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Gerdau seeks computer vision/AI Startups

Deadline: December 15, 2019
Gerdau, a large iron & steel company,  is looking for startups in Computer Vision and AI for Industry 4.0.  They need to monitor with computer vision and AI/ML  in the following use cases:
 
1) Use of PPE (Personal Protective Equipment) inside industrial facilities.
 
2) Go / no Go areas – high risk areas should be monitored and if a person passes or crosses the no go zone the system should send an alert to the safety person on the shift.
 
3) Truck count and cycle times – to monitor total time inside our facilities and cross check with scale truck count.
 
4) Product download and up load count and classification on the dock side of the ship and warehouse.
 
Gerdau eager for new technology and had good partnership convos with MIT startups and a good contact and process for working with startups.   They are good in providing feedback/follow-ups and has a venture arm. 
 

In your response, please 

  • Explain concisely what you offer
  • Your match with the company above and their interest
  • Relevant usecases / customer stories 
  • Your availability for meeting, see above. 
 
More on Gerdau
Gerdau S/A is among the 15th largest steel producers in the world. Gerdau is the largest long steel producer in the Americas and a very relevant player in the special steel segment, supplying the automotive and oil and gas sectors among others. The company has 30.000 full time employees, presence in more than 10 countries, turnover of USD 12 B in 2018 and market cap of USD 6.8 B. Gerdau is listed in the NYSE and Madrid. The company is also known by its environmental projects and as the largest metal recycler in the Americas. Since 2012 Gerdau has been heavily investing in Digital Solutions, primarily in the industrial processes and further integrating commercial, logistics, IT and other areas. Since the inception of the Gerdau Silicon Valley Office, the company has engaged with more than 7 startups and in implementing POC and MVP in different geographies.
Deadline: December 15, 2019
Posted on: September 28, 2018
Key Words:
AI, welding, computational imaging
Gerdau, a large iron & steel company,  is looking for startups in Computer Vision and AI for Industry 4.0.  They need to monitor with computer vision and AI/ML  in the following use cases:
 
1) Use of PPE (Personal Protective Equipment) inside industrial facilities.
 
2) Go / no Go areas – high risk areas should be monitored and if a person passes or crosses the no go zone the system should send an alert to the safety person on the shift.
 
3) Truck count and cycle times – to monitor total time inside our facilities and cross check with scale truck count.
 
4) Product download and up load count and classification on the dock side of the ship and warehouse.
 
Gerdau eager for new technology and had good partnership convos with MIT startups and a good contact and process for working with startups.   They are good in providing feedback/follow-ups and has a venture arm. 
 

In your response, please 

  • Explain concisely what you offer
  • Your match with the company above and their interest
  • Relevant usecases / customer stories 
  • Your availability for meeting, see above. 
 
More on Gerdau
Gerdau S/A is among the 15th largest steel producers in the world. Gerdau is the largest long steel producer in the Americas and a very relevant player in the special steel segment, supplying the automotive and oil and gas sectors among others. The company has 30.000 full time employees, presence in more than 10 countries, turnover of USD 12 B in 2018 and market cap of USD 6.8 B. Gerdau is listed in the NYSE and Madrid. The company is also known by its environmental projects and as the largest metal recycler in the Americas. Since 2012 Gerdau has been heavily investing in Digital Solutions, primarily in the industrial processes and further integrating commercial, logistics, IT and other areas. Since the inception of the Gerdau Silicon Valley Office, the company has engaged with more than 7 startups and in implementing POC and MVP in different geographies.

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