Snorkel AI makes AI development fast and practical by transforming manual AI development processes into programmatic solutions. Snorkel AI enables enterprises to develop AI that works for their unique workloads using their proprietary data and knowledge 10-100x faster. Five of the top ten US banks, several government agencies, and Fortune 500 companies use Snorkel. Snorkel’s core research was developed at Stanford AI lab and is deployed at Google, Intel, Apple, IBM, DARPA, and other trailblazing organizations. Backed by Addition, Greylock, GV, In-Q-Tel, Lightspeed Venture Partners and funds and accounts managed by BlackRock, the company is based in Palo Alto. For more information on Snorkel AI, please visit: https://www.snorkel.ai/ or follow @SnorkelAI.

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Lightspeed Venture Partners

Nepenthe Capital

Google Ventures

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Walden International

Stonebridge Ventures

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Snorkel AI

Nearly two out of five respondents to our poll said their organization had zero production applications backed by customized LLMs in 2023. Only seven percent said they expected that to be the case by the end of 2024.

That's a big leap!

See more in our survey results. #genai #llm #enterpriseai

Professor Stephen Bach offers an exceptionally clear description of the three training phases required to make LLMs perform. 

 

#largelanguagemodels #llmtraining #genai

Headed to #GartnerDA? Don't miss Kristina Liapchin's talk: How to Enhance the Value of Generative AI With Your Own Data. Add to 📅: http://snkl.ai/gkl 
Book a live demo: http://snkl.ai/dasavp Booth #1544 & enter to win an Apple Vision Pro. So much goodness! #GenAI #generativeai

Traditional AI data development is slow, error prone & unauditable. Let's change that! Programmatic labeling is 100x faster, auditable & easily adaptable. Join us at Gartner Data & Analytics 2024 booth #1544 and see what high-quality AI data with less effort is like. Book a demo, enter to win an Apple Vision Pro. 👉 https://lnkd.in/ewnQfHxF
#GartnerDA

Headed to Gartner Data & Analytics Summit 2024? We are too! Book a demo to see how Snorkel Flow is helping the F500. And enter to win an Apple Vision Pro. Booth #1544. See you there! 
👉 https://lnkd.in/ewnQfHxF
#gartnerda 

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Co-Founder and CEO

Alexander Ratner

Co-Founder & Head of Technology

Braden Hancock

Co-Founder

Henry Ehrenberg

Business Management

Paroma Varma

Vice President of Marketing

Devang Sachdev

Sales and Support

Karim Tarmohamed

VP of Engineering

Kiran Bondalapati

Director of Growth and Strategy

Alexis Zumwalt

Head of Partnerships

Friea Berg

Joe Morrissey

Saam Motamedi

Ravi Mhatre

Chris Re

Jordan Windmueller

Head of Business Operations and Finance

Shwetha Alampalli

Head of Talent

Companies With Less Than $500M in Revenue (Top 10K)

Companies With More Than $1M in Revenue (Top 10K)

Private California Companies (Top 10K)

California Companies With More Than $1M in Revenue (Top 10K)

Snorkel AI tackles a critical blocker to scaling AI: labeled training data. At Stanford AI lab, our founding team developed an automated way to build AI, replacing slow & costly hand-labeling. Today, Chubb, BNY Mellon, & other Fortune 500 companies accelerate AI development by 10-100x using Snorkel.

Venture Round - Snorkel AI

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[YS Exclusive] Athina AI raises $3M in seed funding from Perplexity Co-founder Denis Yarats, Y Combinator, and others

Athina AI Nets $3 Mn To Help Enterprises Build Production-Grade AI Apps

Tanfield hails Nevada judge's Snorkel accounts order

Snorkel AI Signs Agreement with BNY to Accelerate the Development of Predictive AI Models

TIL signs sales, services pact with Snorkel Europe

Vincent Sunn Chen on LinkedIn: Snorkel AI signs strategic collaboration agreement with AWS to help…

Chris Swart on LinkedIn: Really enjoyed Snorkel AI's webinar today on Improving RAG outcomes, my…

How Snorkel Flow helps document intelligence | Snorkel AI posted on the topic

Snorkel Flow update makes it easier to use enterprise data with Llama 3, Gemini AI

A platform that enables the development of AI applications by automating tasks such as filtering, curating, labeling, and slicing data.

Allows for the creation of training datasets by encoding domain expertise into labeling functions, automating the data labeling process.

Tools for systematically identifying errors in machine learning models to improve data quality and model performance.

Supports training of both open-source and proprietary machine learning models with techniques like fine-tuning and pre-training.

Facilitates collaboration between subject matter experts and data science teams to harness collective expertise for AI development.

Kenya

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Develops high-performance computing applications for learning, usage, and implementation

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Redefine

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Altair RapidMiner

Provides pre-collected and structured training datasets, hosts an online marketplace for data

Defined.ai

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Snorkel AI is a data-centric AI platform that empowers enterprises to develop AI solutions using their proprietary data and knowledge 10-100x faster. The company's platform, Snorkel Flow, is designed to capture and encode domain expertise, automate manual tasks, and improve data quality for AI development.

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