Snorkel AI
Founded Year
2019Stage
Incubator/Accelerator | AliveTotal Raised
$135MMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+106 points in the past 30 days
About Snorkel AI
Snorkel AI specializes in data-centric artificial intelligence solutions for the enterprise domain. The company offers an AI data development platform that enables the development of AI applications by programmatically labeling and curating data, fine-tuning large language models, and building specialized AI models. It primarily serves sectors such as banking, healthcare, government, insurance, and telecom with its AI technology. The company was founded in 2019 and is based in Redwood City, California.
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Snorkel AI's Product Videos
ESPs containing Snorkel AI
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The data annotation market provides services for labeling large volumes of data in preparation for training AI and ML models. This market comprises both text and image & video annotation services. Most companies employ human annotators to classify and label datasets, with some offering AI-powered automation tools to speed up the process.
Snorkel AI named as Leader among 15 other companies, including Scale, Labelbox, and TELUS International.
Snorkel AI's Products & Differentiators
Snorke Flow
Snorkel Flow provides a data-centric AI platform for AI/ML teams to: Label training data programmatically and accelerate AI development 10-100x Use model error analysis from continuously updated models to guide data/AI development Adapt to real-world changes with a few clicks rather than complete relabeling
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Research containing Snorkel AI
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Snorkel AI in 7 CB Insights research briefs, most recently on Oct 11, 2024.
Oct 11, 2024
How genAI is reshaping the insurance value chain
Feb 20, 2024
The AI training data market map
Oct 13, 2023
The open-source AI development market map
Sep 29, 2023
The machine learning operations (MLOps) market map
Jul 31, 2023
The data quality market map
Expert Collections containing Snorkel AI
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Snorkel AI is included in 4 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
1,249 items
AI 100
100 items
Generative AI
942 items
Companies working on generative AI applications and infrastructure.
Artificial Intelligence
6,888 items
Snorkel AI Patents
Snorkel AI has filed 2 patents.
The 3 most popular patent topics include:
- artificial neural networks
- classification algorithms
- machine learning
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
6/26/2023 | Machine learning, Classification algorithms, Statistical classification, Artificial neural networks, Natural language processing | Application |
Application Date | 6/26/2023 |
|---|---|
Grant Date | |
Title | |
Related Topics | Machine learning, Classification algorithms, Statistical classification, Artificial neural networks, Natural language processing |
Status | Application |
Latest Snorkel AI News
Oct 17, 2024
This week we’re going back down the AI rabbit hole, but we’re venturing down a new tunnel to talk about something called data curation. Though AI is still a developing technology, it’s well enough known at this point that models are only as good as the data they’re trained on. But for enterprises looking to fine tune publicly available models, it can be a challenge to make sure they’re making the right data available. Why? Well, the vast majority of enterprise data is what is known as unstructured data. That includes any data that’s not numeric – photos, videos, emails, PDFs, you name it. Enter data curation – which is basically just the process of sorting through all this data to decide what is relevant to train the model and what’s not. Today this is mostly a tedious, manual process. But is it even worth the hassle? We spoke to Vincent Chen, Director of Product and Founding Engineer at Snorkel AI to get the lowdown on how data curation works, why it matters and whether it’s worth the hassle. This podcast is written and hosted by Diana Goovaerts. It is edited by Diana Goovaerts and Matt Rickman. Liz Coyne is our executive producer. To learn more about the topics in this episode: Snorkel AI dives into hot market of data curation https://www.fierce-network.com/cloud/snorkel-ai-dives-hot-market-data-curation Data storage gets spicy with help from AI https://www.fierce-network.com/ai/data-storage-gets-spicy-help-ai GenAI could illuminate decades worth of dark data https://www.fierce-network.com/cloud/unstructured-data-pandoras-box-genai-its-key
Snorkel AI Frequently Asked Questions (FAQ)
When was Snorkel AI founded?
Snorkel AI was founded in 2019.
Where is Snorkel AI's headquarters?
Snorkel AI's headquarters is located at 55 Perry Street, Redwood City.
What is Snorkel AI's latest funding round?
Snorkel AI's latest funding round is Incubator/Accelerator.
How much did Snorkel AI raise?
Snorkel AI raised a total of $135M.
Who are the investors of Snorkel AI?
Investors of Snorkel AI include Google Cloud Next, QBE Ventures, Greylock Partners, Google Ventures, BlackRock and 10 more.
Who are Snorkel AI's competitors?
Competitors of Snorkel AI include Centaur Labs, Ydata, Encord, Scale, Accrete and 7 more.
What products does Snorkel AI offer?
Snorkel AI's products include Snorke Flow.
Who are Snorkel AI's customers?
Customers of Snorkel AI include Chubb, F500 Telecom, F500 Biotech and Top 3 US Bank.
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Compare Snorkel AI to Competitors
Labelbox develops a training data platform for machine learning teams to build real-world artificial intelligence (AI) solutions. The platform consists of label editor tools for batch and real-time labeling workflows, collaboration, quality review, analytics, and more. It serves the government, retail, insurance, manufacturing, and healthcare sectors. It was founded in 2018 and is located in San Francisco, California.
Scale provides a data engine platform. The platform provides generative artificial intelligence (AI) strategies, including fine-tuning, prompt engineering, security, model safety, model evaluation, and enterprise applications. It serves industries such as retail, electronic commerce, logistics, and more. Scale was formerly known as Scale Labs. It was founded in 2016 and is based in San Francisco, California.
Dbrain is a company that specializes in the field of artificial intelligence, with a focus on document recognition and conversion. The company offers services that extract data from documents, including passports, bank cards, and other official documents, using artificial intelligence to transform these documents into digital data. This service primarily caters to sectors such as insurance, credit lending, employment, client identification, and taxation. It is based in Moscow, Russian Federation.
Datasaur is a company specializing in NLP data labeling and LLM development platforms. They offer a suite of tools for customizable data annotation, quality control management, and automation to enhance the efficiency of NLP and LLM projects. Datasaur's products are designed to meet the complex needs of industries such as legal, healthcare, financial, media, e-commerce, and government. It was founded in 2019 and is based in Livermore, California.
Alegion is a company that focuses on data annotation and collection services, operating within the artificial intelligence and machine learning industry. The company offers services such as data collection, data annotation, and quality control, aimed at transforming unstructured data into high-quality, model-ready training data. Alegion primarily serves sectors such as healthcare, hospitality, insurance, manufacturing, retail, security, software, and sports. It was founded in 2012 and is based in Austin, Texas.
iMerit provides data annotation solutions for enterprise artificial intelligence (AI). The company offers a data labeling platform known as Ango Hub, that includes tools for image, video, text, and audio annotation, as well as sentiment analysis, lidar annotation, content moderation, product categorization, and image segmentation. It primarily serves industries such as autonomous vehicles, medical AI, agriculture, financial services, and technology. It was founded in 2012 and is based in San Jose, California.
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