Snorkel AI has announced Application Studio, a visual builder with templated solutions for common AI use cases based on best practices from hundreds of deployments and research at top academic institutions over the last six years.
Snorkel AI also announced $35 million in Series B funding, bringing the total raised to $50 million. This round was led by Lightspeed Venture Partners; previous investors Greylock, GV, In-Q-Tel and Nepenthe Capital and new investors Walden and funds and accounts managed by BlackRock also participated.
The company will use the funding to continue scaling its engineering team and bringing its technology to leading enterprises.
Application Studio is in preview and will be generally available later this year within Snorkel Flow, the first AI development platform to programmatically label data and train, deploy and analyze models iteratively.
Application Studio provides data scientists, developers and subject matter experts with pre-built solution templates based on industry-specific use cases such as contract intelligence, news analytics and customer interaction routing or common AI tasks such as text and document classification, named entity recognition and information extraction. They help give enterprise data science teams a head start in developing their own applications.
Packaged application-specific pre-processors, programmatic labeling templates, models and features make customizing applications as easy as dragging and dropping new logic into the application flow.