Kinta AI developing artificial intelligence system that uses reinforcement learning to study how factories work and make them more efficient through precise deployment of machines

Briefing

Kinta AI developing artificial intelligence system that uses reinforcement learning to study how factories work and make them more efficient through precise deployment of machines

September 12, 2018

Briefing

  • AI Manufacturing System – Artificial intelligence firm Kinta AI using AI to make factories more efficient by knowing right time when to deploy machines, replacing conventional software responsible for late manufacturing orders and scheduling errors
  • Production Planning – AI does production planning for manufacturers, where it manages what machine should be making what product at what minute, hour, and day
  • Factory Customization – Uses reinforcement learning to run millions of factory simulations, that enable system to study how specific factories work and customize right action, such as deploying certain machines in right time and right sequence, to get best results
  • How System Works – Process steps include conducting simulation of factory, training AI, deploying model on premise or in cloud to be used daily
  • Integration Software – Integrates enterprise resource planning (ERP) systems, such as SAP, with machine execution systems like those provided by ABB and Siemens, usually processed by different softwares and company providers
  • Initial Customers – Include chemical manufacturer BASF and undisclosed medical device manufacturer

Accelerator

Business Model and Practices

Business Model
and Practices

Sector

Industrial Manufacturing

Organization

Kinta AI

Source

Original Publication Date

September 7, 2018

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