Snorkel AI, known for pioneering data centric AI development, has closed a $100 million Series D funding round, boosting its total valuation to an impressive $1.3 billion. This solidifies its position as a major force in enterprise AI infrastructure.
Born out of the Stanford AI Lab, Snorkel AI is transforming how organizations train machine learning models by shifting the focus from manual to programmatic data labeling. Its flagship platform, Snorkel Flow, empowers teams to build and improve AI models faster by labeling data through code instead of repetitive manual processes.
CEO Alex Ratner remarked: “What used to take months, our clients now achieve in a matter of days.”
Snorkel AI Reinvents Labeling, Lands $100M Investment
Alongside the funding announcement, the company introduced Application Studio, a visual tool that provides prebuilt templates for common AI use cases. With it, businesses can quickly build applications like:
- Contract and legal document analysis
- Customer support automation
- News and media intelligence
Snorkel AI’s tools are already delivering measurable impact. One of the top three banks in the U.S. developed an advanced contract review system using Snorkel Flow achieving over 99% accuracy in less than 24 hours.
A partner from the financial sector noted: “Snorkel eliminated the biggest bottleneck in AI labeling quality data at scale.”
What’s Next?
With this fresh capital, Snorkel AI plans to:
- Expand its engineering and customer success teams
- Develop deeper vertical solutions for industries like finance, healthcare, and law
- Accelerate innovation in AI workflows and tooling
Final Thoughts
As AI adoption surges across industries, Snorkel AI is proving that data quality is just as critical as model architecture.
Its programmatic, fast, and scalable approach to building AI systems is helping enterprises unlock real business value and the momentum is only growing.
