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
Industry Solutions —
Use Snorkel Flow to build powerful AI applications
Finance
- DOCUMENT & CONTRACT INTELLIGENCE
- NEWS AND SOCIAL MEDIA MONITORING
- CUSTOMER SUPPORT & ROUTING
- ANTI-MONEY LAUNDERING (AML)
Government
- ANALYST TRIAGE
- NAMED ENTITY & EVENT RECOGNITION
- RELATION EXTRACTION
Telecommunications & Cyber
- NETWORK TRAFFIC CLASSIFICATION
- NETWORK ANOMALY DETECTION
- CYBER THREAT DETECTION
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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
Classification
Label and tag text, structured, semi-structured, and multi-modal data
- Document classification
- Fraud & spam detection
- Sentiment analysis
- Anomaly detection
- Topic modeling
Information extraction
Extract entities, relationships, and structured information from complex documents and forms
- Contract & document intelligence
- Table, form, and PDF extraction
- Named entity & event recognition
- Knowledge management & discovery
Ranking
Rank content for relevance and other custom factors
- Content recommendation
- Analyst triage
- Queue prioritization
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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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