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Striveworks Chariot
Build, Deploy, Monitor, and Audit ML Models at Scale

What is Striveworks Chariot?

Striveworks Chariot is a comprehensive MLOps platform designed to streamline the entire machine learning lifecycle. It empowers organizations to rapidly build, deploy, and maintain models at scale. The platform offers features like a low-code interface and flexible deployment options to minimize time from concept to implementation.

Chariot's focus goes beyond mere model creation; it also offers in-depth monitoring and full auditability of both data and models. This ensures transparency and simplifies the tracking of governance and lineage throughout the AI development process. By integrating these functionalities, Chariot facilitates efficient model management and optimization within existing workflows.

Features

  • Data & Model Auditability: Track governance and lineage with your data, models, and inferences.
  • Low-Code Interface: Build and deploy models rapidly with a user-friendly interface.
  • Flexible Deployment: Deploy models in various environments to fit your needs.
  • Operationalize AI: Embed structured, scalable model development inside your existing workflows.
  • Process as Code: Enables governance and audit on the entire analytics lifecycle.

Use Cases

  • Accelerating ML lifecycle
  • Retraining existing models with new data
  • Bringing multidisciplinary teams together for AI development
  • Improving model governance and auditability

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