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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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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