Snorkel Flow

Snorkel Flow

A radically faster approach to building and deploying AI applications
Snorkel Flow Overview

Modern AI approaches require massive labeled training datasets to learn from, which traditionally rely on armies of human annotators to label by hand. In Snorkel Flow, users programmatically label, build, and augment training data to drive a radically faster, more flexible, and higher quality end-to-end AI development and deployment process:

*Build and deploy AI in hours without months of hand-labeling
*Iteratively develop, monitor, and adapt to changing inputs and objectives
*Keep data private by avoiding off-premises manual labeling
*Leverage your entire organization's knowledge and data to fuel AI

Deploys On
  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure
  • Other Public Cloud
  • Kubernetes
  • Private Cloud or Datacenter
  • SaaS

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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.

Vendor Details
Year Founded
2019
HQ Location
Palo Alto, California, United States
Ownership
Private
Snorkel Flow

Contact Request

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