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.
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
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
Real-time progress sharing
Rich knowledge transfer