Snorkel Flow

Set a new pace for AI

Snorkel Flow Overview

With Snorkel Flow you’re no longer bottlenecked by training data. Programmatic labeling and data-centric workflows accelerate AI development.

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Categories:
All
MLOps
Data
Data+MLOps

System-wide Features:
Teamwork and Collaboration
Enterprise Security
Governance
Enterprise Support

MLOps Features:
Data Acquisition
Data Versioning
Data Visualization
Data Preparation
Data Pipelines
Data Labeling
AutoML
Featurization
Feature Store
ML Pipelines or Workflows
Model Registry
Model Marketplace
Model Training
Distributed Model Training
Model Debugging
Experiment Management
Deep Learning Support
Reinforcement Learning Support
Bias Detection and Mitigation
Model Explainability
Hyperparameter Optimization
Model Packaging
Model Deployment and Serving
Edge ML Support
Model Monitoring
Cost Management
ML Infrastructure Orchestration
Accelerator Support
Kubernetes Support

Data Types Handled:
Text
Documents
Images
Video
Audio
3D point cloud
AR and VR
Geospatial

Data Labeling Done By:
Machine Labeling
Human Labeling
Human in the loop Labeling

Data Labeling Human Workforce Options:
Customer
Vendor Employees
Vendor Contractors
Third-Party Services
Selectable Citizen Geography

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Additional Product Information

Product Links

Website

Customers

Use Cases

Deploys On

Amazon Web Services
Google Cloud Platform
Microsoft Azure
Other Public Cloud
Kubernetes
NVIDIA
Private Cloud or Datacenter
SaaS

Pricing:

Free Version

Paid Version

Snorkel Vendor Information

Vendor Overview

Snorkel AI tackles a critical blocker to scaling AI: labeled training data. At Stanford AI lab, our founding team developed an automated way to build AI, replacing slow & costly hand-labeling. Today, Chubb, BNY Mellon, & other Fortune 500 companies accelerate AI development by 10-100x using Snorkel.