snorkel.ai Open in urlscan Pro
44.225.127.158  Public Scan

Form analysis
1 forms found in the DOM

GET https://snorkel.ai/

<form class="x-search e8567-e21 m6lz-13" data-x-search="{&quot;search&quot;:true}" action="https://snorkel.ai/" method="get" id="search_input"><label class="visually-hidden" for="s-e8567-e21">Search</label><input id="s-e8567-e21"
    class="x-search-input" type="search" name="s" value="" tabindex="0" placeholder="Search"><button class="x-search-btn x-search-btn-submit" type="button" data-x-search-submit="" tabindex="0"><span class="visually-hidden">Submit</span><svg
      xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="-1 -1 25 25">
      <circle fill="none" stroke-width="2" stroke-linecap="square" stroke-miterlimit="10" cx="10" cy="10" r="9" stroke-linejoin="miter"></circle>
      <line fill="none" stroke-width="2" stroke-linecap="square" stroke-miterlimit="10" x1="22" y1="22" x2="16.4" y2="16.4" stroke-linejoin="miter"></line>
    </svg></button><button class="x-search-btn x-search-btn-clear" type="button" data-x-search-clear="" tabindex="0"><span class="visually-hidden">Clear</span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px"
      y="0px" viewBox="-1 -1 25 25">
      <line fill="none" stroke-width="3" stroke-linecap="square" stroke-miterlimit="10" x1="19" y1="5" x2="5" y2="19" stroke-linejoin="miter"></line>
      <line fill="none" stroke-width="3" stroke-linecap="square" stroke-miterlimit="10" x1="19" y1="19" x2="5" y2="5" stroke-linejoin="miter"></line>
    </svg></button></form>

Text Content

Snorkel AI is a Gartner Cool Vendor for Data-Centric AI.

Get the report
 * Product
   * PRODUCT
   * Menu Item
     * Snorkel Flow – Accelerate AI development with the data-centric platform
       powered by programmatic labeling.
     * Data labeling – Label programmatically by distilling expertise into
       functions that power intelligent auto-labeling.
     * Model training and analysis – Continuously update and analyze models to
       guide rapid iteration and improvement.
   * Menu Item
     * Foundation models – Bridge adaptation and deployment gaps to use
       foundation models for enterprise production use cases.
     * Enterprise – Benefit from enterprise-grade interoperability, security,
       expertise, and more.
 * Solutions
   * Solutions
   * Menu Item
     * Selected industry use cases
     * AI for banking – Personalize customer interactions, manage risk, and
       improve resource utilization.
     * AI for healthcare – Speed clinical trial success, improve patient
       outcomes, and enhance research.
     * AI for government – Build machine learning models and AI applications
       across a wide variety of missions and use cases.
     * AI for insurance – Detect fraud, speed claims processing, and improve
       underwriting workflows.
     * AI for telecom – Assess network health, tailor customer support, and
       detect security risks.
   * Menu Item
     * Selected AI applications
     * Document classification – Improve performance by exploiting features
       unique to your data with custom classification apps.
     * Named entity recognition – Solve domain-specific syntactic and semantic
       challenges with precise NER apps.
     * Information extraction – Collect useful text and data from virtually any
       table or form with flexible extraction apps.
     * Conversational AI – Automate responses to customer inquiries to improve
       efficiency and customer satisfaction.
     * Sentiment analysis – Tackle complex NLP challenges with nuanced sentiment
       analysis apps.
 * Technology
   * TECHNOLOGY
   * Menu Item
     * Data-centric AI – Learn about the impact of moving from model-centric to
       data-centric AI.
     * Weak supervision – Explore weak supervision approaches and how they
       accelerate training data creation.
   * Menu Item
     * Programmatic labeling – See how programmatic labeling breaks through the
       primary bottleneck facing AI.
     * Snorkel research project – Read how Snorkel open source has advanced to
       production as the Snorkel Flow platform.
 * Case studies
   * CASE STUDIES
   * Menu Item
     * Apple
     * Big four consulting firm
     * Fortune 50 bank
     * Fortune 500 telecom
     * Global custodian bank
     * Global financial services leader
     * Global insurance leader
     * Google
   * Menu Item
     * Intel
     * Memorial Sloan Kettering Cancer Center
     * Schlumberger
     * Stanford Medicine
     * Tide
     * Top 5 Pharma
     * Top US bank
 * Resources
   * RESOURCES
   * Menu Item
     * Blog – Browse the latest posts from Snorkel AI experts, customers, and
       industry leaders.
     * Events – Attend events to discover new ideas and make connections with
       AI/ML practitioners.
     * Frequently asked questions – Explore frequently asked questions on
       scalable AI development, Snorkel AI, and Snorkel Flow
   * Menu Item
     * Press – Read the latest news about Snorkel AI and Snorkel Flow customers.
     * Research papers – Explore 60+ peer-reviewed papers published as part of
       the Snorkel research project.
 * Company
   * COMPANY
   * Menu Item
     * About us – Snorkel AI is redefining how AI applications are built. Learn
       about our mission, team, and culture.
     * Careers – We’re bringing together some of the best minds in AI and
       machine learning. Join us.
     * Partners – We work with an innovative ecosystem of partners focused on
       delivering value through data-centric AI.
 * Request a demo

Close
Request a demo

SearchSubmitClear



AI BEYOND MANUAL LABELING
NOW SUPERCHARGED BY FOUNDATION MODELS

Accelerate time to value with our transformative approach to data-centric
AI—powered by programmatic labeling and now, foundation models.
Request a demo

Data-centric AI technology developed at the Stanford AI Lab and proven at
world-leading companies


INTRODUCING DATA-CENTRIC FOUNDATION MODEL DEVELOPMENT

New Snorkel Flow capabilities for enterprises to unlock complex,
performance-critical use cases with GPT-3, RoBERTa, T5, and other foundation
models.

Pixability distilled knowledge from foundation models and built smaller
classification models with 90% accuracy in days with Data-centric Foundation
Model Development in Snorkel Flow.

Learn more


THE DATA-CENTRIC AI PLATFORM

Bring high-quality models to production faster with Snorkel Flow’s data-centric
AI workflow. Accelerate AI development with programmatic labeling, rapid
training data and model iteration, enhanced domain expert collaboration, and
breakthrough application of all available knowledge—including the latest
foundation models.


AUTOMATE DATA LABELING

Use labeling functions (LFs) to programmatically label and encode rationale for
labeling decisions. Partner with domain experts to curate data and troubleshoot
errors. Snorkel Flow applies weak supervision techniques to intelligently
combine and denoise LFs to auto-label vast training datasets in minutes.

Top US bank labeled 250K loan documents programmatically in under 24 hours.

See how it works


TRAIN AND ANALYZE MODELS

Guide rapid iteration with integrated model training and analysis to measure and
improve training data and model quality. Choose from a library of leading
models—including the latest foundation models—and train with a single click.

Memorial Sloan Kettering achieved 93% accuracy with rapid training data and
model iteration.

See how it works


LEVERAGE FOUNDATION MODELS

Build large, domain-specific training sets to fine-tune foundation models in
minutes. Or distill domain-specific knowledge from foundation models to train
smaller, specialized deployable models. Snorkel Flow makes it possible to adopt
foundation models for complex, performance-critical use cases.

Pixability distilled knowledge from foundation models and built a smaller
deployment model with 90% accuracy in days.

See how it works


GET MORE FROM DOMAIN EXPERT PARTNERSHIP

Don't limit your subject matter experts' participation to tediously labeling one
by one. Empower them to transfer their knowledge in a fraction of the time
required by manual labeling. Activate their expertise for dramatically better
training data creation, iteration, and troubleshooting.

Global custodian bank saved 10,000 hours of investment managers' time by
improving collaboration.

See how it works


ENTERPRISE PROVEN AND READY

Cloud-agnostic and fully interoperable with your existing ML stack. Snorkel Flow
provides enterprise-grade security and governance, user-tailored workflows, and
access to unparalleled expertise.
Explore enterprise features

Data ingest

Quickly and securely integrate to data pipelines or upload data locally.




Model training

Train custom models or choose from leading model frameworks with optional
AutoML.




Production serving

Deploy your models within Snorkel Flow or export to the service of your choice.



Infrastructure

Host Snorkel Flow within the secure infrastructure of your choice.





DEEP PLATFORM SUPPORT FOR COMPLEX ML TASKS AND DATA TYPES

Build powerful AI solutions to handle real-world tasks over complex data types.
Combine ML tasks for multi-model applications across a range of complex data
types and formats.

Document classification

Information extraction

Structured data classification

Sequence tagging

Conversation analysis



--------------------------------------------------------------------------------

SUPPORTED DATA TYPES

--------------------------------------------------------------------------------

Conversational text
Text documents

Native PDFs

HTML files

Semi-structured/ tabular data

Numeric data
Network data
And more

--------------------------------------------------------------------------------

--------------------------------------------------------------------------------


ACCELERATE AI DEVELOPMENT BY 10-100X

Snorkel AI accelerates AI development for Fortune 500 enterprises, government
agencies, and other AI innovators from months to minutes.

With Snorkel Flow, our teams can collaborate on data accuracy and improve time
efficiencies for our highly valued physicians and medical professionals.

Janet Mak
Deputy CIO and VP of Digital Solutions

Learn more
Azure AI integrates Snorkel Flow's improved development cycle to automatically
label and easily train new custom AI models.

Xuedong Huang
CTO, Azure AI

Learn more
Iterating training data and models took months before. It literally takes
minutes using Snorkel Flow.

Swaroop Kalasapur
Head of Science Technology Innovation Center

Learn more
Snorkel Flow made the [clinical trial analytics] pipeline development a
drag-and-drop experience.

Michael DAndrea
Principal Data Scientist

Learn more


70+ RESEARCH PUBLICATIONS ON DATA-CENTRIC AI

Snorkel AI started as a research project at the Stanford AI Lab in 2015. Our
founding team has spent over half a decade exploring programmatic labeling, weak
supervision, and other data-centric AI techniques resulting in the Snorkel
Research Project and 70+ peer-reviewed publications. We continue to invest in
research with our academic partners, frequently publish in prominent journals,
and productionize new advances in Snorkel Flow.

Learn more

DIVE IN

 * Press
 * Customer Stories
 * Research
 * Recent Blog Posts

[get_press_posts]
[get_press_posts]
[get_press_posts]
[get_press_posts]
Press
Blog
Research
Case studies

PRESS

November 17, 2022
Snorkel AI Accelerates Foundation Model Adoption with Data-centric AI

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

November 17, 2022
AI startup Snorkel preps a new kind of expert for enterprise AI

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

November 17, 2022
Snorkel dives into data labeling and foundation AI models

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

July 28, 2022
Here’s why a gold rush of NLP startups is about to arrive

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

View more press coverage

BLOG

November 17, 2022
Data-centric Foundation Model Development: Bridging the gap between foundation
models and enterprise AI

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

November 17, 2022
Better not bigger: How to get GPT-3 quality at 0.1% the cost

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

November 3, 2022
Building an NLP application to analyze ESG factors in Earnings Calls using
Snorkel Flow

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

August 4, 2022
The Future of Data-Centric AI 2022 day 1 highlights

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

Read more blog content

RESEARCH

2022
Universalizing Weak Supervision

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

2021
Ontology-driven weak supervision for clinical entity classification in electronic
health records

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

2017
Rapid Training Data Creation with Weak Supervision

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

2016
Data Programming: Creating Large Datasets Quickly

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

See more research

CUSTOMER STORIES

September 30, 2022
How Schlumberger uses Snorkel Flow to enhance proactive well management

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

September 30, 2022
How a global custodial bank automated KYC verification with Snorkel Flow

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

September 28, 2022
How Memorial Sloan Kettering Cancer Center used Snorkel Flow to scale clinical
trial screening

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

February 26, 2022
How Genentech extracted information for clinical trial analytics with Snorkel
Flow

--------------------------------------------------------------------------------



--------------------------------------------------------------------------------

Read more case studies


ARE YOU READY TO DIVE IN?

Label data programmatically, train models efficiently, improve performance
iteratively, and deploy applications rapidly—all in one platform.
Request a demo


PRODUCT

 * Snorkel Flow
 * Label
 * Model
 * Foundation models
 * Enterprise


SOLUTIONS


AI APPLICATIONS

 * Document classification
 * Named entity recognition
 * Information extraction
 * Conversational AI
 * Sentiment analysis


INDUSTRY USE CASES

 * AI for banking
 * AI for government
 * AI for healthcare
 * AI for insurance
 * AI for telecom


TECHNOLOGY

 * Snorkel AI Technology
 * Data-centric AI
 * Weak supervision
 * Programmatic labeling
 * Snorkel research project


CASE STUDIES

 * Apple
 * Big four consulting firm
 * Fortune 50 bank
 * Fortune 500 telecom
 * Global custodian bank
 * Global financial services leader
 * Global insurance leader
 * Google
 * Intel
 * Memorial Sloan Kettering Cancer Center
 * Stanford Medicine
 * Tide
 * Top 5 biotech
 * Top US bank


RESOURCES

 * Blog
 * Events
 * FAQ
 * Press
 * Research papers
 *  

 


COMPANY

 * Overview
 * Careers
 * Snorkel logo


CONTACT

 * Contact us
 * Request a demo

--------------------------------------------------------------------------------

Copyright © 2022 Snorkel AI, Inc. All rights reserved.
Terms of Use Privacy Cookie Policy

6:41