bring industries into the future.

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The industry of the future is agile, predictable, modern, and efficient. Our goal is to accelerate the technological leap in in industries across various sectors, using artificial intelligence to predict the future. 

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About Us

  • History
  • Blog

Soluções para Indústria

  • Ally - Artificial Intelligence
  • The iALL Platform
  • Industrial Operations Management
  • iOptimum - Manutenção Industrial

Cases

  • Paper and Pulp
  • Mining and Metals
  • Schedule Optimization
  • Artificial Intelligence

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