Snorkel for
public sector
Snorkel AI's partnership with the U.S. government started with the 20+ government grants that funded the original research at the Stanford AI Lab, and it continues with the many government customers that we are proud to serve today.
Snorkel Flow
AI solutions for government
Aquisition and financial management
Enterprise knowledge management
Fraud detection and risk classification
Processing
forms
Intelligence and advanced analytics
AI/ML is the ultimate “force multiplier” for analysts sifting through endless volumes of data, whether trying to find a needle in the haystack or summarizing across all of your data holdings. Snorkel Flow helps U.S. National Security customers create game-changing AI/ML applications to analyze and connect disparate data sets, apply context and infer meaning, and ensure intelligence advantage.
Triage
and monitoring
Predictive
analytics
Make sense of enormous collections of structured data sets, using historical data to enable predictions on streaming input data, identify long-term trends, and forecast future shifts. Train high-accuracy, adaptive anomaly detection models over databases, logs, network traffic, and more, without hand labeling training data using Snorkel Flow.
Natural language
processing
Healthcare
AI and machine learning are powerful tools for accelerating the speed and quality of the life-saving work performed by medical professionals from the research lab to the emergency room. Snorkel’s technology has been used for text extraction applications on medical records at the Department of Veterans Affairs, to mine scientific literature for adverse drug reactions in collaboration with the Food and Drug Administration, and profiling presenting symptoms of patients screened for COVID-19.
Improving patient outcomes
Claims
processing
Enhancing
research
Digital transformation
Workflow
automation
Strategy
development
Engagement
analytics
Cybersecurity
Network traffic
analysis
Policy
enforcement
Attack/anomaly
detection
A radically new approach to AI
With Snorkel Flow
Label thousands of data points
programmatically in hours while keeping your data in-house and private.
With conventional approaches
Hand labeled ML is hugely expensive, with usually no way to iterate, adapt, be privacy compliant, audit, or reuse.
Pre-trained vendor models often don’t work on your data; no way to customize, adapt, or audit.
Rules-based approaches often don’t perform well on complex data or adapt easily to data or goal changes.
AI data development resources for public sector agencies
Ready to get started?
Take the next step and see how you can accelerate AI development by 100x.