AI Simulation

Artificial Intelligence

AI Simulation

Today, AI developers are working on an increasingly wide range of business applications in areas including manufacturing, logistics, supply chains, urban transportation, business processes, healthcare, asset management, and more. Yet successfully applying machine learning in business, frequires powerful and realistic virtual environments that enable the risk-free training and testing of new, learning agents.

These environments need to be much more sophisticated than mere collections of images, videos, computer games, or even historical business data. They should also be able to simulate a rich spectrum of system behaviors, including those that have never occurred before, as well as interact with learning agents during the simulation.

Why use simulation for AI?

Mindrops is a market and technology leader in the realm of general-purpose simulation. Mindrops models help AI practitioners in many different practical applications, including:

  • Synthetic Data Generation :
  • Unlimited amounts of relevant, clean, structured, and labeled machine learning, training data for use in supervised learning, analytics and data mining applications — including data not yet experienced or recorded.
  • Neural Network Training:
  • Simulated environments for training learning agents, using deep reinforcement learning architectures in simulations of real-world scenarios. A neural network can work interactively with a simulation model, dynamically reading its state and taking action.
  • Testing AI Models:
  • Test the behavior of your system in a powerful, realistic, and risk-free environment. The behavior of AI systems can be safely explored and analyzed in a simulation model.

How can we help you?

Our team thrives on new projects and challenges. If you have a project in mind that you think we could add value to, then please do get in touch. We would love to hear from you. Please call +91 9555575231 or

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