Fully interoperable

Snorkel Flow is an integration-first platform that works with your existing ML stack seamlessly and securely. Build a data-centric workflow over your infrastructure, data sources, modeling libraries, serving environments, and more.

Python SDK

Pull in existing models, create custom labeling functions, and integrate with your existing data sources, applications, and MLOps infrastructure.

Python SDK

Pull in existing models, create custom labeling functions, and integrate with your existing data sources, applications, and MLOps infrastructure.

Use Snorkel Flow’s built-in notebooks, or install the Python SDK in other environments to build integrations.

Flexible infrastructure

Choose your preferred deployment model whether that’s private cloud, public cloud, or Snorkel-hosted deployment.

Flexible infrastructure

Choose your preferred deployment model whether that’s private cloud, public cloud, or Snorkel Flow Cloud.

Snorkel Flow is Kubernetes-native and tested across AWS, Azure, GCP, OpenShift, and more.

The Snorkel Success Program

The AI/ML expertise of our success managers, engineers, and researchers is unparalleled.

We’ll work with you to enable your team and apply customer-proven best practices, maximizing your ROI and time to value.

Secure and compliant

We’re committed to upholding the security of our customers’ data, and Snorkel Flow is built around these principles. Please email security@snorkel.ai with any questions you may have.

Holistic security investments

Regular third-party penetration testing

Continuous vulnerability scanning

Secure software development and employee training

Data access and protection

Multi-provider single sign-on (SSO)

Native role-based access controls

Encryption in transit (TLS) and at rest (AES 256)

Bring everyone’s best to the table

You rely on your domain experts and business partners for insight, expertise, and feedback. Snorkel Flow makes it easy to transfer knowledge, not just labels.