Snorkel AI has launched out of stealth! Read our launch post and see coverage at:

The Data-First Platform for Enterprise AI

Build, manage, and monitor end-to-end AI applications with Snorkel Flow by focusing on the part that matters: the data.
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Technology developed and deployed with the world’s leading organizations
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A radically faster approach to AI application development

AI solutions are often blocked on one crucial ingredient — the massive labeled training datasets that fuel modern approaches. Snorkel Flow is a first-of-its-kind platform that focuses on a revolutionary new programmatic approach to labeling, building, and managing these training datasets, enabling a new level of rapid, iterative development and deployment of AI applications:
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

Platform —

A fundamentally new AI development platform centered around the data

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Label & Build

Label and build training data programmatically in hours without months of hand-labeling

Integrate & Manage

Automatically clean, integrate, and manage programmatic training data from all sources

Train & Deploy

Train and deploy state-of-the-art machine learning models in-platform or via Python SDK

Analyze & Monitor

Analyze and monitor model performance to rapidly identify and correct error modes in the data

Solutions —

Use Snorkel Flow to build powerful AI applications


FINANCIAL SERVICES

  • Contract Intelligence
  • News Analytics
  • Customer Service
  • Anti-money Laundering (AML)

PUBLIC SECTOR

  • Constituent Communications
  • Resource Management
  • Planning & Policy Making
  • Crime Detection

TELECOM AND CYBER

  • Network Optimization
  • Intrusion Detection
  • Traffic Monitoring
  • Customer Segmentation
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Case Study: Top U.S. Bank

A top U.S. bank uses Snorkel Flow to quickly build AI applications that classify and extract information from their documents. On one recent time-sensitive use case, the bank had estimated over a month of hand-labeling to build a model. With Snorkel Flow, the team produced a solution that was over 99% accurate in under 24 hours, and that could be quickly and easily adapted to new problems and business lines.
0.1%
Snorkel Flow Accuracy
< 0hrs
From problem start
> 0K
# Documents processed
Use cases —

A flexible platform for developing a range of use cases

Document Classification

Label and tag text, structured, semi-structured, and multi-modal data
  • Fraud & spam detection
  • Sentiment analysis
  • Anomaly detection
  • Topic modeling

Information extraction

Extract entities, relationships, and structured information from complex documents and forms
  • Table, form, and PDF extraction
  • Catalog creation
  • Knowledge management

NAMED ENTITY RECOGITION

Solve domain-specific syntactic and semantic challenges with NER

  • Content recommendation
  • Analyst triage
  • Search optimization
  • Account identification
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Technology —

From state-of-the-art research to production

Snorkel Flow productionizes years of research at the Stanford AI Lab — represented in 30+ research papers and co-developed with some of the world’s leading organizations — as well as on-going research in the broader community.
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Accelerate your AI application development today