Snorkel AI started as a research project in the Stanford AI Lab in 2016, where we set out to explore a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying early versions of Snorkel Flow's core technology with some of the world’s leading organizations, to empowering scientists, doctors, and journalists, we’ve seen firsthand how this approach democratizes and accelerates AI. Now, we’re working to bring our technology to everyone.
Build, manage, and monitor end-to-end AI applications with Snorkel Flow by focusing on the part that matters: the data.
B2C, B2B
26 to 50
Series A
$15 M
Scaling Up
2019
Enterprise Software
Computer Software
Application Software
Document classification
Information extraction
Ranking
Content recommendation
N/A
IT and Security
Yes
Active
Machine Learning
Natural Language Processing
N/A
Software
Head of Growth Marketing
Palo Alto, California
Machine Learning Engineer
Palo Alto, California
Platform / Infrastructure Engineer
Palo Alto, California
Full Stack Engineer
Palo Alto, California
Front-end Engineer
Palo Alto, California
AI/ML Professionals
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7
2
$60M
Company was founded 2019 and it took almost 2 years (Apr 2021) to raise first external round
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