Frequently Asked Questions (FAQs)

General

    • Zastra is an Active Learning-based, E2E enterprise MLOps platform that reduces the time required to label and annotate data to power your business applications, and provides a unified, collaborative environment for managing the entire AI model development, training, and deployment process.
    • Zastra’s key capabilities include Active-Learning based object classification, object detection, localization, and segmentation (coming). We can do this for images, video, audio, text, and point cloud data.
    • Zastra has comprehensive ML-assisted enterprise workflows that bring together disparate teams such as SMEs, Data Scientists, Labeling team, Project Management, ML Engineering, Deployment, and Production so they are collaborating effectively and reduce time-to-market,
    • These capabilities in aggregate provide the world’s first enterprise-grade DevOps platform to manage the computer vision lifecycle (now) and also build enterprise-grade AI-powered applications (in the future).

    A snapshot of what it is:

  • Well, Zastra lets you reduce time and effort, and increase collaboration and effectiveness of the entire AI development and deployment process by providing a unified platform to help resolve data ambiguity, build fast and versatile data pipelines, and supports model training and deployment, while freeing you to focus on your use case(s) that driving business impact.

  • We have different pricing models depending on the need and usage. To give you a rough idea, here are some of the ways:

    • On-Prem Enterprise Usage: This will benefit customer(s) with large scale volume commitments per year. (about 30% of the usage).
    • On-Demand SAAS Usage: This will benefit customer(s) who wants to give it a quick-start with no volume commitments – just set up users, point to the data, and start off. (about 50% of the usage).
    • Annotation as a Service: We take up the end-to-end responsibility of annotation – Get our annotators trained by the client SME etc. (about 20% of the usage).

    We highly recommend you contact us for evaluating all your requirements.

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Technical

  • Yes. It is a cloud-ready architecture.

  • It is mandatory if you wish to use the Active-Learning service with Deep-Learning frameworks. Rest of the segments in the application is not dependent on GPU and Nvidia-driver.

  • Yes, it is possible. The current application supports Amazon s3 (now).

  • . JSON and CSV.