VESTA : Image tagging platform with progressive automation

You are just a few clicks away from building your own AI.

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Nobody understands better your problems than you and your collabarators

We have created Vesta to let you build AIs that solve your specific image recognition problems.

Our user-friendly interface let any professional with its domain know-how to teach the engine and deploy its APIs.

Open Vesta, choose you tags and start teaching.

Use-cases

  • Defect inspection

    Detect any product defect and ensure quality on your production lines.

  • Content tagging

    Classify your website content by tagging items with tags describing material, shape, color, category.

  • Content quality

    Detect content that doesn't fit your quality and standards with tags such as watermark, weapon, nudes, etc.

Technology

  • Annotate images

    Start by annotating a few of your images. Let your experts deal with this task or let our operators handle that task for you.

  • Train your AI

    In one click, activate deep learning algorithms and see the first results from your trained neural network. Active learning : From now on, the images to annotate are suggested by the platform so that it is optimized to fasten the creation of your AI.

  • Measure your AI performance

    Get a continuous feedback on your AI accuracy and keep annotating until you reach your target performance.

  • Deploy your AI

    When your reach your performance goal, deploy your neural network instantly on the cloud or your infrastructure and use it through an API.

Mini-FAQ

  • How do you ensure the security of our data?

    We ensure that your data is encrypted and safely stored in order to ensure end-to-end security. Our annotation team follows strong security protocols.

    Do you work with embedded systems?

    Our solutions are usually made available with APIs. However, for specific use-cases we can work with our client on embedding our models in their hardware.

  • What's included?

    • 1-month free trial to test Vesta

    • API deployment on GPUs

    • Human-in-the-loop system to ensure accuracy of the system