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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

RagaAI stands out as the premier AI testing platform, empowering businesses to minimize risks associated with artificial intelligence while ensuring that their models are both secure and trustworthy. By effectively lowering AI risk exposure in both cloud and edge environments, companies can also manage MLOps expenses more efficiently through smart recommendations. This innovative foundation model is crafted to transform the landscape of AI testing. Users can quickly pinpoint necessary actions to address any dataset or model challenges. Current AI-testing practices often demand significant time investments and hinder productivity during model development, leaving organizations vulnerable to unexpected risks that can lead to subpar performance after deployment, ultimately wasting valuable resources. To combat this, we have developed a comprehensive, end-to-end AI testing platform designed to significantly enhance the AI development process and avert potential inefficiencies and risks after deployment. With over 300 tests available, our platform ensures that every model, data, and operational issue is addressed, thereby speeding up the AI development cycle through thorough testing. This rigorous approach not only saves time but also maximizes the return on investment for businesses navigating the complex AI landscape.

Description

Simplify your MLOps pipelines. ZenML allows you to manage, deploy and scale any infrastructure. ZenML is open-source and free. Two simple commands will show you the magic. ZenML can be set up in minutes and you can use all your existing tools. ZenML interfaces ensure your tools work seamlessly together. Scale up your MLOps stack gradually by changing components when your training or deployment needs change. Keep up to date with the latest developments in the MLOps industry and integrate them easily. Define simple, clear ML workflows and save time by avoiding boilerplate code or infrastructure tooling. Write portable ML codes and switch from experiments to production in seconds. ZenML's plug and play integrations allow you to manage all your favorite MLOps software in one place. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Google Cloud Platform Yes 
TensorFlow Yes 
ARGO No 
Amazon SageMaker No 
Azure Databricks No 
Feast No 
GitHub No 
GitLab No 
Great Expectations No 
KServe No 
Lambda No 
Llama 3 No 
Llama 3.1 No 
Llama 3.2 No 
OpenAI No 
Pillow No 
Prodigy No 
Seldon No 
Weights & Biases No 

Integrations

Amazon Web Services (AWS) Yes 
Google Cloud Platform Yes 
TensorFlow Yes 
ARGO Yes 
Amazon SageMaker Yes 
Azure Databricks Yes 
Feast Yes 
GitHub Yes 
GitLab Yes 
Great Expectations Yes 
KServe Yes 
Lambda Yes 
Llama 3 Yes 
Llama 3.1 Yes 
Llama 3.2 Yes 
OpenAI Yes 
Pillow Yes 
Prodigy Yes 
Seldon Yes 
Weights & Biases Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

RagaAI

Country

United States

Website

raga.ai/

Vendor Details

Company Name

ZenML

Founded

2021

Country

United States

Website

zenml.io

Product Features

Machine Learning

Deep Learning Yes 
ML Algorithm Library No 
Model Training Yes 
Natural Language Processing (NLP) Yes 
Predictive Modeling Yes 
Statistical / Mathematical Tools No 
Templates Yes 
Visualization Yes 

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