Snorkel AI, a provider of AI training data, has raised $350 million in Series E funding, achieving a $3.5 billion valuation. The round will fuel its data-as-a-service platform and AI safety initiatives.
TL;DR
- Snorkel AI secures $350M in Series E funding at $3.5B valuation, led by Insight and S32.
- The company will use the funds to hire engineers, invest in AI safety, and develop open-source model evaluation benchmarks.
- Snorkel AI's pivot to data-as-a-service has driven an 18x growth, with an annualized revenue run rate of $375 million.
What happened
Snorkel AI, founded in 2019 by researchers from the Stanford AI Lab, has raised $350 million in Series E funding, achieving a $3.5 billion valuation. The round was led by Insight and S32, with participation from Alphabet's GV and other backers.
The company initially focused on Snorkel Flow, a software platform that automated the creation of labeled datasets for supervised learning. Last year, Snorkel AI pivoted to offering ready-to-use training datasets and expanded into reinforcement learning.
According to co-founder and CEO Alex Ratner, Snorkel AI has grown over 18 times since launching its data-as-a-service offering, with an annualized revenue run rate of $375 million.
Why it matters
This funding round underscores the growing importance of high-quality training data in AI development. Snorkel AI's data-as-a-service platform addresses the time-consuming process of creating labeled datasets and provides ready-to-use solutions for both supervised and reinforcement learning.
The investment will enable Snorkel AI to hire more engineers, invest in AI safety initiatives, and support the development of open-source model evaluation benchmarks. This aligns with the increasing focus on AI safety and the need for standardized evaluation criteria.
For AI/ML developers and startups, Snorkel AI's expansion could provide access to more sophisticated training data and tools, potentially accelerating AI model development. For tech investors, the company's rapid growth and significant valuation highlight the market's demand for AI training data solutions.
Key facts
- Series E funding: $350 million
- Valuation: $3.5 billion
- Lead investors: Insight, S32
- Participating investors: Alphabet's GV and other backers
- Annualized revenue run rate: $375 million
- Growth since pivot: 18x
- Founded: 2019 by Stanford AI Lab researchers
- Initial product: Snorkel Flow for automated labeled dataset creation
Context
Snorkel AI's success reflects the broader trend of AI companies shifting towards data-as-a-service models. As AI models become more complex, the demand for high-quality, ready-to-use training data is increasing.
The company's expansion into reinforcement learning and its focus on AI safety initiatives are particularly notable. Reinforcement learning is a more complex AI training approach that requires unanswered questions and feedback from human reviewers or automated systems.
Snorkel AI's development of AI evaluation rubrics and training sandboxes further underscores the growing need for standardized evaluation criteria and specialized virtual environments in AI training.
