Snorkel AI heads into 2023 with record momentum and growth

The leader in data-centric AI tripled its customer base, introduced new innovations for foundational models, and significantly expanded its ML stack integration ecosystem

Snorkel AI today announced record business momentum in 2022, driven by triple-digit customer growth. New clients include BNY Mellon, Black Swan Data, Georgetown University's Center for Security and Emerging Technology (CSET), and Pixability. Snorkel AI has also added five of the top ten U.S. banks to its client portfolio and has expanded its roster with a number of government agencies and Fortune 500 companies in the financial services, insurance, pharmaceutical and healthcare, manufacturing and Retail.

Benefits

The business teams of data science e machine learning use Snorkelling Flow, the platform AI company's flagship powered by programmatic tagging, to accelerate AI application development by 10-100 times. Organizations achieve return on investment of hundreds of thousands to over a million dollars per project and unlock new use cases for NLP, document processing, automation, analytics and more locked by manual labelling.

“The pace of AI advances is accelerating, especially in basic models,” said Alex Ratner, CEO and co-founder of Snorkel AI. “However, more enterprises than ever are locked into the training data needed to tailor models to their specific use cases and production quality requirements. With our data-centric AI platform, we bridge the gap between enterprise AI and the latest innovations. Our market leadership and growth are clear indicators of the value this unlocks for our customers."

Innovation Snorkel AI

Snorkel AI continued to innovate in 2022 by announcing the general availability of Snorkel Flow. The company has also added a number of data-centric and AI capabilities designed to accelerate enterprise AI development with automated labeling, efficient collaboration between data scientists and subject matter experts, and rapid, model-driven iteration .

Data-centric foundation model development: Workflows to refine basic models or large language models and use them to build smaller, specialized models to deploy for complex and performance-critical business use cases .

• Continuous model feedback: Automated model training and built-in analytics to provide near real-time guidance as training data develops.
• Cluster view: Instant embedding-based clustering and auto-generated cluster labeling functions to quickly transform a huge unlabeled dataset into high-quality training data.
• New study: Support for a broad range of data types and ML tasks, such as text and document classification and extraction, conversational AI and PDF pipelines, sequence tagging, and more.

highlights of 2022

• Expanded partnership ecosystem: Snorkel AI has delved into partnerships in the enterprise AI ecosystem, including Microsoft Azure AI Services, Google BigQuery and Vertex AI, Snowflake, Aimpoint Digital, Four Inc., and more.
• Hosted the largest data-centric AI conference: The Future of Data-Centric AI 2022 brought together thousands of team leaders data science and analytics, AI/ML professionals, researchers, and students. The three-day event featured over 50 sessions from Apple, AstraZeneca, CIA, Capital One, Comcast, Databricks, Ford, Google, JPMorgan Chase, Meta, NVIDIA, Orange, State Farm and more.
• Publication of an innovative research: Snorkel AI Research has published over 30 papers at NeurIPS, ICLR, ACL and others with academic partners at Brown University, Stanford University, University of Washington and University of Wisconsin-Madison. The research team has also contributed to important initiatives such as the WRENCH benchmark and BigScience, which have advanced the state of the art of data-centric AI.
• Industry and analyst recognition: Snorkel AI was named a 2022 Cool Vendor in their AI Core Technologies report and ranked in the CBInsights AI 100: Most Promising AI Startups 2022. The company was also recognized by VentureBeat for the AI ​​innovation award for Applied AI. Additionally, Snorkel AI has been featured on WingVC: Top 30 Enterprise Tech and the CRN: Top 10 Hottest AI Startups and Emerging Vendors lists.

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