Question 1

What is Neptune AI Platform used for?

Accepted Answer

Neptune AI Platform is enterprise MLOps platform for scalable, compliant machine learning lifecycle management. It is commonly used for centralized experiment tracking and versioning, real-time model performance monitoring, collaboration across distributed data science teams, and automated model governance and compliance reporting.

Question 2

Is Neptune AI Platform free, and how is it priced?

Accepted Answer

Neptune AI Platform offers a free tier, with paid plans that add capacity and features.

Question 3

What compliance certifications does Neptune AI Platform have?

Accepted Answer

Neptune AI Platform lists GDPR and SOC 2 compliance, indicating adherence to recognized security and data-handling standards relevant to enterprise procurement.

Question 4

How can Neptune AI Platform be deployed?

Accepted Answer

Neptune AI Platform supports Cloud and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

Question 5

What does Neptune AI Platform integrate with?

Accepted Answer

Neptune AI Platform documents 8 integrations, including TensorFlow, PyTorch, Keras, Scikit-learn, MLflow, and Kubeflow.

Question 6

When was Neptune AI Platform founded?

Accepted Answer

Neptune AI Platform was founded in 2018 and has raised $6.5M in funding.

Question 7

Is Neptune AI Platform enterprise-ready?

Accepted Answer

Based on cataloged data, Neptune AI Platform has an Enterprise Readiness score of 70/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.