Snorkel's technology powers AI-based solutions across a wide range of industries and use cases.
Intelligent Apps, Customized With Your Data
Endless Use Cases
Build and deploy AI applications, previously blocked on training data, on an enterprise-grade platform.
Extract entities, events, and relationships to improve investment and risk strategies and more.
Manage credit risk by collecting financial and non-financial data in any format from statements.
Extract and organize data from a wide variety of complex contracts efficiently.
Confirm customer identity to open more accounts, improve ACH success rates, and reduce fraud.
Know Your Customer (KYC)
Know your customers better to offer new services via robo-advisors or AI-assisted wealth management.
Employ state-of-the-art ML models, trained on your private data, and customized for your trading strategies.
Automate back-office operations for accounting reconciliations, check validation, overdraft protection, and more.
Predict credit-worthiness with fairness and precision using extensive data and organizational resources.
Cyber Risk Management
Investigate suspicious IP addresses or traffic patterns from network data to prevent cybersecurity breaches.
Predict issues and route interactions to the right team or fine-tune IVR or chatbot responses.
Create smart search indexes to locate records with specific attributes, like loan rates or credit scores.
Anti Money Laundering
Identify money laundering patterns by extracting client ID, IBAN number, and transaction details.
Run comprehensive compliance analysis on contracts, emails, reports, and other data sources.
Classify policy documents on the basis of the behavior or occupation to assess risk.
Claims Fraud Detection
Monitor documents and forms to identify potentially suspicious claims.
Evaluate risks associated with a policy by extracting contextual data from contracts and forms.
Recognize entities like involved parties, loss amount, and the policyholder to process claims faster.
Determine clinical trial candidates by categorizing patient records.
Detect anomalies in patient health records to find potentially problematic medical conditions.
Clinical Decision Support
Extract previous health events from patient records to assist with diagnoses and treatment recommendations.
Find entities in patient records to identify health patterns and improve diagnoses.
Build customized promotions by analyzing customer behavior and demographics.
Predict traffic with precision to efficiently reallocate resources in real-time.
Understand every customer interaction deeply by analyzing chats, emails, and tickets.
Tie information from documents to geospatial analysis to discover new market opportunities.
Automatically monitor network performance, detect and respond to issues immediately.
Understand customer sentiment and invest in better support options to alleviate friction points.
Manage, sort, and process forms and documents while maintaining data security.
Identify network threats, protect from virus or malware, model user behavior, and monitor emails.
Automate management processes and create resource allotment plans or predictive maintenance schedules.
Route constituent communications to the right department, offer chatbot services or analyze survey data.
Planning and Policy Making
Process constituent feedback and expert opinions on a large scale to inform policy-making.
Support field investigation with machine learning to detect non-compliance, money laundering or other financial crimes.
Augment image and vision-based GIS applications to use the sensor, coordinates, zip codes, and other textual data.
Identify named entities in customer search queries and optimize content on websites.
Email Filtering & Routing
Classify emails to remove spam and route queries to the correct channels.
Extract information from invoices or receipts for accounting or expense analysis.
Understand customer sentiment to maximize investments in improving customer engagement.
Personalize and moderate content based on user behavior, attributes, and policies
Enhance recommender systems by identifying entities (price, keywords, etc.) in product descriptions.
Extract detailed information from customer receipts to understand analyze shopping behaviors.
Detect incidents in call logs to prevent loss of revenue, negative social posts, or calls from upset customers.
Case Study —
Designed for Collaboration
For Data Scientists
- Ready-to-use model zoo
- Auto-generated analysis tools
- Integrated Python notebooks
For Domain Experts
- Rich data annotation suite
- Intuitive, no-code labeling UI
- Model error analysis reports
- Fully interoperable API and web UI
- Write custom operators with Python SDK
- Integrations to deploy models at scale