Agrobusiness: Brazil is one of the biggest food supplier worldwide and has a huge market for technological products. Brazilian farmers are open to test and invest in new technologies that can improve production, quality and cost. Do you have products or services that might fit this industry here in Brazil and are looking for entering the Brazilian market? Please get in contact with us because we might be able to help you! Count on our expertise to run market experiments, make technical assessments, collect feedback, and more.

Industry: If you are looking for selling industrial equipment in Brazil, we can help you understand and deal with the local regulations, taxation and import process. We can also help you to fit your product/service to the local market/culture, translate documentation, run market experiments, make technical assessments, collect feedback, and more. Get in contact with us. We will be very happy to support you along the process.

Industrial Equipment Support

Do you have a brilliant idea for a product, but it requires you to develop a complex engineering solution? Count on our expertise and our physical structure to develop your product!

We develop and prototype complex and customized technological products. Our creation process is based on requirements engineering and focused on reliability. We use agile methods to achieve more efficient results.

Count on professionals who have more than 15 years of experience in developing solutions for the industry, with practical experience in the manufacture and assembly of software, electronic, electrical and mechanical components.

Our company has an electronics laboratory and manufacturing capacity for precision mechanical components, which facilitates the prototyping process and reduces development time.

At Accore, we help organizations and individuals acquire the necessary knowledge and skillset to embark on the Industry 4.0 and Agro 4.0 transformation journey using IoT, Artificial Intelligence and expert systems. We have training in:

• Artificial Intelligence
  • Supervised Learning and Supervised Learning Techniques: Regression, Classification;
  • Unsupervised Learning and Unsupervised Learning Techniques: clustering, dimensionality reduction, association rules;
  • Reinforcement Learning;
  • Applications.
• Computer vision
  • Optical concepts
  • Segmentation algorithms;
  • Filtering;
  • Applications.
• Internet of Things
  • Fundamental concepts;
  • Software and hardware requirements;
  • Applications.
• Systems engineering