Setup Chariot in minutes and get started with your AI/ML workflows.

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Explore our repository of Chariot features or contribute your ideas.



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Chariot is purpose-built to be portable, scalable, and usable by engineers and business professionals alike. Harness the power of Chariot’s modular architecture to transform data into actionable insights.

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Users can bring in AI models from anywhere and deploy for inference at scale with a single line of code.

Easily deploy inference models to dev, test, and production at scale.

Serverless Inference Engine

Easily view data lineage across components.

Data Catalog

Our data lake can store data from various sources such as Amazon S3, mobile apps, and hardware devices such as sensors.

Data Lake

Suggested annotations from our active learning system reduce time spent manually labeling data and allow models to be trained and deployed faster. Applications include anomaly detection, surveillance, sentiment analysis of social media, and more.

Let the computer suggest annotations so you can spend less time annotating and training and more time deciding and doing.

Active Learning

Our machine learning pipeline lets you build, train, deploy, and version custom models. You can easily integrate it into your existing infrastructure using our SDK and CLI. The UI allows you to view and analyze the performance and training metrics of your machine learning models.

Model Development

Users can upload data in its raw form which gets processed via ETL and stored in our polyglot data warehouse. These transformations, which are performed by the data orchestrator, happen in parallel and can easily be scaled. Our data warehouse has a language-agnostic API, which makes it easy to retrieve data for machine learning analytics.

Data Warehouse

Production-ready ETL/ELT directed acyclic graph based workflows to process and structure data at scale.

Workflow Engine

CHARIOT FEATURES