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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 Enterprise AI Platform
The Snorkel Enterprise AI Platform is the only platform that enables organizations to build AI applications with programmatic data labeling, eliminating the need to hand label data which is notoriously expensive and inefficient.
AI solutions for government
Government agencies use the Snorkel Enterprise AI Platform to build machine learning models and AI applications across a wide variety of missions and use cases.
Acquisition and financial management
the Snorkel Enterprise AI Platformhelps commercial customers and government agencies alike to quickly and easily create powerful AI/ML applications to enhance the efficiency and effectiveness of their financial operations. From unlocking new analyses, insights, and operational capabilities to smoothly ensuring regulatory compliance, the Snorkel Enterprise AI Platform enables your organization to go beyond limited off-the-shelf tools with world-class solutions built for your exact needs.
Enterprise knowledge management
Extract clauses, dates, parties, and other custom entities from complex contracts with high accuracy and flexibility using the Snorkel Enterprise AI Platform. Populate knowledge bases with information extracted from unstructured documents and structured data sources to support analytics and improve decision making.
Fraud detection and risk classification
Identify and rapidly react to potentially fraudulent financial activities, plus monitor documents and transactions to recognize potentially spurious behaviors. Systematically collect financial and non-financial data from sources in any format for better risk management, pairing complex qualitative risk assessment with custom quantitative analysis.
Processing
forms
Accelerate processing times and automate accounting workflows by extracting contextual data from contracts, invoices, receipts, and other forms, and then routing the key information to the relevant resources or triggering appropriate actions directly.
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 Enterprise AI Platform 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
Analyze massive unstructured data sources, automatically detect relevant information characterized by your own unique interests, and accelerate vital intelligence to analysts & decision-makers. Achieve greater performance gains by exploiting domain-specific features of your own data, plus rapidly and easily adapt to changes in external data inputs or internal mission objectives.
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 the Snorkel Enterprise AI Platform.
Natural language
processing
Build custom, AI-powered text analytics applications that extract entities, events, and relationships from documents across diverse sources. Develop highly-accurate machine learning models that recognize, tag, extract, and link standard or custom entities and events with guided iteration and built-in analysis tools.
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
Analyze patient health records to detect anomalies and find potentially problematic medical conditions, as well as assist diagnosis and treatment recommendations. Screen patient messages for indications of possible depression, suicidal thoughts, dementia, or other mental health issues.
Claims
processing
Identify entities in patient records and recognize insured persons, loss amount, and policyholder information to process claims faster. Monitor documents to identify potentially spurious claim behavior and extract fine-grained details from client documents that indicate likely subrogation claims.
Enhancing
research
Automate data extraction from clinical trial records for digital pathology, classify medical papers by topic to improve research access, and classify patient records to identify actionable clinical trial candidates.
Digital transformation
Artificial Intelligence and Machine Learning have already transformed virtually every industry, and are also transforming the business of government for organizations able to successfully operationalize these capabilities. the Snorkel Enterprise AI Platform makes it practical for any government agency to rapidly build adaptable AI applications to support your unique needs, goals, and missions.
Workflow
automation
Remove points of friction and automate complex procedures with a deeper, more precise understanding of processes on any channel. Replace cumbersome, error-prone manual tasks with fully-auditable, AI-enabled workflows to maximize the efficiency and effectiveness of your organization.
Strategy
development
Analyze all available information to identify and evaluate possible courses of action. Intelligently find relevance, novelty, and impact of data to inform strategic thinking and improve decision-making.
Engagement
analytics
Process chats, transcripts, emails, and other sources of information to understand every customer or constituent interaction deeply. Use your own interaction data to train machine learning models with mission or agency-specific attributes.
Cybersecurity
Building AI/ML applications for cyber use cases is notoriously difficult due to the huge volumes of data involved, the deep subject matter expertise required to annotate the data, and the continuously changing nature of the data. U.S. National Security customers today rely on the Snorkel Enterprise AI Platform to rapidly label vast amounts of network traffic data to train machine learning models for a number of mission-critical cybersecurity applications.
Network traffic
analysis
Automatically identify network activity by application type, extract device details to optimize network performance, and predict unusually high or low traffic to efficiently reallocate resources.
Policy
enforcement
Evaluate network activity against defined policies to automatically detect violations and take remedial action.
Attack/anomaly
detection
Characterize anomalous network traffic and alert organizations of suspicious activity. Identify and monitor malicious attacks in real time.
A radically new approach to AI
Conventional AI approaches rely on generic third-party models, or brittle rule-based systems, or armies of human labelers. With the Snorkel Enterprise AI Platform, programmatically labeling unlocks a new workflow that accelerates AI app development.
With Snorkel Enterprise AI Platform
Customize state-of-the-art models by training with your data & adapt to changing data or goals with a few lines of code.
Leverage cutting-edge ML to go beyond simple rules and retain the flexibility to audit and adapt.
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
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