The data-centric platform of enterprise AI
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.
Snorkel AI may be growing as evidenced by a series of financial and operational developments. The company has achieved over 40% cost savings by scaling machine learning workloads, which indicates improved operational efficiency and cost management. Additionally, Snorkel AI has attracted investment from QBE Ventures, suggesting confidence from investors and an infusion of capital that could support further growth. These factors, combined with the company's relevance in the booming AI industry, where data labeling companies are raising prices due to increased demand, suggest that Snorkel AI is in a strong position within its market.
Co-Founder and CEO | 2019-01-01
Co-Founder & Head of Technology | 2019-05-01
Co-Founder | 2019-01-01
Co-Founder | 2019-01-01
Co-Founder
Head of Business Operations and Finance | 2020-02-01
Head of Talent | 2021-07-31
Vice President of Marketing | 2020-07-01
Business Operations & Growth Manager | 2020-06-01
Enterprise Account Executive - West
2024-08-20
San Francisco Bay Area
Software Engineer — Backend
2024-08-18
Redwood City, CA
RVP - Enterprise Sales - NE
2024-08-18
New York, NY
Product Manager (Enterprise Functionality Focus)
2024-08-18
Redwood City, CA
Applied Machine Learning Engineer
2024-08-18
Redwood City, CA
Director, ML Pre-Sales Engineering
2024-08-18
Redwood City, CA
Technical Program Manager
2024-08-18
Redwood City, CA
ML Enablement Lead
2024-08-18
New York, NY
Machine Learning (Pre-Sales) Solutions Engineer
2024-08-18
New York, NY
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