Accelerate AI development with programmatic data labeling and LLM customization
Snorkel AI helps organizations build custom AI models by programmatically labeling and managing training data. Instead of manual labeling, teams use domain expertise to create rules that automatically annotate datasets, speeding up AI development cycles for NLP, computer vision, and LLM applications.
Automate data annotation using domain-specific rules instead of manual work
Create custom metrics for domain-specific model performance analysis
Improve retrieval accuracy in generative AI systems
Customize LLMs for specialized tasks and compliance
Uses programmatic rules from domain experts to automatically label entire datasets instead of manual annotation
Focuses on data-centric development with collaborative tools for domain experts and data scientists
Yes, supports both NLP and computer vision applications
This tool is best for:
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Recent data shows that Snorkel AI has 107.0K monthly visits (10.2% increase from the previous month), 47.0% bounce rate, and average 1.81 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 43% of total traffic. SEO performance is shown by 5 tracked keywords, with "snorkel ai" being the top-performing keyword with 14.3K monthly searches. See below for more info.
Monthly Visits
107.0K
Pages per Visit
1.81
Bounce Rate
47.0%
Average Time on Site
55s
| SEO Keyword | Volume | CPC |
|---|---|---|
| snorkel ai | 14.3K | $4.38 |
| snorkel | 49.4K | $0.76 |
| snorkel ai careers | 2.6K | $2.84 |
| snorkle ai | 750 | $4.53 |
| snorkelai | 410 | $4.67 |
| Source | Traffic Share |
|---|---|
| Direct | 39% |
| Search | 50% |
| Social | 3% |
| Referrals | 7% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 43% |
 | 16% |
 | 6% |
 | 4% |
 | 3% |
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