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  • Why hAIsten

    Ovecome the challenges of deep learning

    Model training

    Waiting for computing takes most of your time, and 80% of data scientists experience the same challenges as you. You will have more opportunities to test different algorithms and get better predictions if the computing time can be shortened.

    Model deployment

    It is usual to have another 12 to 24 months of work before the model can be deployed and get into production.

  • hAIsten AI: Speed and agility

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    You are able to

    • speed up your model training by 7x, saving 90% of the time for computing, and build your model within 1-2 months; and
    • deploy your model with a low-code platform, with our built-in toolkits for better model inference.

  • How hAIsten Model Training Works

    Train your model in distribution

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    1. Creat project
    An infrastructure-optimized environment is ready for you

    2. Connect to dataset

    Select your datasets

    3. Upload your model

    Upload your models based on Pytorch, Tensorflow or Keras

    4. Pay as you go

    Start to train your model in 7x speed on multi-GPUs

  • Case Studies

    Faster AI development. More real-time insights.

    AI in construction

    Safer working enviroment for workers with AI software

     

    AI in healthcare

    Better medical monitoring for saving lives with AI software

     

    AI in manufactorcing

    Larger scale deployment for defect detection and predictive maintenance

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